Springer Healthcare

Displaying 1-40 of 701 results

  • White Papers // Aug 2014

    Competitive Location in Cognitive Radio Networks

    In this paper, the authors address the problem of strategic base stations placement in cognitive radio networks. They consider a primary user, operating on the frequency channels of a primary network, and an operator (a leader) facing the competition of a second operator (a follower). These operators are willing to...

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  • White Papers // Jul 2014

    Geometrical Localization Algorithm for 3-D Wireless Sensor Networks

    In this paper, the authors propose an efficient range free localization scheme for large scale three dimensional wireless sensor networks. Their system environment consists of two type of sensors, randomly deployed static sensors and global positioning system equipped moving sensors. These moving anchors travels across the network field and broadcast...

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  • White Papers // Jun 2014

    A Comparative Study on Resource Allocation and Energy Efficient Job Scheduling Strategies in Large-Scale Parallel Computing Systems

    In the large-scale parallel computing environment, resource allocation and energy efficient techniques are required to deliver the Quality of Services (QoS) and to reduce the operational cost of the system. Because the cost of the energy consumption in the environment is a dominant part of the owner's and user's budget....

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  • White Papers // Jun 2014

    Phoenix: DGA-Based Botnet Tracking and Intelligence

    Modern botnets rely on Domain-Generation Algorithms (DGAs) to build resilient command-and-control infrastructures. Given the prevalence of this mechanism, recent paper has focused on the analysis of DNS traffic to recognize botnets based on their DGAs. While previous paper has concentrated on detection, the authors focus on supporting intelligence operations. They...

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  • White Papers // Jun 2014

    A Survey and Taxonomy on Energy Efficient Resource Allocation Techniques for Cloud Computing Systems

    In a cloud computing paradigm, energy efficient allocation of different virtualized ICT resources (servers, storage disks, and networks, and the like) is a complex problem due to the presence of heterogeneous application (e.g., content delivery networks, MapReduce, web applications, and the like) workloads having contentious allocation requirements in terms of...

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  • White Papers // Jun 2014

    Dual-Access Way-Prediction Cache for Embedded Systems

    Way-Prediction (WP) caches have advantages of reducing power consumption and latency for highly associative data caches and thus are favorable for embedded systems. In this paper, the authors propose an enhanced way-prediction cache, Dual-Access Way-Prediction (DAWP) cache, to cope with the weakness of the WP cache. The prediction logic designed...

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  • White Papers // May 2014

    Instruction-Level Steganography for Covert Trigger-Based Malware

    Trigger-based malware is designed to remain dormant and undetected unless a specific trigger occurs. Such behavior occurs in prevalent threats such as backdoors and environment-dependent (targeted) malware. Currently, trigger-based malicious code is often hidden in rarely exercised code paths in benign host binaries, and relies upon a lack of code...

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  • White Papers // Apr 2014

    CubeLoad: A Parametric Generator of Realistic OLAP Workloads

    Differently from OLTP workloads, OLAP workloads are hardly predictable due to their inherently extemporary nature. Besides, obtaining real OLAP workloads by monitoring the queries actually issued in companies and organizations is quite hard. On the other hand, hardware and software benchmarking in the industrial world, as well as comparative evaluation...

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  • White Papers // Apr 2014

    WABRM: A Work-Load Aware Balancing and Resource Management Framework for Swift on Cloud

    Fueled by increasing demand of big data processing, distributed storage systems have been more and more widely used by enterprises. However, in these systems, few storage nodes holding enormous amount of hotspot data could become bottlenecks. This stems from the fact that most typical distributed storage systems mainly provide data...

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  • White Papers // Apr 2014

    An Overview of the Commercial Cloud Monitoring Tools: Research Dimensions, Design Issues, and State-of-the-Art

    Cloud monitoring activity involves dynamically tracking the Quality of Service (QoS) parameters related to virtualized resources (e.g., VM, storage, network, appliances, etc.), the physical resources they share, the applications running on them and data hosted on them. Applications and resources configuration in cloud computing environment is quite challenging considering a...

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  • White Papers // Apr 2014

    Evaluation Methodology for Data Communication-Aware Application Partitioning

    Heterogeneous multicore architectures appear to be a promising solution to the ever-increasing computational demands of applications in embedded as well as high-performance computing domains. Nevertheless, inefficient application partitioning for such systems may result in a considerable reduction in the anticipated performance improvement. Consequently, proper mechanisms are required to evaluate quality...

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  • White Papers // Mar 2014

    Hierarchical Approach to Optimization of Parallel Matrix Multiplication on Large-Scale Platforms

    Many state-of-the-art parallel algorithms, which are widely used in scientific applications executed on high-end computing systems, were designed in the twentieth century with relatively small-scale parallelism in mind. Indeed, while in 1990s a system with few hundred cores was considered a powerful supercomputer; modern top supercomputers have millions of cores....

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  • White Papers // Feb 2014

    Unmixing-Based Content Retrieval System for Remotely Sensed Hyperspectral Imagery on GPUs

    In this paper the authors present a new unmixing-based retrieval system for remotely sensed hyperspectral imagery. The need for this kind of system is justified by the exponential growth in the volume and number of remotely sensed data sets from the surface of the earth. This is particularly the case...

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  • White Papers // Jan 2014

    Measuring Precision of Modeled Behavior

    Conformance checking techniques compare observed behavior (i.e., event logs) with modeled behavior for a variety of reasons. For example, discrepancies between a normative process model and recorded behavior may point to fraud or inefficiencies. The resulting diagnostics can be used for auditing and compliance management. Conformance checking can also be...

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  • White Papers // Jan 2014

    Transactional Support for Adaptive Indexing

    Adaptive indexing initializes and optimizes indexes incrementally, as a side effect of query processing. The goal is to achieve the benefits of indexes while hiding or minimizing the costs of index creation. However, index-optimizing side effects seem to turn read-only queries into update transactions that might, for example, create lock...

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  • White Papers // Jan 2014

    ADLU: A Novel Anomaly Detection and Location-Attribution Algorithm for UWB Wireless Sensor Networks

    Wireless Sensor Networks (WSNs) are gaining more and more interest in the research community due to their unique characteristics. Besides energy consumption considerations, security has emerged as an equally important aspect in their network design. This is because WSNs are vulnerable to various types of attacks and to node compromises,...

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  • White Papers // Jan 2014

    DynTunKey: A Dynamic Distributed Group Key Tunneling Management Protocol for Heterogeneous Wireless Sensor Networks

    Wireless Sensor Networks (WSNs) are being used for many applications ranging from mobile target surveillance to intelligent home networking. Due to the sensitive nature of the data transmitted by these applications, appropriate protection mechanisms are needed to prevent attackers from exploiting the weaknesses of the radio links. In this paper,...

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  • White Papers // Jan 2014

    Big Data: A Survey

    In this paper, the authors review the background and state-of-the-art of big data. They first introduce the general background of big data and review related technologies, such as could computing, Internet of Things, data centers, and Hadoop. They then focus on the four phases of the value chain of big...

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  • White Papers // Jan 2014

    InterCloud RAIDer: A Do-It-Yourself Multi-Cloud Private Data Backup System

    In this paper, the authors introduce InterCloud RAIDer, which realizes a multi-cloud private data backup system by composing a data deduplication technique to reduce the overall storage overhead, erasure coding to achieve redundancy at low overhead, which is dispersed across multiple cloud services to realize fault-tolerance against individual service providers,...

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  • White Papers // Dec 2013

    A Decision Framework for Placement of Applications in Clouds That Minimizes Their Carbon Footprint

    Cloud computing gives users much freedom on where they host their computation and storage. However, the CO2 emission of a job depends on the location and the energy efficiency of the data centers where it is run. The authors developed a decision framework that determines to move computation with accompanying...

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  • White Papers // Dec 2013

    An Improved Task Assignment Scheme for Hadoop Running in the Clouds

    Now-a-days, data-intensive problems are so prevalent that numerous organizations in various industries have to face them in their business operation. It is often crucial for enterprises to have the capability of analyzing large volumes of data in an effective and timely manner. MapReduce and its open-source implementation Hadoop dramatically simplified...

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  • White Papers // Dec 2013

    Data Management in Cloud Environments: NoSQL and NewSQL Data Stores

    Advances in web technology and the proliferation of mobile devices and sensors connected to the Internet have resulted in immense processing and storage requirements. Cloud computing has emerged as a paradigm that promises to meet these requirements. This paper focuses on the storage aspect of cloud computing, specifically on data...

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  • White Papers // Dec 2013

    Service Selection in Web Service Compositions Optimizing Energy Consumption and Service Response Time

    A challenging task in web service composition is the runtime binding of a set of interconnected abstract services to concrete ones. This question, formulated as the service selection problem, has been studied in the area of service compositions implementing business processes. Despite the abundance of work on this topic, few...

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  • White Papers // Dec 2013

    Catching Modern Botnets Using Active Integrated Evidential Reasoning

    Botnets are now recognized as one of the major security threats to start various security attacks (e.g., spamming, DDoS). Although substantial research has been done towards botnet detection, it is becoming much more difficult today, especially for highly polymorphic, intelligent and stealthy modern botnets. Traditional botnet detection (e.g., signature, anomaly...

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  • White Papers // Dec 2013

    Agile Methods for Embedded Systems Development - A Literature Review and a Mapping Study

    There is a wide area of applications that use embedded systems, and the number of such systems keeps growing. The required functionality and complexity of embedded systems are also constantly increasing, and development of such products is becoming increasingly harder. This requires new thinking on the product development processes, and...

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  • White Papers // Nov 2013

    An Elastic Virtual Infrastructure for Research Applications (ELVIRA)

    Cloud computing infrastructures provide a way for researchers to source the computational and storage resources they require to conduct their work and to collaborate within distributed research teams. The authors provide an overview of a cloud-based elastic virtual infrastructure for research applications that they have established to provide researchers with...

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  • White Papers // Nov 2013

    Towards Full Network Virtualization in Horizontal IaaS Federation: Security Issues

    Horizontal IaaS federation exploits datacenter for federation of IaaS provider by supplying virtual nodes (e.g. virtual machines, virtual switches, and virtual routers) and virtual links. Today's datacenters for cloud computing do not supply full network virtualization in terms of user-level network management and user-agreed network topology. The datacenters lack the...

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  • White Papers // Nov 2013

    Efficient and Highly Portable Deterministic Multithreading (DetLock)

    In this paper, the authors present DetLock, a runtime system to ensure deterministic execution of multithreaded programs running on multicore systems. DetLock does not rely on any hardware support or kernel modification to ensure determinism. For tracking the progress of the threads, logical clocks are used. Unlike previous approaches, which...

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  • White Papers // Nov 2013

    Securing Cloud Using Third Party Threaded IDS

    Cloud computing is universal, staying anywhere in the world user can access the cloud applications. Mainly cloud computing will provide services to the users using Internet. Cloud storage services offer user-friendly, easily accessible and money-saving ways of storing and automatically backing up arbitrary data. These services are available on-demand on...

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  • White Papers // Nov 2013

    A Survey on Securing the Virtual Cloud

    In this paper, the authors present a survey and analysis of the current security measures implemented in cloud computing and the hypervisors that support it. The viability of an efficient virtualization layer has led to an explosive growth in the cloud computing industry, exemplified by Amazon's Elastic Cloud, Apple's iCloud,...

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  • White Papers // Nov 2013

    A Routing Framework for Energy Harvesting Wireless Nanosensor Networks in the Terahertz Band

    Wireless NanoSensor Networks (WNSNs) will allow novel intelligent nanomaterial-based sensors, or nanosensors, to detect new types of events at the nanoscale in a distributed fashion over extended areas. Two main characteristics are expected to guide the design of WNSNs architectures and protocols, namely, their Terahertz Band wireless communication and their...

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  • White Papers // Nov 2013

    AppaaS: Offering Mobile Applications as a Cloud Service

    With the huge number of offerings in the mobile application market, the choice of mobile applications that best fit particular objectives is challenging. Therefore, there is a demand for a platform elevating the momentum of mobile applications that can adapt their behavior according to the user's context. This paper proposes...

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  • White Papers // Nov 2013

    Efficient Parallel Spectral Clustering Algorithm Design for Large Data Sets Under Cloud Computing Environment

    Spectral clustering algorithm has proved be more effective than most traditional algorithms in finding clusters. However, its high computational complexity limits its effect in actual application. This paper combines the spectral clustering with MapReduce, through evaluation of sparse matrix Eigen-value and computation of distributed cluster, puts forward the improvement ideas...

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  • White Papers // Oct 2013

    Analytic Performance Modeling and Optimization of Live VM Migration

    Cloud computing is based on largely distributed virtual environments that provide Infrastructure-as-a-Service (IaaS) services to consumers allowing them to lease computing resources that scale to their needs. These services rely on virtualization as an important technology that facilitates dynamic resource management to meet Service Level Agreements (SLA) of disparate applications...

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  • White Papers // Oct 2013

    Linearly Homomorphic Structure-Preserving Signatures and their Applications

    Structure-Preserving Signatures (SPS) are signature schemes where messages, signatures and public keys all consist of elements of a group over which a bilinear map is efficiently computable. This property makes them useful in cryptographic protocols as they nicely compose with other algebraic tools (like the celebrated groth-sahai proof systems). In...

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  • White Papers // Oct 2013

    Efficient Cryptosystems from 2k-th Power Residue Symbols

    In this paper, the authors introduced a new generalization of the cryptosystem. The so-obtained cryptosystems are shown to be secure under the quadratic residuosity assumption. Further, they enjoy a number of useful features including fast decryption, optimal ciphertext expansion, and homomorphic property. The authors believe that their proposal is the...

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  • White Papers // Oct 2013

    An Agents and Artifacts Approach to Distributed Data Mining

    In this paper the authors propose a novel Distributed Data Mining (DDM) approach based on the agents and artifacts paradigm, as implemented in CArtAgO, where artifacts encapsulate data mining tools, inherited from Weka, that agents can use while engaged in collaborative, distributed learning processes. Target hypothesis are currently constrained to...

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  • White Papers // Oct 2013

    A Scalable Scheme for Privacy-Preserving Aggregation of Time-Series Data

    Suppose that a set of multiple users uploads in every time period encrypted values of some data. The considered problem is how an untrusted data aggregator can compute the sum of all users' values but nothing more. However, as advocated by the authors, the proposed encryption scheme suffers from some...

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  • White Papers // Sep 2013

    Differentially Private Set-Valued Data Release Against Incremental Updates

    Publication of the private set-valued data will provide enormous opportunities for counting queries and various data mining tasks. Compared to those previous methods based on partition-based privacy models (e.g., k-anonymity), differential privacy provides strong privacy guarantees against adversaries with arbitrary background knowledge. However, the existing solutions based on differential privacy...

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  • White Papers // Sep 2013

    Repairing Event Logs Using Timed Process Models

    Process mining aims to infer meaningful insights from process-related data and attracted the attention of practitioners, tool-vendors, and researchers in recent years. Traditionally, event logs are assumed to describe the as-is situation. But this is not necessarily the case in environments where logging may be compromised due to manual logging....

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  • White Papers // Jun 2007

    A Novel Algorithm of Optimal Matrix Partitioning for Parallel Dense Factorization on Heterogeneous Processors

    In this paper the authors present a novel algorithm of optimal matrix partitioning for parallel dense matrix factorization on heterogeneous processors based on their constant performance model. In this paper, they present a novel algorithm of optimal matrix partitioning for parallel dense matrix factorization on heterogeneous processors based on their...

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  • White Papers // Mar 2007

    Using FORAY Models to Enable MPSoC Memory Optimizations

    With the technology advances it becomes feasible to implement a large multiprocessor system on a single chip. In such System-on-Chips (SoCs), a significant portion of energy is spent in the memory subsystem. There are several approaches reducing this energy, including the ones at physical, architecture and algorithmic levels. Classical approaches,...

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  • White Papers // Jan 2014

    Transactional Support for Adaptive Indexing

    Adaptive indexing initializes and optimizes indexes incrementally, as a side effect of query processing. The goal is to achieve the benefits of indexes while hiding or minimizing the costs of index creation. However, index-optimizing side effects seem to turn read-only queries into update transactions that might, for example, create lock...

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  • White Papers // Jan 2009

    On GPU~s Viability as a Middleware Accelerator

    Today Graphics Processing Units (GPUs) are a largely underexploited resource on existing desktops and a possible cost-effective enhancement to high-performance systems. To date, most applications that exploit GPUs are specialized scientific applications. Little attention has been paid to harnessing these highly-parallel devices to support more generic functionality at the operating...

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  • White Papers // Nov 2012

    Modeling Energy-Aware Cloud Federations With SRNs

    Cloud computing is a challenging technology that promises to strongly modify the way computing and storage resources will be accessed in the near future. However, it may demand huge amount of energy if adequate management policies are not put in place. In particular, in the context of Infrastructure-as-a-Service (IaaS) cloud,...

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  • White Papers // Oct 2010

    Scatter-Gather-Merge: An Efficient Star-Join Query Processing Algorithm for Data-Parallel Frameworks

    A data-parallel framework is very attractive for large-scale data processing since it enables such an application to easily process a huge amount of data on commodity machines. MapReduce, a popular data-parallel framework, is used in various fields such as web search, data mining and data warehouses; it is proven to...

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  • White Papers // Apr 2007

    Handling Control Data Flow Graphs for a Tightly Coupled Reconfigurable Accelerator

    In an embedded system including a base processor integrated with a tightly coupled accelerator, extracting frequently executed portions of the code (hot portion) and executing their corresponding Data Flow Graph (DFG) on the accelerator brings about more speedup. In this paper, the authors intend to present their motivations for handling...

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  • White Papers // Jul 2006

    An Integrated Temporal Partitiaoning and Mapping Framework for Handling Custom Instructions on a Reconfigurable Functional Unit

    Extensible processors allow customization for an application by extending the core instruction set architecture. Extracting appropriate custom instructions is an important phase for implementing an application on an extensible processor with a reconfigurable functional unit. Custom instructions (CIs) usually are extracted from critical portions of applications. This paper presents approaches...

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  • White Papers // Sep 2008

    Design Trade-Offs in Customized On-Chip Crossbar Schedulers

    In this paper, the authors present a design and an analysis of customized crossbar schedulers for reconfigurable on-chip crossbar networks. In order to alleviate the scalability problem in a conventional crossbar network, they propose adaptive schedulers on customized crossbar ports. Specifically, they present a scheduler with a weighted round robin...

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  • White Papers // Oct 2008

    A High-level Microprocessor Power Modeling Technique Based on Event Signatures

    In this paper, the authors present a technique for high-level power estimation of microprocessors. The technique, which is based on abstract execution profiles called 'Event signatures', operates at a higher level of abstraction than commonly-used Instruction-Set Simulator (ISS) based power estimation methods and should thus be capable of achieving good...

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  • White Papers // May 2007

    Calibration of Abstract Performance Models for System-Level Design Space Exploration

    High-level performance modeling and simulation have become a key ingredient of system-level design as they facilitate early architectural design space exploration. An important precondition for such high-level modeling and simulation methods is that they should yield trustworthy performance estimations. This requires validation (if possible) and calibration of the simulation models,...

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  • White Papers // Aug 2006

    Static Priority Scheduling of Event-Triggered Real-Time Embedded Systems

    Real-time embedded systems are often specified as a collection of independent tasks, each generating a sequence of event-triggered code blocks. The goal of scheduling tasks in this domain is to find an execution order which satisfies all real-time constraints. Within the context of recurring real-time tasks, all previous work either...

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  • White Papers // May 2008

    System-Level Design Space Exploration of Dynamic Reconfigurable Architectures

    One of the major challenges of designing heterogeneous reconfigurable systems is to obtain the maximum system performance with efficient utilization of the reconfigurable logic resources. To accomplish this, it is essential to perform Design Space Exploration (DSE) at the early design stages. System-level simulation is used to estimate the performance...

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  • White Papers // Nov 2011

    Distributed Data Clustering in Sensor Networks

    Low overhead analysis of large distributed data sets is necessary for current data centers and for future sensor networks. In such systems, each node holds some data value, e.g., a local sensor read, and a concise picture of the global system state needs to be obtained. In resource-constrained environments like...

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  • White Papers // Jul 2006

    Energy-Delay Space Analysis for Clocked Storage Elements Under Process Variations

    In this paper, the authors present the effect of process variations on the design of clocked storage elements. This paper proposes to use the Energy-Delay (ED) space analysis for a true representation of the design trade-offs. Consequently, this work also shows a comparison of clocked storage elements under a specific...

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  • White Papers // Jan 2014

    Big Data: A Survey

    In this paper, the authors review the background and state-of-the-art of big data. They first introduce the general background of big data and review related technologies, such as could computing, Internet of Things, data centers, and Hadoop. They then focus on the four phases of the value chain of big...

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  • White Papers // Apr 2011

    A Scalable Multiprocessor Architecture for Pervasive Computing

    In this paper, the authors have implemented a system for a JPEG encoding application. The previous system uses static deployment of computing resources, which limits computation capability. To address this limitation, this paper proposes a novel scalable architecture that allows extending a system by adding new subsystems, to meet increasing...

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  • White Papers // Oct 2010

    Dynamic Proportional Share Scheduling in Hadoop

    The authors present the Dynamic Priority (DP) parallel task scheduler for Hadoop. It allows users to control their allocated capacity by adjusting their spending over time. This simple mechanism allows the scheduler to make more efficient decisions about which jobs and users to prioritize and gives users the tool to...

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  • White Papers // Apr 2012

    Juggle: Addressing Extrinsic Load Imbalances in SPMD Applications on Multicore Computers

    The authors investigate proactive dynamic load balancing on multicore systems, in which threads are continually migrated to reduce the impact of processor/thread mismatches. Their goal is to enhance the flexibility of the SPMD-style programming model and enable SPMD applications to run efficiently in multi-programmed environments. They present Juggle, a practical...

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  • White Papers // Apr 2012

    A Case for Virtual Machine Based Fault Injection in a High-Performance Computing Environment

    Large-scale computing platforms provide tremendous capabilities for scientific discovery. As applications and system software scale up to multi-petaflops and beyond to exascale platforms, the occurrence of failure will be much more common. This has given rise to a push in fault-tolerance and resilience research for High-Performance Computing (HPC) systems. This...

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  • White Papers // Jul 2012

    Addressing GPU On-Chip Shared Memory Bank Conflicts Using Elastic Pipeline

    One of the major problems with the GPU on-chip shared memory is bank conflicts. The authors analyze that the throughput of the GPU processor core is often constrained neither by the shared memory bandwidth, nor by the shared memory latency (as long as it stays constant), but is rather due...

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  • White Papers // Apr 2014

    Evaluation Methodology for Data Communication-Aware Application Partitioning

    Heterogeneous multicore architectures appear to be a promising solution to the ever-increasing computational demands of applications in embedded as well as high-performance computing domains. Nevertheless, inefficient application partitioning for such systems may result in a considerable reduction in the anticipated performance improvement. Consequently, proper mechanisms are required to evaluate quality...

    Provided By Springer Healthcare

  • White Papers // Oct 2013

    An Agents and Artifacts Approach to Distributed Data Mining

    In this paper the authors propose a novel Distributed Data Mining (DDM) approach based on the agents and artifacts paradigm, as implemented in CArtAgO, where artifacts encapsulate data mining tools, inherited from Weka, that agents can use while engaged in collaborative, distributed learning processes. Target hypothesis are currently constrained to...

    Provided By Springer Healthcare

  • White Papers // Jan 2010

    Energy Optimization of a Multi-Bank Main Memory

    A growing part of the energy, battery-driven embedded system, is consumed by the off-chip main memory. In order to minimize this memory consumption, an architectural solution is recently adopted. It consists of multi-banking the addressing space instead of monolithic memory. The main advantage in this approach is the capability of...

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  • White Papers // Jan 2010

    Domain-Specific Modeling of Power Aware Distributed Real-Time Embedded Systems

    In this paper, the authors provide two contributions to the research on applying domain-specific modeling languages to Distributed Real-time Embedded (DRE) systems. First, they present the ALDERIS platform-independent visual language for component-based system development. Second, they demonstrate the use of the ALDERIS language on a helicopter autopilot DRE design. The...

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  • White Papers // Jan 2010

    A Flash File System to Support Fast Mounting for NAND Flash Memory Based Embedded Systems

    In embedded systems, NAND flash memory is typically used as a storage medium because of its non-volatility, fast access time and solid-state shock resistance. However, it suffers from out-place-update, limited erase cycles and page based read/write operations. Flash file systems such as JFFS2 and YAFFS, allocate memory spaces using LFS...

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  • White Papers // Aug 2007

    Performance Evaluation of Memory Management Configurations in Linux for an OS-Level Design Space Exploration

    In this paper, the authors analyze how the memory management configuration in Linux influences run-time performance of embedded systems. Extensive experiments confirm that the configuration of the memory management subsystem significantly affects the overall execution time, the memory performance, and the system call overhead. Their quantitative experimental results will help...

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  • White Papers // Aug 2007

    Model and Validation of Block Cleaning Cost for Flash Memory

    Flash memory is a storage medium that is becoming more and more popular. Though not yet fully embraced in traditional computing systems, Flash memory is prevalent in embedded systems, materialized as commodity appliances such as the digital camera and the MP3 player that the users' are enjoying in their everyday...

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  • White Papers // Jul 2008

    Application Server for Wireless Sensor Networks

    Wireless Sensor Networks (WSN) can be used in various applications for home and industrial environments. The main challenges in these applications come from the requirement of collecting and presenting continuously changing sensor data. Powerful abstractions are required in order to support diverse WSN configurations and the varying user requirements for...

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  • White Papers // Jan 2010

    A UML Profile for Asynchronous Hardware Design

    In this paper, the authors present UML for Hardware Design (UML-HD), a UML profile suitable for Asynchronous Hardware Design and an approach for automatically generating a Hardware Description Language (HDL) model from UML-HD models. A UML-HD model comprises solely class diagrams and an action language. They use stereotypes in two...

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  • White Papers // Jul 2008

    Memory-Centric Hardware Synthesis from Dataflow Models

    Generation of hardware architectures directly from dataflow representations is increasingly being considered as research moves toward system level design methodologies. Creation of networks of IP cores to implement actor functionality is a common approach to the problem, but often the memory sub-systems produced using these techniques are inefficiently utilized. This...

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  • White Papers // Jan 2010

    Hardware-Based IP Lookup Using N-Way Set Associative Memory and LPM Comparator

    IP lookup process becomes the bottleneck of packet transmission as IP traffic increases. Hardware-based IP lookup is desirable for high-speed router. However, the IP lookup schemes using an index-based table are not efficient due to heavy prefix expansion. In this paper, efficient hardware-based IP lookup schemes using n-way set associative...

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  • White Papers // Aug 2007

    A Study of Energy Saving in Customizable Processors

    Embedded systems are special purpose systems which perform predefined tasks with very specific requirements like high performance, low volume or low power. Most of the time, using a general purpose processor for such systems results in a design which is poor to meet the application specific requirement. On the other...

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  • White Papers // Aug 2007

    On-Chip Bus Modeling for Power and Performance Estimation

    In this paper, the authors present a latency and power model to determine the bus configuration of a target SoC system at its early design stage. The latency model analyzed the latencies of an on-chip bus and provided throughput reflecting the bus configuration. The power model provided power estimation based...

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  • White Papers // Sep 2009

    Hierarchical Dependency Graphs: Abstraction and Methodology for Mapping Systolic Array Designs to Multicore Processors

    Systolic array designs and dependency graphs are some of the most important class of algorithms in several scientific computing areas. In this paper, the authors propose an abstraction based on the fundamental principles behind designing systolic arrays. Then, based on the abstraction, they propose a methodology to map a dependency...

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  • White Papers // Mar 2009

    Adaptive Workload Allocation in Query Processing in Autonomous Heterogeneous Environments

    The increasing prevalence of networked storage and computational resources, along with middleware for managing resource access and sharing, raises the prospect that queries can be run over resources obtained on demand, rather than on dedicated infrastructures. However, the movement of query processing into non-dedicated environments means that it is necessary...

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  • White Papers // Nov 2008

    MCUDA: An Efficient Implementation of CUDA Kernels for Multi-core CPUs

    CUDA is a data parallel programming model that supports several key abstractions - thread blocks, hierarchical memory and barrier synchronization - for writing applications. This model has proven effective in programming GPUs. In this paper, the authors describe a framework called MCUDA, which allows CUDA programs to be executed efficiently...

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  • White Papers // Jun 2014

    Dual-Access Way-Prediction Cache for Embedded Systems

    Way-Prediction (WP) caches have advantages of reducing power consumption and latency for highly associative data caches and thus are favorable for embedded systems. In this paper, the authors propose an enhanced way-prediction cache, Dual-Access Way-Prediction (DAWP) cache, to cope with the weakness of the WP cache. The prediction logic designed...

    Provided By Springer Healthcare

  • White Papers // Dec 2013

    Agile Methods for Embedded Systems Development - A Literature Review and a Mapping Study

    There is a wide area of applications that use embedded systems, and the number of such systems keeps growing. The required functionality and complexity of embedded systems are also constantly increasing, and development of such products is becoming increasingly harder. This requires new thinking on the product development processes, and...

    Provided By Springer Healthcare

  • White Papers // Aug 2013

    A UHF/UWB Hybrid Silicon RFID Tag With on - Chip Antennas

    In this paper, the authors describe and analyze a miniature wireless Radio Frequency IDentification (RFID) chip with On-Chip Antennas (OCA) and Ultra WideBand (UWB) signaling by real-world measurements. With the on-chip antenna approach, no external antennas are required, and the size of the overall tag is identical to the size...

    Provided By Springer Healthcare