Springer Healthcare

Displaying 1-40 of 704 results

  • 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

    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...

    Provided By Springer Healthcare

  • 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 // 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...

    Provided By Springer Healthcare

  • 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...

    Provided By Springer Healthcare

  • 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...

    Provided By Springer Healthcare

  • 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

    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

    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

    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

    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

    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

    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

    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

    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

    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

    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

    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 // Sep 2013

    Evaluating the Manageability of Web Browsers Controls

    The proliferation of Smartphone's has introduced new challenges in web browsing security. These devices often have limited resources and small size, which may limit the security 'Arsenal' of their user. This, however, does not seem to deter Smartphone users from accessing the Web via their devices. On the same time,...

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  • White Papers // Sep 2013

    Access-Load-Aware Dynamic Data Balancing for Cloud Storage Service

    Cloud storage is the typical way for storing massive data in big data era. Dynamic data balancing is important for cloud storage since it aims to improve the utilization of computing resource and the performance of data process. However, storage-load-aware data balancing, adopted by almost all existing cloud storage services...

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  • White Papers // Sep 2013

    Federated Authorization for Software-as-a-Service Applications

    Software-as-a-Service (SaaS) is a type of cloud computing in which a tenant rents access to a shared, typically web-based application hosted by a provider. Access control for SaaS should enable the tenant to control access to data that are located at the provider based on tenant-specific access control policies. To...

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  • 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...

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  • White Papers // Aug 2013

    Formal Analysis of Memory Contention in a Multiprocessor System

    Multi-core processors along with multi-module memories are extensively being used in high performance computers these days. One of the main performance evaluation metrics in such configurations is the memory contention problem and its effect on the overall memory access time. Usually, this problem is analyzed using simulation or numerical methods....

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  • White Papers // May 2007

    A Linear Complexity Algorithm for the Generation of Multiple Input Single Output Instructions of Variable Size

    The instruction-set extension problem has been one of the major topics in the last years and it is the addition of a set of new complex instructions to a given instruction-set. This problem in its general formulation requires an exhaustive search of the design space to identify the candidate instructions....

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  • White Papers // Jan 2007

    Partially Reconfigurable Point-to-Point Interconnects in Virtex-II Pro FPGAs

    In modern on-chip multi-core systems, the communication latency of the network interconnects is increasingly becoming a significant factor hampering performance. Consequently, Network-on-Chips (NoCs) as a design paradigm has been introduced to deal with such latencies and related issues. At the same time, NoCs provide improved scalability and an increased modularity....

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  • White Papers // Mar 2008

    Leakage-Aware Multiprocessor Scheduling

    When peak performance is unnecessary, Dynamic Voltage Scaling (DVS) can be used to reduce the dynamic power consumption of embedded multiprocessors. In future technologies, however, static power consumption due to leakage current is expected to increase significantly. Then it will be more effective to limit the number of processors employed...

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  • White Papers // Feb 2008

    The Instruction-Set Extension Problem: A Survey

    Over the last years, the authors have witnessed the increased use of Application-Specific Instruction-Set Processors (ASIPs). These ASIPs are processors that have a customizable instruction-set, which can be tuned towards specific requirements. The identification, definition and implementation of those operations that provide the largest performance improvement and that should be...

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  • White Papers // Nov 2007

    Architecture Enhancements for the ADRES Coarse-Grained Reconfigurable Array

    Reconfigurable architectures provide power efficiency, flexibility and high performance for next generation embedded multimedia devices. ADRES, the IMEC Coarse-Grained Reconfigurable Array architecture and its compiler DRESC enable the design of reconfigurable 2D array processors with arbitrary functional units, register file organizations and interconnection topologies. This creates an enormous design space...

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  • White Papers // Feb 2008

    A Framework for the Automatic Generation of Instruction-Set Extensions for Reconfigurable Architectures

    In the past decade, the authors have witnessed a general shifting from the use of general purpose computing systems to systems able to perform only a limited number of tasks but more efficiently. In this paper, they present a framework for the automatic identification and selection of convex MIMO instruction-set...

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  • White Papers // Mar 2009

    Online Task Scheduling for the FPGA-Based Partially Reconfigurable Systems

    Given the FPGA-based partially reconfigurable systems, hardware tasks can be configured into (or removed from) the FPGA fabric without interfering with other tasks running on the same device. In such systems, the efficiency of task scheduling algorithms directly impacts the overall system performance. By using previously proposed 2D scheduling model,...

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  • White Papers // May 2010

    Collaboration of Reconfigurable Processors in Grid Computing for Multimedia Kernels

    Multimedia applications are multi-standard, multi-format, and compute-intensive. These features in addition to a large set of input and output data lead to that some architectures such as application specific integrated circuits and general-purpose processors are less suitable to process multimedia applications. Therefore, reconfigurable processors are considered as an alternative approach...

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  • White Papers // Mar 2010

    QUAD - A Memory Access Pattern Analyser

    In this paper, the authors present the Quantitative Usage Analysis of Data (QUAD) tool, a sophisticated memory access tracing tool that provides a comprehensive quantitative analysis of memory access patterns of an application with the primary goal of detecting actual data dependencies at function-level. As improvements in processing performance continue...

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  • White Papers // Jun 2010

    A Modified Merging Approach for Datapath Configuration Time Reduction

    In this paper the authors represent a modified datapath merging technique to amortize the configuration latency of mapping datapaths on reconfigurable fabric in Run-Time Reconfigurable Systems (RTR). This method embeds together the different Data Flow Graphs (DFGs), corresponding to the loop kernels to create a single datapath (merged datapath) instead...

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  • White Papers // Aug 2006

    Providing a Formal Linkage Between MDG and HOL

    The authors describe an approach for formally verifying the linkage between a symbolic state enumeration system and a theorem proving system. This involves the following three stages of proof. Firstly, they prove theorems about the correctness of the translation part of the symbolic state system. It interfaces between low level...

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  • White Papers // Aug 2013

    Formal Analysis of Memory Contention in a Multiprocessor System

    Multi-core processors along with multi-module memories are extensively being used in high performance computers these days. One of the main performance evaluation metrics in such configurations is the memory contention problem and its effect on the overall memory access time. Usually, this problem is analyzed using simulation or numerical methods....

    Provided By Springer Healthcare

  • White Papers // Apr 2007

    Formal Verification of Analog and Mixed Signal Designs in Mathematica

    With the latest advancement of semiconductors technology, the integration of the digital, Analog and Mixed-Signal (AMS) designs into a single chip was possible and led into the development of System-on-Chip (SoC) designs. One of the main challenges of SoC designs is the verification of AMS components, which interface digital and...

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  • White Papers // May 2007

    Verification of Probabilistic Properties in HOL Using the Cumulative Distribution Function

    Traditionally, computer simulation techniques are used to perform probabilistic analysis. However, they provide inaccurate results and cannot handle large-scale problems due to their enormous CPU time requirements. To overcome these limitations, the authors propose to complement simulation based tools with higher-order-logic theorem proving so that an integrated approach can provide...

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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 // 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 // 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 // Apr 2013

    TCP Window Based DVFS for Low Power Network Controller SoC

    The decision to enable a network controller to operate at a high performance mode, at the cost of high power, should not rely solely on the amount of data that needs to be transmitted, but also on the ability of the network to deliver it. This paper presents a power...

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  • White Papers // Sep 2012

    Real-time implementation of remotely sensed hyperspectral image unmixing on GPUs

    Spectral unmixing is one of the most popular techniques to analyze remotely sensed hyperspectral images. It generally comprises three stages: reduction of the dimensionality of the original image to a proper subspace; automatic identification of pure spectral signatures (called end members); and estimation of the fractional abundance of each end...

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  • White Papers // Oct 2012

    Fast Determination of the Number of Endmembers for Real-Time Hyperspectral Unmixing on GPUs

    Spectral unmixing is a very important task for remotely sensed hyperspectral data exploitation. It amounts at identifying a set of spectrally pure components (called endmembers) and their associated per-pixel coverage fractions (called abundances). A challenging problem in spectral unmixing is how to determine the number of endmembers in a given...

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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...

    Provided By Springer Healthcare

  • White Papers // Nov 2009

    Automatic Tuning of Iterative Computation on Heterogeneous Multiprocessors With ADITHE

    In this paper the authors study the problem of balancing the workload of iterative algorithms on heterogeneous multiprocessors. An approach, called ADITHE, is proposed and evaluated. Its main features are: using a homogeneous distribution of the workload on the heterogeneous system, the speed of every node is estimated during the...

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  • White Papers // Jun 2012

    Growing Half-Balls: Minimizing Storage and Communication Costs in CDNs

    The dynamic content distribution problem addresses the trade-off between storage and delivery costs in modern virtual Content Delivery Networks (CDNs). That is, a video file can be stored in multiple places so that the request of each user is served from a location that is nearby to the user. This...

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  • White Papers // Nov 2009

    Run-Time Spatial Mapping of Streaming Applications to Heterogeneous Multi-Processor Systems

    In this paper, the authors define the problem of spatial mapping. They present reasons why performing spatial mappings at run-time is both necessary and desirable. They propose what is - to their knowledge - the first attempt at a formal description of spatial mappings for the embedded real-time streaming application...

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  • White Papers // Sep 2011

    Worst-Case Temperature Analysis for Different Resource Availabilities: A Case Study

    With three-dimensional chip integration, the heat dissipation per unit area increases rapidly and may result in high on-chip temperatures. Real-time constraints cannot be guaranteed anymore as exceeding a certain threshold temperature can immediately reduce the systems reliability and performance. Dynamic thermal management methods are promising methods to prevent the system...

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  • White Papers // May 2013

    Fast Multi-Fields Query Processing in Bigtable Based Cloud Systems

    With the rapid increase of data sizes, enterprise applications are migrating their backend data management and analytic systems into cloud based data management systems. Bigtable is among one of the major data models used by cloud storage systems as their storage layer. Such systems provide high scalability and schema flexibility,...

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  • White Papers // May 2013

    ST-HBase: A Scalable Data Management System for Massive Geo-Tagged Objects

    In this paper, the authors propose ST-HBase (Spatio-Textual HBase) that can deal with large scale geo-tagged objects. ST-HBase can support high insert throughput while providing efficient spatial keyword queries. To the best of their knowledge, the existing approaches that deal with spatial keyword queries mainly focus on the static and...

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  • White Papers // May 2013

    Scan and Join Optimization by Exploiting Internal Parallelism of Flash-Based Solid State Drives

    Now-a-days, flash-based Solid State Drives (SSDs) are gradually replacing Hard Disk Drives (HDDs) as the primary non-volatile storage in both desktop and enterprise applications because of their potential to speed up performance and reduce power consumption. However, database query processing engines are designed based on the fundamental characteristics of HDDs,...

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  • White Papers // May 2013

    MixSL: An Efficient Transaction Recovery Model in Flash-Based DBMS

    With the development of flash technologies, flash disks have become an alternative to hard disk as external storage media. Because of the unique characteristics of flash disks such as fast random read access and out-place update, shadow paging technology can be adopted to support transaction recovery in flash-based DBMS. Inspired...

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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...

    Provided By Springer Healthcare

  • White Papers // May 2013

    Efficient Query Processing for XML Keyword Queries Based on the IDList Index

    Keyword search over XML data has attracted a lot of research efforts in the last decade, where one of the fundamental research problems is how to efficiently answer a given keyword query w.r.t. a certain query semantics. The authors found that the key factor resulting in the inefficiency for existing...

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  • White Papers // Mar 2012

    Halt or Continue: Estimating Progress of Queries in the Cloud

    With cloud-based data management gaining more ground by day, the problem of estimating the progress of MapReduce queries in the cloud is of paramount importance. This problem is challenging to solve for two reasons: cloud is typically a large-scale heterogeneous environment, which requires progress estimation to tailor to non-uniform hardware...

    Provided By Springer Healthcare

  • White Papers // Aug 2012

    Optimization of Decentralized Multi-Way Join Queries Over Pipelined Filtering Services

    The capability to optimize and execute complex queries over multiple remote services (e.g., web services) is of high significance for efficient data management in large scale distributed computing infrastructures, such as those enabled by grid and cloud computing technology. In this paper, the authors investigate the optimization of queries that...

    Provided By Springer Healthcare

  • 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...

    Provided By Springer Healthcare

  • White Papers // Sep 2013

    Access-Load-Aware Dynamic Data Balancing for Cloud Storage Service

    Cloud storage is the typical way for storing massive data in big data era. Dynamic data balancing is important for cloud storage since it aims to improve the utilization of computing resource and the performance of data process. However, storage-load-aware data balancing, adopted by almost all existing cloud storage services...

    Provided By Springer Healthcare

  • White Papers // Jul 2009

    Exploiting the Cell/BE Architecture with the StarPU Unified Runtime System

    Multicore architectures are now widely adopted. Desktop personal computers and even laptops typically contain a multicore CPU and a powerful graphic card. The multicore cell processor is used both in the PlayStation 3 gaming console as well as the Roadrunner supercomputer. Core specialization is currently one of the most promising...

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  • White Papers // Aug 2007

    Improving TriMedia Cache Performance by Profile Guided Code Reordering

    There is an ever-increasing gap between memory and processor performance. As a result, exploiting the cache becomes increasingly important, especially for embedded systems where cache sizes are much smaller than that of general purpose processors. The fine-tuning of an application with respect to cache behavior is now largely dependent on...

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  • White Papers // Jul 2009

    Towards Automated FSMD Partitioning for Low Power Using Simulated Annealing

    The authors focus on the class of sequential circuits characterized by a FSMD (Finite State Machine with Datapath) representation. Partitioning is one technique used to facilitate logic isolation in FSMD circuits. They propose a technique to efficiently partition a FSMD (Finite State Machine with Datapath) using a simulated annealing approach....

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