Springer Healthcare

Displaying 1-40 of 702 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...

    Provided By Springer Healthcare

  • 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...

    Provided By Springer Healthcare

  • 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...

    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...

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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...

    Provided By Springer Healthcare

  • 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...

    Provided By Springer Healthcare

  • 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...

    Provided By Springer Healthcare

  • 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

    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 // Jul 2012

    Sprint Planning Optimization in Agile Data Warehouse Design

    Agile methods have been increasingly adopted to make data warehouse design faster and nimbler. They divide a data warehouse project into sprints (iterations), and include a sprint planning phase that is critical to ensure the project success. Several factors impact on the optimality of a sprint plan, e.g., the estimated...

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  • White Papers // Jul 2011

    Modern Software Engineering Methodologies Meet Data Warehouse Design: 4WD

    Data warehouse systems are characterized by a long and expensive development process that hardly meets the ambitious requirements of today's market. This suggests that some further investigation on the methodological issues related to data warehouse design is necessary, aimed at improving the development process from different points of view. In...

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  • White Papers // Jul 2010

    New Frontiers in Business Intelligence: Distribution and Personalization

    To meet the new, more sophisticated needs of decision makers, a new generation of Business Intelligence (BI) systems is emerging. In this paper, the authors focus on two enabling technologies for this new generation, namely distribution and personalization. In particular, to support complex business scenarios where multiple partner companies cooperate...

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  • White Papers // Aug 2010

    A Model-Driven Heuristic Approach for Detecting Multidimensional Facts in Relational Data Sources

    Facts are multidimensional concepts of primary interests for knowledge workers because they are related to events occurring dynamically in an organization. Normally, these concepts are modeled in operational data sources as tables. Thus, one of the main steps in conceptual design of a data warehouse is to detect the tables...

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  • White Papers // Jun 2009

    Visual Modelling of Data Warehousing Flows with UML Profiles

    Data warehousing involves complex processes that transform source data through several stages to deliver suitable information ready to be analyzed. Though many techniques for visual modeling of data warehouses from the static point of view have been devised, only few attempts have been made to model the data flows involved...

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  • White Papers // Apr 2009

    Expressing OLAP Preferences

    Multidimensional databases play a relevant role in statistical and scientific applications, as well as in business intelligence systems. Their users express complex OLAP queries, often returning huge volumes of facts, sometimes providing little or no information. Thus, expressing preferences could be highly valuable in this domain. The OLAP domain is...

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  • White Papers // Aug 2008

    UML-Based Modeling for What-If Analysis

    In order to be able to evaluate beforehand the impact of a strategical or tactical move, decision makers need reliable previsional systems. What-if analysis satisfies this need by enabling users to simulate and inspect the behavior of a complex system under some given hypotheses. A crucial issue in the design...

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  • White Papers // Jan 2010

    Dynamic View Selection for OLAP

    Due to the increasing size of data warehouses it is often infeasible to materialize all possible aggregate views for On-Line Analytical Processing (OLAP). View selection, the task of selecting a subset of views to materialize based on knowledge of the incoming queries and updates, is an important and challenging problem....

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  • White Papers // Oct 2007

    An Outlook on Semantic Business Process Mining and Monitoring

    Semantic Business Process Management (SBPM) has been proposed as an extension of BPM with Semantic Web and Semantic Web Services (SWS) technologies in order to increase and enhance the level of automation that can be achieved within the BPM life-cycle. In a nutshell, SBPM is based on the extensive and...

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  • White Papers // Mar 2012

    An Operational Decision Support Framework for Monitoring Business Constraints

    Only recently, process mining techniques emerged that can be used for Operational decision Support (OS), i.e., knowledge extracted from event logs is used to handle running process instances better. In the process mining tool ProM, a generic OS service has been developed that allows ProM to dynamically interact with an...

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  • White Papers // May 2012

    Runtime Verification of LTL-Based Declarative Process Models

    Linear Temporal Logic (LTL) on finite traces has proven to be a good basis for the analysis and enactment of flexible constraint based business processes. The declare language and system benefit from this basis. Moreover, LTL-based languages like declare can also be used for runtime verification. As there are often...

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  • White Papers // Jul 2012

    Context-Aware Compliance Checking

    Organizations face more and more the burden to show that their business is compliant with respect to many different boundaries. The activity of compliance checking is commonly referred to as auditing. As information systems supporting the organization's business record their usage, process mining techniques such as conformance checking offer the...

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  • White Papers // Aug 2012

    Performance Modeling and Analysis of a Database Server with Write-Heavy Workload

    Resource-optimization of the infrastructure for service oriented applications require accurate performance models. In this paper, the authors investigate the performance dynamics of a MySQL/InnoDB database server with write-heavy workload. The main objective of their investigation was to understand the system dynamics due to the buffering of disk operations that occurs...

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  • White Papers // Apr 2013

    Test Program Generation for a Microprocessor

    Certifications of critical security or safety system properties are becoming increasingly important for a wide range of products. Certifying large systems like operating systems up to common criteria EAL 4 is common practice today, and higher certification levels are at the brink of becoming reality. To reach EAL 7 one...

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  • White Papers // Mar 2009

    Extensible Universes for Object-oriented Data Models

    The authors present a datatype package that enables the shallow embedding technique to object-oriented specification and programming languages. This datatype package incrementally compiles an object-oriented data model to a theory containing object-universes, constructors, accessor's functions, coercions between dynamic and static types, characteristic sets, their relations reflecting inheritance, and the necessary...

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  • White Papers // Feb 2006

    Understanding the Term Reference Model in Information Systems Research: History, Literature Analysis and Explanation

    The heart of every scientific discipline is its own unique, uniform and acknowledged terminology. As an application-oriented mediator between business administration and computer science, information systems research in particular is in need of a theoretical foundation and an instrument capable of translating basic theoretical knowledge into practical applications. Its dependency...

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  • White Papers // Aug 2009

    A Collaboration and Productiveness Analysis of the BPM Community

    The main scientific event for academics working in the field of business process management is the international BPM conference. In this paper, social network analysis techniques are used to unveil the co-authorship networks that can be derived from the papers presented at this conference. Links between two researchers are established...

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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...

    Provided By Springer Healthcare

  • 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...

    Provided By Springer Healthcare

  • White Papers // Feb 2011

    Trace Alignment in Process Mining: Opportunities for Process Diagnostics

    Process mining techniques attempt to extract non-trivial knowledge and interesting insights from event logs. Process mining provides a welcome extension of the repertoire of business process analysis techniques and has been adopted in various commercial BPM systems (BPM one, Futura reflect, ARIS PPM, Fujitsu, etc.). Unfortunately, traditional process discovery algorithms...

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  • White Papers // Aug 2009

    Enhancing a Dependable Multiserver Operating System With Temporal Protection Via Resource Reservations

    Now-a-days, microkernel-based systems are getting studied and adopted with a renewed interest in a wide number of IT scenarios. Their advantages over classical monolithic solutions mainly concern the dependability domain. By being capable of dynamically detect and solve non-expected behaviors within its core components, a microkernel-based OS would eventually run...

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  • White Papers // Apr 2008

    Incorporation of OpenMP Memory Consistency into Conventional Dataflow Analysis

    Current OpenMP compilers are often limited in their analysis and optimization of OpenMP programs by the challenge of incorporating OpenMP memory consistency semantics into conventional data flow algorithms. An important reason for this is that data flow analysis within current compilers traverses the program's Control-Flow Graph (CFG) and the CFG...

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  • White Papers // Jul 2009

    TidFP: Mining Frequent Patterns in Different Databases with Transaction ID

    Since transaction identifiers (ids) are unique and would not usually be frequent, mining frequent patterns with transaction ids, showing records they occurred in, provides an efficient way to mine frequent patterns in many types of databases including multiple tabled and distributed databases. Existing work have not focused on mining frequent...

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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...

    Provided By Springer Healthcare

  • White Papers // Oct 2012

    Requirement-Driven Creation and Deployment of Multidimensional and ETL Designs

    The authors present their tool, GEM, for assisting designers in the error-prone and time-consuming tasks carried out at the early stages of a data warehousing project. Their tool semi-automatically produces Multi-Dimensional (MD) and ETL conceptual designs from a given set of business requirements (like SLAs) and data source descriptions. Subsequently,...

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  • White Papers // Jul 2011

    Describing Analytical Sessions Using a Multidimensional Algebra

    Recent efforts to support analytical tasks over relational sources have pointed out the necessity to come up with flexible, powerful means for analyzing the issued queries and exploit them in decision-oriented processes (such as query recommendation or physical tuning). Issued queries should be decomposed, stored and manipulated in a dedicated...

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  • White Papers // Jul 2011

    GEM: Requirement-Driven Generation of ETL and Multidimensional Conceptual Designs

    At the early stages of a data warehouse design project, the main objective is to collect the business requirements and needs, and translate them into an appropriate conceptual, multidimensional design. Typically, this task is performed manually, through a series of interviews involving two different parties: the business analysts and technical...

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  • White Papers // Oct 2011

    A Comprehensive Framework on Multidimensional Modeling

    In this paper, the authors discuss what current multidimensional design approaches provide and which are their major flaws. Their contribution lays in a comprehensive framework that does not focus on how these approaches work but what they do provide for usage in real data warehouse projects. So that, they do...

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  • White Papers // Jul 2011

    Data-Driven Multidimensional Design for OLAP

    OLAP is a popular technology to query scientific and statistical databases, but their success heavily depends on a proper design of the underlying Multi-Dimensional (MD) databases (i.e., based on the fact/dimension paradigm). Relevantly, different approaches to automatically identify facts are nowadays available, but all MD design methods rely on discovering...

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  • White Papers // Oct 2008

    MDBE: Automatic Multidimensional Modeling

    In this paper, the authors present MDBE, a tool implementing their methodology for automatically deriving multidimensional schemas from relational sources, bearing in mind the end-user requirements. Their approach starts gathering the end-user information requirements that will be mapped over the data sources as SQL queries. Based on the constraints that...

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  • White Papers // Jul 2006

    Multidimensional Design by Examples

    In the authors' approach, the input query is decomposed to infer relevant implicit and explicit potential multidimensional knowledge contained and accordingly, it automatically proposes the set of multidimensional schemas satisfying those requirements. In this paper they present a method to validate user multidimensional requirements expressed in terms of SQL queries....

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  • White Papers // Nov 2008

    A Reference Model for Grid Architectures and Its Analysis

    Computing and data intensive applications in physics, medicine, biology, graphics, and business intelligence require large and distributed infrastructures to address today's and tomorrow's challenges. For example, process mining applications are faced with terrabytes of event data and computationally expensive algorithms. Increasingly, computer grids are used to deal with such challenges....

    Provided By Springer Healthcare

  • White Papers // Oct 2008

    Case Handling Systems as Product Based Workflow Design Support

    Case handling systems offer a solution to the lack of flexibility and adaptability in workflow management systems. Because they are data driven they potentially provide good support for Product Based Workflow Design (PBWD). In this paper, the authors investigate to which degree current case handling systems (flower and activity manager)...

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  • White Papers // Jan 2009

    Self-Tuning Management of Update-Intensive Multidimensional Data in Clusters of Workstations

    Contemporary applications continuously modify large volumes of multidimensional data that must be accessed efficiently and, more importantly, must be updated in a timely manner. Single-server storage approaches are insufficient when managing such volumes of data, while the high frequency of data modification renders classical indexing methods inefficient. To address these...

    Provided By Springer Healthcare

  • White Papers // Sep 2006

    GRACE-Based Joins on Active Storage Devices

    Contemporary long-term storage devices feature powerful embedded processors and sizeable memory buffers. Active Storage Devices (ASD) is the hard disk technology that makes use of these significant resources to not only manage the disk operation but also to execute custom application code on large amounts of data. While prior research...

    Provided By Springer Healthcare

  • White Papers // Apr 2009

    Formal Memory Models for the Verification of Low-Level Operating-System Code

    In this paper, the authors contribute to the field of operating-systems verification. It presents a formalization of virtual memory that extends to memory-mapped devices. Their formalization consists of a stack of three detailed formal memory models: physical memory (i.e., RAM), physically-addressable memory-mapped devices (including their respective side effects, access and...

    Provided By Springer Healthcare

  • 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 // 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...

    Provided By Springer Healthcare

  • 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....

    Provided By Springer Healthcare

  • 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....

    Provided By Springer Healthcare