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001 978-3-319-44881-7
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008 161027s2016 gw | s |||| 0|eng d
020 _a9783319448817
_9978-3-319-44881-7
024 7 _a10.1007/978-3-319-44881-7
_2doi
050 4 _aTK5105.5-5105.9
072 7 _aUKN
_2bicssc
072 7 _aCOM075000
_2bisacsh
082 0 4 _a004.6
_223
245 1 0 _aResource Management for Big Data Platforms
_h[electronic resource] :
_bAlgorithms, Modelling, and High-Performance Computing Techniques /
_cedited by Florin Pop, Joanna Ko�odziej, Beniamino Di Martino.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXIII, 516 p. 138 illus., 57 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aComputer Communications and Networks,
_x1617-7975
505 0 _aPerformance Modeling of Big Data Oriented Architectures -- Workflow Scheduling Techniques for Big Data Platforms -- Cloud Technologies: A New Level for Big Data Mining -- Agent Based High-Level Interaction Patterns for Modeling Individual and Collective Optimizations Problems -- Maximize Profit for Big Data Processing in Distributed Datacenters -- Energy and Power Efficiency in the Cloud -- Context Aware and Reinforcement Learning Based Load Balancing System for Green Clouds -- High-Performance Storage Support for Scientific Big Data Applications on the Cloud -- Information Fusion for Improving Decision-Making in Big Data Applications -- Load Balancing and Fault Tolerance Mechanisms for Scalable and Reliable Big Data Analytics -- Fault Tolerance in MapReduce: A Survey -- Big Data Security -- Big Biological Data Management -- Optimal Worksharing of DNA Sequence Analysis on Accelerated Platforms -- Feature Dimensionality Reduction for Mammographic Report Classification -- Parallel Algorithms for Multi-Relational Data Mining: Application to Life Science Problems -- Parallelization of Sparse Matrix Kernels for Big Data Applications -- Delivering Social Multimedia Content with Scalability -- A Java-Based Distributed Approach for Generating Large-Scale Social Network Graphs -- Predicting Video Virality on Twitter -- Big Data uses in Crowd Based Systems -- Evaluation of a Web Crowd-Sensing IoT Ecosystem Providing Big Data Analysis -- A Smart City Fighting Pollution by Efficiently Managing and Processing Big Data from Sensor Networks.
520 _aThis book constitutes a flagship driver towards presenting and supporting advance research in the area of Big Data platforms and applications. Extracting valuable information from raw data is especially difficult considering the velocity of growing data from year to year and the fact that 80% of data is unstructured. In addition, data sources are heterogeneous (various sensors, users with different profiles, etc.) and are located in different situations or contexts. Successful contributions may range from advanced technologies, applications and innovative solutions to global optimization problems in scalable large-scale computing systems to development of methods, conceptual and theoretical models related to Big Data applications and massive data storage and processing. The book provides, in this sense, a platform for the dissemination of advanced topics of theory, research efforts and analysis and implementation for Big Data platforms and applications being oriented on methods, techniques and performance evaluation. This book presents new ideas, analysis, implementations and evaluation of next-generation Big Data platforms and applications. In 23 chapters, several important formulations of the architecture design, optimization techniques, advanced analytics methods, biological, medical and social media applications are presented. These subjects represent the main objectives of ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet) and the research presented in these chapters was performed by joint collaboration of members from this action. This volume will serve as a reference for students, researchers and industry practitioners working in or interested in joining interdisciplinary works in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers to grasp the key concerns and potential solutions for the selected topics.
650 0 _aComputer science.
650 0 _aComputer software
_xReusability.
650 0 _aComputer communication systems.
650 0 _aDatabase management.
650 0 _aComputer simulation.
650 1 4 _aComputer Science.
650 2 4 _aComputer Communication Networks.
650 2 4 _aSimulation and Modeling.
650 2 4 _aPerformance and Reliability.
650 2 4 _aDatabase Management.
700 1 _aPop, Florin.
_eeditor.
700 1 _aKo�odziej, Joanna.
_eeditor.
700 1 _aDi Martino, Beniamino.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319448800
830 0 _aComputer Communications and Networks,
_x1617-7975
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-44881-7
912 _aZDB-2-SCS
942 _cEBK
999 _c51899
_d51899