LEADER 04758nam 22007095 450 001 9910298977703321 005 20200701163416.0 010 $a1-4939-1905-9 024 7 $a10.1007/978-1-4939-1905-5 035 $a(CKB)3710000000311441 035 $a(EBL)1964993 035 $a(OCoLC)897466500 035 $a(SSID)ssj0001408020 035 $a(PQKBManifestationID)11755987 035 $a(PQKBTitleCode)TC0001408020 035 $a(PQKBWorkID)11346728 035 $a(PQKB)11215245 035 $a(MiAaPQ)EBC1964993 035 $a(DE-He213)978-1-4939-1905-5 035 $a(PPN)183148649 035 $a(EXLCZ)993710000000311441 100 $a20141202d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aCloud Computing for Data-Intensive Applications /$fedited by Xiaolin Li, Judy Qiu 205 $a1st ed. 2014. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2014. 215 $a1 online resource (425 p.) 300 $aDescription based upon print version of record. 311 $a1-4939-1904-0 320 $aIncludes bibliographical references. 327 $aScalable Deployment of a LIGO Physics Application on Public Clouds:Workflow Engine and Resource Provisioning Techniques -- The FutureGrid Testbed for Big Data -- Cloud Networking to Support Data Intensive Applications -- IaaS cloud benchmarking: approaches, challenges, and experience -- Adaptive Workload Partitioning and Allocation for Data Intensive Scientific Applications -- Federating Advanced CyberInfrastructures with Autonomic Capabilities -- Executing Storm Surge Ensembles on PAAS Cloud -- Migrating Scientific Workflow Management Systems from the Grid to the Cloud -- Efficient Task-Resource Matchmaking Using Self-Adaptive Combinatorial Auction -- Cross-Phase Optimization in MapReduce -- DRAW: A New Data-gRouping-AWare Data Placement Scheme for Data Intensive Applications with Interest Locality -- Maiter: An Asynchronous Graph Processing Framework for Delta-based Accumulative Iterative Computation -- GPU-Accelerated Cloud Computing Data-Intensive Applications -- Big Data Storage and Processing on Azure Clouds: Experiments at Scale and Lessons Learned -- Storage and Data Lifecycle Management in Cloud  Environments with FRIEDA -- DTaaS: Data Transfer as a Service in the Cloud -- Supporting a Social Media Observatory with Customizable Index Structures ? Architecture and Performance. 330 $aThis book presents a range of cloud computing platforms for data-intensive scientific applications. It covers systems that deliver infrastructure as a service, including: HPC as a service; virtual networks as a service; scalable and reliable storage; algorithms that manage vast cloud resources and applications runtime; and programming models that enable pragmatic programming and implementation toolkits for eScience applications. Many scientific applications in clouds are also introduced, such as bioinformatics, biology, weather forecasting and social networks. Most chapters include case studies. Cloud Computing for Data-Intensive Applications targets advanced-level students and researchers studying computer science and electrical engineering. Professionals working in cloud computing, networks, databases and more will also find this book useful as a reference. 606 $aComputers 606 $aComputer networks 606 $aApplication software 606 $aDatabase management 606 $aInformation Systems and Communication Service$3https://scigraph.springernature.com/ontologies/product-market-codes/I18008 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 615 0$aComputers. 615 0$aComputer networks. 615 0$aApplication software. 615 0$aDatabase management. 615 14$aInformation Systems and Communication Service. 615 24$aComputer Communication Networks. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aDatabase Management. 676 $a004 676 $a004.6 676 $a005.7 676 $a005.74 702 $aLi$b Xiaolin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aQiu$b Judy$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910298977703321 996 $aCloud Computing for Data-Intensive Applications$92060913 997 $aUNINA