LEADER 03518nam 2200613 450 001 9910808553803321 005 20230803022736.0 010 $a1-61499-322-X 035 $a(CKB)2550000001179579 035 $a(EBL)1588998 035 $a(SSID)ssj0001171817 035 $a(PQKBManifestationID)11659418 035 $a(PQKBTitleCode)TC0001171817 035 $a(PQKBWorkID)11176747 035 $a(PQKB)10766283 035 $a(MiAaPQ)EBC1588998 035 $a(Au-PeEL)EBL1588998 035 $a(CaPaEBR)ebr10827951 035 $a(CaONFJC)MIL559718 035 $a(OCoLC)867820700 035 $a(EXLCZ)992550000001179579 100 $a20140122h20132013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aCloud computing and big data /$fedited by Charlie Catlett [and four others] 210 1$aAmsterdam, Netherlands :$cIOS Press,$d2013. 210 4$dİ2013 215 $a1 online resource (260 p.) 225 1 $aAdvances in Parallel Computing,$x1879-808X ;$vVolume 23 300 $aIncludes indexes. 311 $a1-61499-321-1 311 $a1-306-28467-8 327 $aTitle Page; Preface; Reviewers; Contents; Chapter 1. Cloud Infrastructures; Building Automatic Clouds with an Open-Source and Deployable Platform-as-a-Service; QoS-Aware Cloud Application Management; Building Secure and Transparent Inter-Cloud Infrastructure for Scientific Applications; Cloud Adoption Issues: Interoperability and Security; Semantic Technology for Supporting Software Portability and Interoperability in the Cloud - Contributions from the mOSAIC Project; Chapter 2. Cloud Applications; Using Clouds for Technical Computing 327 $aACO-Based Dynamic Job Scheduling of Parametric Computational Mechanics Studies on Cloud Computing InfrastructuresUsing the BSP Model on Clouds; Executing Multi-Workflow Simulations on a Mixed Grid/Cloud Infrastructure Using the SHIWA and SCI-BUS Technology; Chapter 3. Big Data; Ephemeral Materialization Points in Stratosphere Data Management on the Cloud; A Cloud Framework for Big Data Analytics Workflows on Azure; High Performance Big Data Clustering; Scalable Visualization and Interactive Analysis Using Massive Data Streams; Mammoth Data in the Cloud: Clustering Social Images; Subject Index 327 $aAuthor Index 330 $aCloud computing offers many advantages to researchers and engineers who need access to high performance computing facilities for solving particular compute-intensive and/or large-scale problems, but whose overall high performance computing (HPC) needs do not justify the acquisition and operation of dedicated HPC facilities. There are, however, a number of fundamental problems which must be addressed, such as the limitations imposed by accessibility, security and communication speed, before these advantages can be exploited to the full.This book presents 14 contributions selected from the Inter 410 0$aAdvances in parallel computing ;$vv. 23. 606 $aCloud computing 606 $aBig data 615 0$aCloud computing. 615 0$aBig data. 676 $a004.6782 701 $aCatlett$b Charlie$01621594 712 12$aInternational Research Workshop on Advanced High Performance Computing Systems$f(2012 :$eCetraro, Italy) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910808553803321 996 $aCloud computing and big data$93954968 997 $aUNINA LEADER 00557nam 2200217zu 450 001 9910978222103321 005 20250221160105.0 035 $a(CKB)37638025900041 035 $a(EXLCZ)9937638025900041 100 $a20250221|2024uuuu || | 101 0 $aeng 135 $aur||||||||||| 200 10$aConditions of Violence 210 $cDe Gruyter$d2024 311 08$a9783111569017 311 08$a3111569012 700 $aGerlach$b Christian$0790593 906 $aBOOK 912 $a9910978222103321 996 $aConditions of Violence$94321932 997 $aUNINA