03220nam 2200589 a 450 991029855310332120200520144314.03-319-00497-210.1007/978-3-319-00497-6(CKB)2670000000403458(EBL)1317762(OCoLC)854976184(SSID)ssj0000962957(PQKBManifestationID)11551242(PQKBTitleCode)TC0000962957(PQKBWorkID)10976474(PQKB)11462759(MiAaPQ)EBC1317762(DE-He213)978-3-319-00497-6(PPN)172422442(EXLCZ)99267000000040345820130606d2014 uy 0engur|n|---|||||txtccrMulti tenancy for cloud-based in-memory column databases workload management and data placement /Jan Schaffner1st ed. 2014.New York Springer20141 online resource (140 p.)In-memory data management researchDescription based upon print version of record.3-319-03344-1 3-319-00496-4 Includes bibliographical references.1. Introduction -- 2. Background and Motivation -- 3. A Model for Load Management and Response Time Prediction -- 4. The Robust Tenant Placement and Migration Problem -- 5. Algorithms for RTP -- 6. Experimental Evaluation -- 7. Related Work -- 8. Conclusions and Perspectives.With the proliferation of Software-as-a-Service (SaaS) offerings, it is becoming increasingly important for individual SaaS providers to operate their services at a low cost. This book investigates SaaS from the perspective of the provider and shows how operational costs can be reduced by using “multi tenancy,” a technique for consolidating a large number of customers onto a small number of servers. Specifically, the book addresses multi tenancy on the database level, focusing on in-memory column databases, which are the backbone of many important new enterprise applications. For efficiently implementing multi tenancy in a farm of databases, two fundamental challenges must be addressed, (i) workload modeling and (ii) data placement. The first involves estimating the (shared) resource consumption for multi tenancy on a single in-memory database server. The second consists in assigning tenants to servers in a way that minimizes the number of required servers (and thus costs) based on the assumed workload model. This step also entails replicating tenants for performance and high availability. This book presents novel solutions to both problems.In-Memory Data Management Research,2196-8055Cloud computingApplication service providersCloud computing.Application service providers.005.74Schaffner Jan1060124MiAaPQMiAaPQMiAaPQBOOK9910298553103321Multi Tenancy for Cloud-Based In-Memory Column Databases2511302UNINA