书目名称 | Multi Tenancy for Cloud-Based In-Memory Column Databases |
副标题 | Workload Management |
编辑 | Jan Schaffner |
视频video | |
概述 | A background chapter on column databases and multi tenancy summarizes the key concepts of these technologies in a compact manner.A dedicated chapter on related work provides a detailed survey of the s |
丛书名称 | In-Memory Data Management Research |
图书封面 |  |
描述 | .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.. |
出版日期 | Book 2014 |
关键词 | Column Databases; Databases; HANA; Multi Tenancy; SAP; Software-as-a-Service; algorithm analysis and probl |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-319-00497-6 |
isbn_softcover | 978-3-319-03344-0 |
isbn_ebook | 978-3-319-00497-6Series ISSN 2196-8055 Series E-ISSN 2196-8063 |
issn_series | 2196-8055 |
copyright | Springer International Publishing Switzerland 2014 |