Multi Tenancy for Cloud-Based In-Memory Column Databases: Workload Management and Data Placement (In-Memory Data Management Research)

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(as of May 21,2023 12:25:35 UTC – Details)

As more and more companies are offering Software-as-a-Service (SaaS) solutions, it has become crucial for SaaS providers to operate their services at low costs. This book delves into the concept of multi tenancy from the provider’s perspective and demonstrates how it can reduce operational costs. Multi tenancy is a method of consolidating numerous customers onto fewer servers.

The book concentrates on in-memory column databases that are fundamental to many enterprise applications and focuses on multi tenancy at the database level. Two challenges must be tackled to effectively implement multi tenancy in a group of databases: workload modeling and data placement. Estimating resource consumption for multi tenancy on a single in-memory database server is the first challenge. The second challenge entails assigning tenants to servers, minimizing the number of servers required (and costs) based on the workload model. It also involves replicating tenants for performance and high availability. This book presents new solutions to both problems.

Publisher: Springer; Softcover reprint of the original 1st ed. 2014 edition (August 6, 2015)

Language: English

Paperback: 141 pages

ISBN-10: 3319033441

ISBN-13: 978-3319033440

Item Weight: 5.05 pounds

Dimensions: 6.1 x 0.34 x 9.25 inches