About this product

Product Identifiers

PublisherNow Publishers

ISBN-101680837745

ISBN-139781680837742

eBay Product ID (ePID)28050103299

Product Key Features

Number of Pages120 Pages

LanguageEnglish

Publication NameCloud Data Services : Workloads, Architectures and Multi-Tenancy

SubjectComputer Science, Databases / Servers

Publication Year2021

TypeTextbook

Subject AreaComputers

AuthorSurajit Chaudhuri, Vivek Narasayya

SeriesFoundations and Trends in Databases Ser.

FormatTrade Paperback

Dimensions

Item Weight6.4 Oz

Item Length9.2 in

Item Width6.1 in

Additional Product Features

Intended AudienceScholarly & Professional

Table Of Content1. Introduction2. Cloud Data Services: Workloads and Architectures3. Multi-Tenancy: Background4. SLAs and Pricing Models5. Resource Management6. Efficiency and Cost7. Serverless Databases8. Open Problems and ConclusionAcknowledgementsReferences

SynopsisThis timely overview, written by recognized experts in the field provides readers with essential insights into designing cloud data services to day and in the future. This concise and accessible review will save designers and researchers hours by having it at their fingertips., Enterprises are moving their business critical workloads to public clouds at an accelerating pace. Cloud data services for Online Transaction Processing (OLTP), Data Analytics and NoSQL are essential building blocks for enterprise applications. Multi-tenancy is a crucial tenet for cloud data service providers that allows sharing of data center resources across tenants, thereby reducing cost. In this monograph, the authors review architectures of today's cloud data services and identify trends and challenges that arise in multi-tenant cloud data services. They survey techniques that have been developed for enabling elasticity, providing SLAs, ensuring performance isolation and reducing cost. The emerging paradigm of serverless databases is reviewed and opportunities and challenges highlighted. Finally, the authors identify open research problems in the fast-changing landscape of cloud data services. This timely overview, written by recognized experts in the field provides readers with essential insights into designing cloud data services to day and in the future. This concise and accessible review will save designers and researchers hours by having it at their fingertips., Enterprises are moving their business critical workloads to public clouds at an accelerating pace. Cloud data services for Online Transaction Processing (OLTP), Data Analytics and NoSQL are essential building blocks for enterprise applications. Multi-tenancy is a crucial tenet for cloud dataservice providers that allows sharing of data center resources across tenants, thereby reducing cost.In this monograph, the authors review architectures of today's cloud data services and identify trends and challenges that arise in multi-tenant cloud data services. They survey techniques that have been developed for enabling elasticity, providing SLAs, ensuring performance isolation and reducing cost. The emerging paradigm of serverless databases is reviewed and opportunities and challenges highlighted. Finally, the authors identify open research problems in the fast-changing landscape of cloud data services.This timely overview, written by recognized experts in the field provides readers with essential insights into designing cloud data services to day and in the future. This concise and accessible review will save designers and researchers hours by having it at their fingertips.