TY  - BOOK
AU  - Xu,Chen
AU  - Zhou,Aoying
ED  - SpringerLink (Online service)
TI  - Quality-aware Scheduling for Key-value Data Stores
T2  - SpringerBriefs in Computer Science,
SN  - 9783662473061
AV  - QA76.9.D3 
U1  - 005.74 23
PY  - 2015///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg, Imprint: Springer
KW  - Computer Science
KW  - Operating systems (Computers)
KW  - Database management
KW  - Database Management
KW  - Information Systems Applications (incl. Internet)
KW  - Operating Systems
N2  - Key-value stores, which are commonly used as data platform for various web applications, provide a distributed solution for cloud computing and big data management.  In modern web applications, user experience satisfaction determines their success . In real application, different web queries or users produce different expectations in terms of query latency (i.e., Quality of Service (QoS)) and data freshness (i.e., Quality of Data (QoD)).  Hence, the question of how to optimize QoS and QoD by scheduling queries and updates in key-value stores has become an essential research issue. This book comprehensively illustrates quality-ware scheduling in key-value stores. In addition, it provides scheduling strategies and a prototype framework for a quality-aware scheduler, as well as a demonstration of online applications. The book offers a rich blend of theory and practice, making it suitable for students, researchers and practitioners interested in distributed systems, NoSQL key-value stores and scheduling
UR  - http://dx.doi.org/10.1007/978-3-662-47306-1
ER  -