大葉大學圖書館 |

Quality-aware scheduling for key-value data stores[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	005.434
書名/作者:	Quality-aware scheduling for key-value data stores/ by Chen Xu, Aoying Zhou.
作者:	Xu, Chen.
其他作者:	Zhou, Aoying.
出版者:	Berlin, Heidelberg : : Springer Berlin Heidelberg :, 2015.
面頁冊數:	xi, 97 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Computer scheduling.
標題:	Database management.
標題:	Computer Science.
標題:	Database Management.
標題:	Information Systems Applications (incl. Internet)
標題:	Operating Systems.
ISBN:	9783662473061 (electronic bk.)
ISBN:	9783662473054 (paper)
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-662-47306-1

Quality-aware scheduling for key-value data stores[electronic resource] /
Xu, Chen.

Quality-aware scheduling for key-value data stores[electronic resource] /by Chen Xu, Aoying Zhou. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - xi, 97 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..

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.

ISBN: 9783662473061 (electronic bk.)

Standard No.: 10.1007/978-3-662-47306-1doiSubjects--Topical Terms:

468313
Computer scheduling.

LC Class. No.: QA76.53

Dewey Class. No.: 005.434

Quality-aware scheduling for key-value data stores[electronic resource] /
LDR:02031nam a2200325 a 4500 001 439271
003 DE-He213
005 20160115153158.0
006 m d
007 cr nn 008maaau
008 160322s2015 gw s 0 eng d
020 $a 9783662473061 (electronic bk.)
020 $a 9783662473054 (paper)
024 7 $a 10.1007/978-3-662-47306-1 $2 doi
035 $a 978-3-662-47306-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.53
072 7 $a UN $2 bicssc
072 7 $a UMT $2 bicssc
072 7 $a COM021000 $2 bisacsh
082 0 4 $a 005.434 $2 23
090 $a QA76.53 $b .X8 2015
100 1 $a Xu, Chen. $3 610375
245 1 0 $a Quality-aware scheduling for key-value data stores $h [electronic resource] / $c by Chen Xu, Aoying Zhou.
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2015.
300 $a xi, 97 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in computer science, $x 2191-5768
520 $a 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.
650 0 $a Computer scheduling. $3 468313
650 0 $a Database management. $3 174575
650 1 4 $a Computer Science. $3 423143
650 2 4 $a Database Management. $3 463966
650 2 4 $a Information Systems Applications (incl. Internet) $3 463679
650 2 4 $a Operating Systems. $3 466949
700 1 $a Zhou, Aoying. $3 627043
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in computer science. $3 466946
856 4 0 $u http://dx.doi.org/10.1007/978-3-662-47306-1
950 $a Computer Science (Springer-11645)