A Unified Business-Driven Cloud Management Framework

被引：3

作者：

Lu, Qinghua ^{[1
]}

Zhu, Liming ^{[2
]}

Xu, Xiwei ^{[2
]}

Tosic, Vladimir ^{[2
]}

Chauhan, Dipesh ^{[2
]}

Zhang, Weishan ^{[1
]}

Sun, Daniel ^{[2
]}

机构：

[1] China Univ Petr, Coll Comp & Commun Engn, Qingdao, Peoples R China

[2] NICTA, Software Syst Res Grp, Sydney, NSW, Australia

来源：

IEEE TRANSACTIONS ON SERVICES COMPUTING | 2016年 / 9卷 / 06期

基金：

澳大利亚研究理事会; 中国国家自然科学基金; 中央高校基本科研业务费专项资金资助;

关键词：

Cloud computing; management; middleware; business value; policy language;

D O I：

10.1109/TSC.2015.2428257

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Cloud system management is complex due to their diversity and frequent runtime changes. Cloud systems were previously managed through cloud specific management tools that focus on optimising technical metrics, such as performance. However, business users care business metrics (such as cost and revenue) more than technical metrics. To address these issues, this paper proposes a unified business-driven cloud management framework, which enables optimisation of business metrics without limiting business to a specific cloud provider. The main contributions include: (1) a taxonomy which defines a set of actions, events and metrics for unified cloud management; (2) a cloud management policy language that specifies cloud management policies from a business perspective; and (3) middleware architecture that allows business-driven management of diverse clouds. The proposed solutions are evaluated in terms of feasibility, functional correctness, generality, usefulness, and performance.

引用

页码：872 / 882

页数：11

共 29 条

[1] Amazon, 2013, AM EL COMP CLOUD AM
[2] [Anonymous], P EUROSYS
[3] [Anonymous], 2010, ACM S APPL COMP SAC
[4] Cloudkick, 2013, MAN FEAT
[5] Emeakaroha Vincent C., 2010, 2010 International Conference on High Performance Computing & Simulation (HPCS 2010), P48, DOI 10.1109/HPCS.2010.5547150
[6] Heroku, 2013, CLI US
[7] Iqbal Waheed, 2010, Proceedings 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing (CCGrid), P832, DOI 10.1109/CCGRID.2010.59
[8] The vision of autonomic computing
Kephart, JO
Chess, DM
[J]. COMPUTER, 2003, 36 (01) : 41 - +
[9] Kumar V, 2005, ICAC 2005: SECOND INTERNATIONAL CONFERENCE ON AUTONOMIC COMPUTING, PROCEEDINGS, P3
[10] Loh P., 2009, TAPINSYSTEMS, V1

← 1 2 3 →