Dimensions for Evaluating Cloud Resource Orchestration Frameworks

被引：10

作者：

Khoshkbarforoushha, Alireza ^{[1
,2
]}

Wang, Meisong ^{[1
,3
]}

Ranjan, Rajiv ^{[4
]}

Wang, Lizhe ^{[5
,6
]}

Alem, Leila ^{[3
,7
]}

Khan, Samee U. ^{[8
]}

Benatallah, Boualem ^{[9
]}

机构：

[1] Australian Natl Univ, Coll Engn & Comp Sci, Canberra, ACT 0200, Australia

[2] CSIRO Canberra, Data61, Canberra, ACT, Australia

[3] CSIRO, Canberra, ACT, Australia

[4] Newcastle Univ, Sch Comp Sci, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England

[5] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100864, Peoples R China

[6] China Univ Geosci, Sch Comp Sci, Wuhan, Peoples R China

[7] Univ Technol Sydney, Fac Engn & Informat Technol, Ctr Design Res, User Ctr Technol, Sydney, NSW 2007, Australia

[8] N Dakota State Univ, Dept Elect & Comp Engn, Fargo, ND 58102 USA

[9] Univ New S Wales, Sch Comp Sci & Engn, Sydney, NSW 2052, Australia

来源：

COMPUTER | 2016年 / 49卷 / 02期

关键词：

cloud; cloud computing; cloud resource orchestration frameworks; cloud service management; cloud services; CROFs;

D O I：

10.1109/MC.2016.56

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Despite the proliferation of cloud resource orchestration frameworks (CROFs), DevOps managers and application developers still have no systematic tool for evaluating their features against desired criteria. The authors present generic technical dimensions for analyzing CROF capabilities and understanding prominent research to refine them. © 2016 IEEE.

引用

页码：24 / 33

页数：10

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