DocumentCode
606360
Title
Towards Self-Adaptive Cloud Collaborations
Author
Gohad, A. ; Ponnalagu, K. ; Narendra, Nanjangud C. ; Rao, Patri Sreehari
Author_Institution
IBM India Software Lab., Bangalore, India
fYear
2013
fDate
25-27 March 2013
Firstpage
54
Lastpage
61
Abstract
In multi-tenant collaborative cloud systems, the choice of cloud providers is based on pre-negotiated terms and conditions to help meet Service Level Agreements (SLAs) and streamline resource provisioning. However, these collaborations are not self-adaptive to accommodate changes in tenancy requirements, quality of resources and provider capabilities as provider collaborations remain static over tenancy period. In our paper, we present an approach towards achieving self-adaptive cloud collaborations. Our model selects the best possible cloud collaborations from amongst multiple possible dependent cloud provider collaboration links. The formation of cloud provider collaborations is broadly based on cloud provider capabilities, tenancy requirements, cost modeling of each cloud provider andits functional ability at the Software as a Service (SaaS) layer. We present an algorithm to form dynamic cloud collaborations and thereby determine the most appropriate linkages within the providers. We also illustrate our approach throughout our paper with a realistic running example, and present detailed experimental evaluation via a proof-of-concept prototype implementation.
Keywords
cloud computing; contracts; groupware; SLA; SaaS; cloud provider collaboration links; cloud providers; multitenant collaborative cloud systems; prenegotiated conditions; prenegotiated terms; proof-of-concept prototype implementation; self-adaptive cloud collaborations; service level agreements; software as a service layer; tenancy period; Cloud computing; Collaboration; Heuristic algorithms; Indexes; Iterative closest point algorithm; Monitoring; Transmission line measurements; cloud collaboration; model; multi-tenant; provisioning;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Engineering (IC2E), 2013 IEEE International Conference on
Conference_Location
Redwood City, CA
Print_ISBN
978-1-4673-6473-7
Type
conf
DOI
10.1109/IC2E.2013.11
Filename
6529268
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