Title :
Federated Intelligent Cloud Service-Oriented Federation in Global Cloud Market with Match-Making Service Broker and Global Workload Management
Author :
Sathyanarayanan, S. ; Sagayaraj, Reynald Susainathan Reni
Author_Institution :
Dept. of Comput. Technol. & Applic., Anna Univ., Chennai, India
Abstract :
Federated Cloud Computing facilitates scalable on-demand service, ensuring business continuity through improved reliability on the cloud. This environment demands efficient Global Workload Management in the cloud market and appropriate mapping between service providers and consumers. This necessitates an efficient Service-Oriented Architecture, with an Enterprise Service Bus (ESB) providing a rich service abstraction. Service Broker, one of the main entities of ESB the implements Match-Making Algorithm. GWM focuses on scalable provisioning through Load-sharing policy improving QoS of global market. To realize this feature, the cloud coordinator implements an efficient distributed algorithm that incorporates vector clock based mutual exclusion on workload bursting. This paper presents vision, challenges and architectural elements of the Federated Intelligent Cloud.
Keywords :
cloud computing; distributed algorithms; quality of service; resource allocation; service-oriented architecture; ESB; GWM; QoS; distributed algorithm; enterprise service bus; federated cloud computing; federated intelligent cloud; global cloud market; global workload management; load-sharing policy; match-making algorithm; match-making service broker; service abstraction; service broker; service-oriented architecture; service-oriented federation; vector clock based mutual exclusion; workload bursting; Business; Cloud computing; Computer architecture; Data models; Protocols; Quality of service; Vectors; Distributed Network; Federated Services; Machine Learning; QoS;
Conference_Titel :
Contemporary Computing and Informatics (IC3I), 2014 International Conference on
Conference_Location :
Mysore
DOI :
10.1109/IC3I.2014.7019639