A novel approach for scheduling service request in cloud with trust monitor

Cloud computing serves as the service provider globally connected, which provides service to the cloud users. The processing of the users request plays an important role in the cloud service. In order to achieve low response time of the requested user service, the services are processed as such resulting in low throughput where all the users can't receive their guaranteed service from the cloud provider. The random processing of service as a result, a security issue such as intrusion also occurs. The novel cloud scheduling scheme uses SLA(Service Level Agreement) along with trust monitor to provide a faster scheduling of the over flooding user request with secure processing of the request. The security of the cloud is maintain based on the SLA criteria and trust monitor acts as the third party and monitors whole processing of the services, any illegal action is consider as intrusion and reported to the scheduler and message is sent to the user and provider and further penalties is taken. The schedule gives improved fast schedule time and low rescheduling ratio than grid scheduling. The proposed schedule scheme provides advantages and better performance for both the cloud user and service provider.

[1]  David E. Irwin,et al.  Dynamic virtual clusters in a grid site manager , 2003, High Performance Distributed Computing, 2003. Proceedings. 12th IEEE International Symposium on.

[2]  Ian Foster,et al.  Usage SLA-based scheduling in Grids: Research Articles , 2007, Grid 2007.

[3]  Sathish S. Vadhiyar,et al.  Performance modeling of parallel applications for grid scheduling , 2008, J. Parallel Distributed Comput..

[4]  Ian T. Foster,et al.  Usage SLA‐based scheduling in Grids , 2007, Concurr. Comput. Pract. Exp..

[5]  Yaohang Li A Bio-inspired Adaptive Job Scheduling Mechanism on a Computational Grid , 2006 .

[6]  Xuemei Shi,et al.  Uncertainty reasoning based on cloud models in controllers , 1998 .

[7]  Weisong Shi,et al.  An Adaptive Rescheduling Strategy for Grid Workflow Applications , 2007, 2007 IEEE International Parallel and Distributed Processing Symposium.

[8]  Albert Y. Zomaya,et al.  On the Performance of a Dual-Objective Optimization Model for Workflow Applications on Grid Platforms , 2009, IEEE Transactions on Parallel and Distributed Systems.

[9]  Stefan Wesner,et al.  Service level agreements for job control in high-performance computing , 2010, Proceedings of the International Multiconference on Computer Science and Information Technology.

[10]  Odej Kao,et al.  Introducing Risk Management into the Grid , 2006, 2006 Second IEEE International Conference on e-Science and Grid Computing (e-Science'06).

[11]  Pin Lv,et al.  Cloud theory-based simulated annealing algorithm and application , 2009, Eng. Appl. Artif. Intell..

[12]  David Abramson,et al.  Economic models for resource management and scheduling in Grid computing , 2002, Concurr. Comput. Pract. Exp..

[13]  Andreas Menychtas,et al.  Service Level Agreements in Virtualised Service Platforms , 2009 .

[14]  Bin Du,et al.  A WSLA-based monitoring system for grid service - GSMon , 2004, IEEE International Conference onServices Computing, 2004. (SCC 2004). Proceedings. 2004.

[15]  Norman W. Paton,et al.  Utility Driven Adaptive Work?ow Execution , 2009, 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid.

[16]  S. D. Madhu Kumar,et al.  Power Efficient Resource Allocation for Clouds Using Ant Colony Framework , 2011, ArXiv.

[17]  Randy H. Katz,et al.  Above the Clouds: A Berkeley View of Cloud Computing , 2009 .

[18]  Rizos Sakellariou,et al.  An evaluation of heuristics for SLA based parallel job scheduling , 2006, Proceedings 20th IEEE International Parallel & Distributed Processing Symposium.

[19]  Indrajit Mukherjee,et al.  Cloud Computing Initiative using Modified Ant Colony Framework , 2009 .

[20]  Haijun Wang,et al.  Spatial Clustering Method Based on Cloud Model , 2007, Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007).

[21]  Yong Zhao,et al.  Cloud Computing and Grid Computing 360-Degree Compared , 2008, GCE 2008.