Multi Criteria Resource Matching In Multi Cloud Environment

To avoid vendor lockup problem, multi cloud environment is being used in organizations. For users tasks in the enterprises, the best resource in multi cloud is selected and the task is executed to meet the SLA. In this kind of environment, a suitable resource match making algorithm is needed to find the best resource to execute the user task. In this work, we express the capability of the resource dynamically as Trust and based on Trust a suitable resource is selected matching user SLA needs. The trust is our approach is calculated based on multi criteria parameters.

[1]  Weisong Shi,et al.  A reputation-driven scheduler for autonomic and sustainable resource sharing in Grid computing , 2010, J. Parallel Distributed Comput..

[2]  Kai Hwang,et al.  Trusted Cloud Computing with Secure Resources and Data Coloring , 2010, IEEE Internet Computing.

[3]  Carlos Becker Westphall,et al.  Toward an architecture for monitoring private clouds , 2011, IEEE Communications Magazine.

[4]  Max Mühlhäuser,et al.  Towards a Trust Management System for Cloud Computing , 2011, 2011IEEE 10th International Conference on Trust, Security and Privacy in Computing and Communications.

[5]  S. Thamarai Selvi,et al.  Trust management system for grid and cloud resources , 2009, 2009 First International Conference on Advanced Computing.

[6]  Lance J. Hoffman,et al.  Trust beyond security: an expanded trust model , 2006, CACM.

[7]  Lavanya Ramakrishnan,et al.  Performance and cost analysis of the Supernova factory on the Amazon AWS cloud , 2011, Sci. Program..

[8]  Nicola Dragoni,et al.  A Survey on Trust-Based Web Service Provision Approaches , 2010, 2010 Third International Conference on Dependability.

[9]  Benny Rochwerger,et al.  Monitoring Service Clouds in the Future Internet , 2010, Future Internet Assembly.

[10]  Devarshi Ghoshal,et al.  I/O performance of virtualized cloud environments , 2011, DataCloud-SC '11.

[11]  Khaled M. Khan,et al.  Establishing Trust in Cloud Computing , 2010, IT Professional.

[12]  Jeffrey Shafer,et al.  I/O virtualization bottlenecks in cloud computing today , 2010 .

[13]  Woongsup Kim,et al.  A Trust Evaluation Model for QoS Guarantee in Cloud Systems , 2010 .