Efficient Service Broker Policy For Large-Scale Cloud Environments
Algorithms, policies, and methodologies are necessary to achieve high user satisfaction and practical utilization in cloud computing by ensuring the efficient and fair allocation of every computing resource. Whenever a new job arrives in cloud environments, the service broker is responsible for selecting the data center that will execute that job. Selecting data centers serves an important function in enhancing the performance of a cloud environment. This study proposes a new service broker policy for large-scale cloud applications based on the round-robin algorithm. The proposed policy is implemented and evaluated using a CloudAnalyst simulator. It is then compared with three existing policies in terms of overall average response time by using different virtual machine load balancing algorithms. Simulation results show that the proposed policy improves the overall average response time relative to that of the other policies.
Keywords: service broker policy, cloud computing data center selection algorithm, Cloud Analyst
Download Full-Text
ABOUT THE AUTHOR
Mohammed Radi
Mohammed Radi has completed his PhD degree at 2009 in distributed database from University Putra Malaysia. His MSc was at 2003 in computer science from University of Jordan and BSc in 2001 in computer science from AlAzhar University Gaza. Currently he is an Assistant professor ant Al-Aqsa University - Gaza. His primary research interest is could compute, distributed system and distributed database.
Mohammed Radi
Mohammed Radi has completed his PhD degree at 2009 in distributed database from University Putra Malaysia. His MSc was at 2003 in computer science from University of Jordan and BSc in 2001 in computer science from AlAzhar University Gaza. Currently he is an Assistant professor ant Al-Aqsa University - Gaza. His primary research interest is could compute, distributed system and distributed database.