Advance Reservation Policy for Inter-Member Workflow Scheduling in Community Cloud
Abstract: The problem of solving fast collaboration among many related enterprises has been an important research issue in the Web Society research area. The recent proposed Cloud Computing application model called the Community Cloud Computing has provided a good solution for this problem. The problem with the traditional allocation of resources in inter-member workflow scheduling in community cloud is that the resource may be not available when needed and the task/job will have to wait for a long time. This can lead to a relatively poor performance of the system resource utilization rate. The reason of the low utilization rate is because it is prone to pick up an overloaded service node and cause a waiting delay. To overcome this problem, an advance reservation technique has been proposed.
Keywords: Advance Reservation, Workflow, Grid, PCSA, Community Cloud
How to Cite?: Ajeet Kumar Bhartee, Akshay Saxena, Anmol Anand Srivastava, Ashish Kumar Patel, "Advance Reservation Policy for Inter-Member Workflow Scheduling in Community Cloud", Volume 4 Issue 4, April 2015, International Journal of Science and Research (IJSR), Pages: 2891-2894, https://www.ijsr.net/getabstract.php?paperid=SUB153839, DOI: https://dx.doi.org/10.21275/SUB153839