|International Journal of Computer Applications
|Foundation of Computer Science (FCS), NY, USA
|Volume 152 - Number 2
|Year of Publication: 2016
|Authors: Vivek Shrivastava, Payal Gupta, D. S. Bhilare
Vivek Shrivastava, Payal Gupta, D. S. Bhilare . IAR: Improved Advance Reservation in IaaS Clouds. International Journal of Computer Applications. 152, 2 ( Oct 2016), 4-9. DOI=10.5120/ijca2016911767
Cloud data centers have a large number of resources. Management of such huge amount of resources for a large number of consumers requires fail-safe algorithms and leasing policies. Advance Reservation (AR) leasing policy is a rigid policy, which needs resource and consumer locking at a very early point of time, while advanced reserved lease can be rejected at actual point of time when resources are required. This problem can be dealt with proposed Improved Advance Reservation (IAR) algorithm and leasing policy , which uses negotiation and provide half capacity of the requested number of resources, instead of rejecting a lease if consumer agrees for the same. Experimental results show that the proposed work maximize resource utilization and acceptance of requests in comparison with existing algorithms in Haizea.