Deadline Scheduling for Real-Time Systems: Edf and Related Algorithms
Deadline Scheduling for Real-Time Systems: Edf and Related Algorithms
Overhead Matters: A Model for Virtual Resource Management
VTDC '06 Proceedings of the 2nd International Workshop on Virtualization Technology in Distributed Computing
Combining batch execution and leasing using virtual machines
HPDC '08 Proceedings of the 17th international symposium on High performance distributed computing
The Eucalyptus Open-Source Cloud-Computing System
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
Resource Leasing and the Art of Suspending Virtual Machines
HPCC '09 Proceedings of the 2009 11th IEEE International Conference on High Performance Computing and Communications
Virtual Infrastructure Management in Private and Hybrid Clouds
IEEE Internet Computing
Optimal Resource Allocation in Clouds
CLOUD '10 Proceedings of the 2010 IEEE 3rd International Conference on Cloud Computing
Negotiation for resource allocation in IaaS cloud
COMPUTE '11 Proceedings of the Fourth Annual ACM Bangalore Conference
Policy based resource allocation in IaaS cloud
Future Generation Computer Systems
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Resource allocation is an important aspect in cloud computing. In Cloud Computing environment, the user can access required resources in the form of a service. The resource may be a platform, a software or infrastructure. In an IaaS (Infrastructure as a Service) Cloud, users send requests to the cloud-provider in the form of a lease; The cloud-provider makes a scheduling plan for leases in order to maximize the number of leases it can accommodate. A lease stores information about the required resources, including the time at which the resources are required. Haizea is a popular resource lease manager which handles the scheduling of such leases. An algorithm for deadline sensitive leases is presented which accepts more number of leases by dividing a lease into multiple slots and by backfilling already accommodated leases. Experimental results show that our scheduling algorithm gives better performance than existing algorithms in Haizea.