Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-28073-3_21 | ICDCIT |
Keywords | Field | DocType |
deadline sensitive lease,resource allocation,scheduling algorithm,cloud computing,popular resource lease manager,scheduling plan,required resource,infrastructure cloud,better performance,cloud computing environment,slotted deadline,lease stores information | Lease,Computer science,Scheduling (computing),Computer network,Software,Resource allocation,Operating system,Distributed computing,Cloud computing | Conference |
Volume | ISSN | Citations |
7154 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 9 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dhairya Vora | 1 | 0 | 0.34 |
| Sanjay Chaudhary | 2 | 223 | 24.16 |
| Minal Bhise | 3 | 11 | 3.24 |
| Vikas Kumar | 4 | 2 | 1.04 |
| Gaurav Somani | 5 | 177 | 11.85 |