Name
Abstract | ||
|---|---|---|
Worldwide accessibility of clouds brings great benefits by providing easy access to resources. However, scheduling cloud resources for utilization among multiple collaborating cloud users is still often executed manually. To address this problem, we developed a scheduling service for cloud middleware that guarantees optimal resource utilization in terms of a total number of used resources in a given interval based on user-defined policies. In the paper, we introduce the scheduling algorithm, describe its supporting system architecture and provide the evaluation that proves the feasibility of the developed solution. The provided scheduling algorithm takes into account dependencies between individual services, and can enforce common use of shared resources that lead to the optimal resource utilization. By assuring continuous schedule optimality, costs caused by unnecessary usage of additional cloud resources are minimized. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.12694/scpe.v13i3.792 | SCALABLE COMPUTING-PRACTICE AND EXPERIENCE |
Keywords | Field | DocType |
Cloud Computing, Resource allocation, Optimisation | Fair-share scheduling,Scheduling (computing),Computer science,Scheduling (production processes),Two-level scheduling,Genetic algorithm scheduling,Systems architecture,Dynamic priority scheduling,Distributed computing,Cloud computing | Journal |
Volume | Issue | ISSN |
13 | 3 | 1895-1767 |
Citations | PageRank | References |
1 | 0.44 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Faris Nizamic | 1 | 11 | 2.78 |
| Viktoriya Degeler | 2 | 45 | 6.77 |
| Rix Groenboom | 3 | 125 | 19.05 |
| Alexander Lazovik | 4 | 440 | 39.07 |