Name
Abstract | ||
|---|---|---|
With the expansion of computing infrastructure of heterogeneous and distributed environment, resource management has become a big challenge. In a cloud computing environment, problems of management of resources with the tasks are encountered. Resources are the backbone of cloud, and it is very important to handle the issue of resource management efficiently. Unfortunately, the existing resource management policies, frameworks, and mechanisms are proved ineffective to handle these applications and resources. So to provide better performance of the application, the aforementioned characteristics must be addressed effectively. This paper proposes an approach that targets the maximization of server capacity by managing the resources properly, hence improving the performance of resources. In a hierarchical multilayer cloud framework, the resource management layer determines the utilization of the task set and admitted utilization of virtual machines that guarantees performance. A new novel nature inspired algorithm based on the foraging behavior of the social spider is implemented to increase the efficiency and effectiveness. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s11227-018-2372-z | The Journal of Supercomputing |
Keywords | Field | DocType |
Cloud computing, Social spider resource management algorithm (SSRMA), Resource, Attenuation, Resource management module, Resource placement module | Resource management,Virtual machine,Distributed Computing Environment,Computer science,Social spider,Maximization,Foraging,Cloud computing,Distributed computing | Journal |
Volume | Issue | ISSN |
76 | 3 | 1573-0484 |
Citations | PageRank | References |
0 | 0.34 | 25 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Preeti Abrol | 1 | 0 | 0.34 |
| Savita Gupta | 2 | 98 | 12.75 |