Name
Abstract | ||
|---|---|---|
Infrastructure-as-a-Service (IaaS) cloud computing provides the ability to dynamically acquire extra or release existing computing resources on-demand to adapt to dynamic application workloads. In this paper, we propose an extensible framework for on-demand cloud resource provisioning and adaptation. The core of the framework is a set of resource adaptation algorithms that are capable of making informed provisioning decisions to adapt to workload fluctuations. The framework is designed to manage multiple sets of resources acquired from different cloud providers, and to interact with different local resource managers. We have developed a fully functional web-service based prototype of this framework, and used it for performance evaluation of various resource adaptation algorithms under different realistic settings, e.g. when input data such as jobs' wall times are inaccurate. Extensive experiments have been conducted with both synthetic and real workload traces obtained from the Grid Workload Archives, more specifically the traces from the Large Hadron Collider Computing Grid. The results demonstrate the effectiveness and robustness of our proposed algorithms. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/CloudCom.2011.49 | CloudCom |
Keywords | Field | DocType |
extensible framework,resource adaptation algorithm,different local resource manager,cloud computing,grid workload archives,iaas clouds,dynamic resource provisioning,on-demand cloud resource,different realistic setting,different cloud provider,various resource adaptation algorithm,existing computing resource,torque,web service,resource allocation,large hadron collider,infrastructure as a service,web services,booting,grid computing,algorithm design and analysis,resource manager,computational modeling,algorithm design,computer model,heuristic algorithm | Grid computing,Workload,Computer science,Robustness (computer science),Provisioning,Real-time computing,Resource allocation,Web service,Grid,Distributed computing,Cloud computing | Conference |
Citations | PageRank | References |
13 | 0.75 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ta Nguyen Binh Duong | 1 | 77 | 7.24 |
| Xiaorong Li | 2 | 113 | 10.80 |
| Rick Siow Mong Goh | 3 | 336 | 40.34 |