Integrated Resource Allocation Model for Cloud and Fog Computing: Toward Energy-Efficient Infrastructure as a Service (IaaS)
| dc.contributor.author | Joda Usman, Mohammed | |
| dc.contributor.author | Samad Ismail, Abdul | |
| dc.date.accessioned | 2022-08-24T10:16:54Z | |
| dc.date.available | 2022-08-24T10:16:54Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | Cloud is transmigrating to network edge where they are seen as virtualized resources called “Fog Computing” that expand the idea of Cloud Computing perspective to the network edge. This chapter proposes an integrated resource allocation model for energy-efficient Infrastructure as a Service (IaaS) that extends from the network edge of the Fog to the Cloud datacenter. We first developed a new architecture and introduced a policy on the Fog end where a decision will be made to either process the user request on the Fog or it will be moved to the Cloud datacenter. We developed a decision model on top of the architecture. The decision model takes into consideration of the resource constraints of CPU, Memory, and Storage. Using this will improve resource utilization as well as the reduction in energy consumption by a datacenter. Finally, we addressed future research direction considering the model components and its performance. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/1471 | |
| dc.language.iso | en | en_US |
| dc.title | Integrated Resource Allocation Model for Cloud and Fog Computing: Toward Energy-Efficient Infrastructure as a Service (IaaS) | en_US |
| dc.type | Article | en_US |
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