Performance of integrated workload scheduling and pre-fetching in multimedia mobile cloud computing
Abstract This paper focuses on an integrated workload scheduling and pre-fetching model in a multimedia mobile cloud computing environment to enhance the performance of response time and reduce the cost to process multimedia data. The response time and cost optimization problems are presented along...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2018-07-01
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| Series: | Journal of Cloud Computing: Advances, Systems and Applications |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13677-018-0115-6 |
| _version_ | 1819083857697177600 |
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| author | Kaveh Khorramnejad Lilatul Ferdouse Ling Guan Alagan Anpalagan |
| author_facet | Kaveh Khorramnejad Lilatul Ferdouse Ling Guan Alagan Anpalagan |
| author_sort | Kaveh Khorramnejad |
| collection | DOAJ |
| description | Abstract This paper focuses on an integrated workload scheduling and pre-fetching model in a multimedia mobile cloud computing environment to enhance the performance of response time and reduce the cost to process multimedia data. The response time and cost optimization problems are presented along with the computation resources such as virtual machines (VMs) allocation, workload conservation, queueing stability constraints, and to overcome the total response time and cost, a heuristic approach of workload scheduling method is proposed. The integrated workload scheduling at pre-fetcher and cloud are considered to study the effects of various parameters such as VM’s processing speed, pre-fetcher’s utilization, the user requests arrival rate. The performance analysis results reveal that the cost and transmission speed are directly relevant factors, meaning that, once the rate of data transmission is increasing, the cost is also increasing and vice versa. Hence, the time and cost efficient workload scheduling is essential to satisfy both delay and cost in pre-fetcher enabled multimedia cloud systems. |
| first_indexed | 2024-12-21T20:39:14Z |
| format | Article |
| id | doaj.art-c103f7af898a4f949d2e73858c2943f2 |
| institution | Directory Open Access Journal |
| issn | 2192-113X |
| language | English |
| last_indexed | 2024-12-21T20:39:14Z |
| publishDate | 2018-07-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Journal of Cloud Computing: Advances, Systems and Applications |
| spelling | doaj.art-c103f7af898a4f949d2e73858c2943f22022-12-21T18:51:01ZengSpringerOpenJournal of Cloud Computing: Advances, Systems and Applications2192-113X2018-07-017111410.1186/s13677-018-0115-6Performance of integrated workload scheduling and pre-fetching in multimedia mobile cloud computingKaveh Khorramnejad0Lilatul Ferdouse1Ling Guan2Alagan Anpalagan3Department of Electrical and Computer Engineering, Ryerson UniversityDepartment of Electrical and Computer Engineering, Ryerson UniversityDepartment of Electrical and Computer Engineering, Ryerson UniversityDepartment of Electrical and Computer Engineering, Ryerson UniversityAbstract This paper focuses on an integrated workload scheduling and pre-fetching model in a multimedia mobile cloud computing environment to enhance the performance of response time and reduce the cost to process multimedia data. The response time and cost optimization problems are presented along with the computation resources such as virtual machines (VMs) allocation, workload conservation, queueing stability constraints, and to overcome the total response time and cost, a heuristic approach of workload scheduling method is proposed. The integrated workload scheduling at pre-fetcher and cloud are considered to study the effects of various parameters such as VM’s processing speed, pre-fetcher’s utilization, the user requests arrival rate. The performance analysis results reveal that the cost and transmission speed are directly relevant factors, meaning that, once the rate of data transmission is increasing, the cost is also increasing and vice versa. Hence, the time and cost efficient workload scheduling is essential to satisfy both delay and cost in pre-fetcher enabled multimedia cloud systems.http://link.springer.com/article/10.1186/s13677-018-0115-6Multimedia mobile cloud computingWorkload schedulingPre-fetcherVM allocation |
| spellingShingle | Kaveh Khorramnejad Lilatul Ferdouse Ling Guan Alagan Anpalagan Performance of integrated workload scheduling and pre-fetching in multimedia mobile cloud computing Journal of Cloud Computing: Advances, Systems and Applications Multimedia mobile cloud computing Workload scheduling Pre-fetcher VM allocation |
| title | Performance of integrated workload scheduling and pre-fetching in multimedia mobile cloud computing |
| title_full | Performance of integrated workload scheduling and pre-fetching in multimedia mobile cloud computing |
| title_fullStr | Performance of integrated workload scheduling and pre-fetching in multimedia mobile cloud computing |
| title_full_unstemmed | Performance of integrated workload scheduling and pre-fetching in multimedia mobile cloud computing |
| title_short | Performance of integrated workload scheduling and pre-fetching in multimedia mobile cloud computing |
| title_sort | performance of integrated workload scheduling and pre fetching in multimedia mobile cloud computing |
| topic | Multimedia mobile cloud computing Workload scheduling Pre-fetcher VM allocation |
| url | http://link.springer.com/article/10.1186/s13677-018-0115-6 |
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