Optimization of task scheduling for computing reuse in computing power network
To cope with the challenges posed by the future explosive growth in computing power demand, computing reuse technology was introduced into the computing power network to reduce service latency and computational resource consumption by reusing the results of computational tasks.Based on this, a servi...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2023-11-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023206/ |
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| _version_ | 1841540050427314176 |
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| author | Yunxiao MA Zhonghui WU Zuyun XU Lujie ZHONG Changqiao XU |
| author_facet | Yunxiao MA Zhonghui WU Zuyun XU Lujie ZHONG Changqiao XU |
| author_sort | Yunxiao MA |
| collection | DOAJ |
| description | To cope with the challenges posed by the future explosive growth in computing power demand, computing reuse technology was introduced into the computing power network to reduce service latency and computational resource consumption by reusing the results of computational tasks.Based on this, a service federation-based context-aware online learning algorithm was proposed.First, the reuse index was designed to reduce the extra lookup latency.Then, online learning was performed based on the service federation mechanism to make computational task scheduling decisions according to contextual information and historical experience.The experimental results show that the proposed algorithm outperforms the baseline algorithms in terms of service latency and computational resource consumption. |
| format | Article |
| id | doaj-art-790c83a2ee234a07bd46fc62d9a4013c |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2023-11-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-790c83a2ee234a07bd46fc62d9a4013c2025-01-14T06:28:15ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2023-11-014412914259389603Optimization of task scheduling for computing reuse in computing power networkYunxiao MAZhonghui WUZuyun XULujie ZHONGChangqiao XUTo cope with the challenges posed by the future explosive growth in computing power demand, computing reuse technology was introduced into the computing power network to reduce service latency and computational resource consumption by reusing the results of computational tasks.Based on this, a service federation-based context-aware online learning algorithm was proposed.First, the reuse index was designed to reduce the extra lookup latency.Then, online learning was performed based on the service federation mechanism to make computational task scheduling decisions according to contextual information and historical experience.The experimental results show that the proposed algorithm outperforms the baseline algorithms in terms of service latency and computational resource consumption.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023206/computing power networkcomputing reusetask schedulingonline learning |
| spellingShingle | Yunxiao MA Zhonghui WU Zuyun XU Lujie ZHONG Changqiao XU Optimization of task scheduling for computing reuse in computing power network Tongxin xuebao computing power network computing reuse task scheduling online learning |
| title | Optimization of task scheduling for computing reuse in computing power network |
| title_full | Optimization of task scheduling for computing reuse in computing power network |
| title_fullStr | Optimization of task scheduling for computing reuse in computing power network |
| title_full_unstemmed | Optimization of task scheduling for computing reuse in computing power network |
| title_short | Optimization of task scheduling for computing reuse in computing power network |
| title_sort | optimization of task scheduling for computing reuse in computing power network |
| topic | computing power network computing reuse task scheduling online learning |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023206/ |
| work_keys_str_mv | AT yunxiaoma optimizationoftaskschedulingforcomputingreuseincomputingpowernetwork AT zhonghuiwu optimizationoftaskschedulingforcomputingreuseincomputingpowernetwork AT zuyunxu optimizationoftaskschedulingforcomputingreuseincomputingpowernetwork AT lujiezhong optimizationoftaskschedulingforcomputingreuseincomputingpowernetwork AT changqiaoxu optimizationoftaskschedulingforcomputingreuseincomputingpowernetwork |