An enhancement of task scheduling in cloud computing based on imperialist competitive algorithm and firefly algorithm
文献类型：期刊论文
| 作者 | Kashikolaei, Seyedeh Monireh Ggasemnezhad1; Hosseinabadi, Ali Asghar Rahmani2; Saemi, Behzad3; Shareh, Morteza Babazadeh4; Sangaiah, Arun Kumar5; Bian, Gui-Bin6
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| 刊名 | JOURNAL OF SUPERCOMPUTING
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| 出版日期 | 2020-08-01 |
| 卷号 | 76期号:8页码:6302-6329 |
| 关键词 | Cloud computing Task scheduling Load balancing Imperialist competitive algorithm Firefly algorithm |
| ISSN号 | 0920-8542 |
| DOI | 10.1007/s11227-019-02816-7 |
| 通讯作者 | Bian, Gui-Bin(guibin.bian@ia.ac.cn) |
| 英文摘要 | Cloud computing is an Internet-based approach in which all applications and files are hosted in a cloud consisting of thousands of computers that are linked in complex ways. The major challenge of cloud data centers is to show how the millions of requests of final users are correctly and effectively being investigated and serviced. Load-balancing techniques are needed to increase the flexibility and scalability of cloud data centers. Load-balancing technique is one of the most significant issues in the distributed computing system. Since there are large-scale resources and a lot of user demands in cloud computing load-balancing problem, it could be the main reason that many researchers considered and addressed that as an NP-hard problem. Therefore, some heuristics algorithms such as imperialist competitive algorithm (ICA) and firefly algorithm (FA) had been proposed by previous researchers to solve the mentioned problem. Although ICA and FA could get an approximate satisfying result in solving the cloud computing load-balancing problem, obtaining the better result means to make improvements in makespan, CPU time, load balancing, stability and planning speed. The motivation of this research is proposing an intelligent meta-heuristic algorithm based on the combination of ICA and FA to get the mentioned required result. Local search ability of FA can reinforce ICA algorithm. The obtained result of this research showed dramatic improvements in makespan, CPU time, load balancing, stability and planning speed. |
| WOS关键词 | PERFORMANCE ; SYSTEMS |
| WOS研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000549632900035 |
| 出版者 | SPRINGER |
| 源URL | [http://ir.ia.ac.cn/handle/173211/40169]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
| 通讯作者 | Bian, Gui-Bin |
| 作者单位 | 1.Islamic Azad Univ, Dept Comp Engn, Babol Branch, Babol Sar, Iran 2.Islamic Azad Univ, Ayatollah Amoli Branch, Young Researchers & Elite Club, Amol, Iran 3.Kavosh Inst Higher Educ, Comp Dept, Mahmood Abad, Mazandaran, Iran 4.Islamic Azad Univ, Dept Comp, Sci & Res Branch, Tehran, Iran 5.Vellore Inst Technol, Sch Comp Sci & Engn, Vellore 632014, Tamil Nadu, India 6.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Kashikolaei, Seyedeh Monireh Ggasemnezhad,Hosseinabadi, Ali Asghar Rahmani,Saemi, Behzad,et al. An enhancement of task scheduling in cloud computing based on imperialist competitive algorithm and firefly algorithm[J]. JOURNAL OF SUPERCOMPUTING,2020,76(8):6302-6329. |
| APA | Kashikolaei, Seyedeh Monireh Ggasemnezhad,Hosseinabadi, Ali Asghar Rahmani,Saemi, Behzad,Shareh, Morteza Babazadeh,Sangaiah, Arun Kumar,&Bian, Gui-Bin.(2020).An enhancement of task scheduling in cloud computing based on imperialist competitive algorithm and firefly algorithm.JOURNAL OF SUPERCOMPUTING,76(8),6302-6329. |
| MLA | Kashikolaei, Seyedeh Monireh Ggasemnezhad,et al."An enhancement of task scheduling in cloud computing based on imperialist competitive algorithm and firefly algorithm".JOURNAL OF SUPERCOMPUTING 76.8(2020):6302-6329. |
入库方式： OAI收割
来源：自动化研究所
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