An enhancement of task scheduling in cloud computing based on imperialist competitive algorithm and firefly algorithm

doi:10.1007/s11227-019-02816-7

CORC > 自动化研究所 > 中国科学院自动化研究所 > 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

	An enhancement of task scheduling in cloud computing based on imperialist competitive algorithm and firefly algorithm
	Kashikolaei, Seyedeh Monireh Ggasemnezhad 2; Hosseinabadi, Ali Asghar Rahmani 1; Saemi, Behzad 5; Shareh, Morteza Babazadeh 4; Sangaiah, Arun Kumar 3; Bian, Gui-Bin 6
刊名	JOURNAL OF SUPERCOMPUTING
	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
出版者	SPRINGER
WOS记录号	WOS:000549632900035
内容类型	期刊论文
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, Ayatollah Amoli Branch, Young Researchers & Elite Club, Amol, Iran 2.Islamic Azad Univ, Dept Comp Engn, Babol Branch, Babol Sar, Iran 3.Vellore Inst Technol, Sch Comp Sci & Engn, Vellore 632014, Tamil Nadu, India 4.Islamic Azad Univ, Dept Comp, Sci & Res Branch, Tehran, Iran 5.Kavosh Inst Higher Educ, Comp Dept, Mahmood Abad, Mazandaran, Iran 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.