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

doi:10.1007/s11227-019-02816-7

	An enhancement of task scheduling in cloud computing based on imperialist competitive algorithm and firefly algorithm
	Kashikolaei, Seyedeh Monireh Ggasemnezhad 1; Hosseinabadi, Ali Asghar Rahmani 2; Saemi, Behzad 3; Shareh, Morteza Babazadeh 4; Sangaiah, Arun Kumar 5; Bian, Gui-Bin6
发表期刊	JOURNAL OF SUPERCOMPUTING
ISSN	0920-8542
	2020-08-01
卷号	76 期号:8 页码:6302-6329
通讯作者	Bian, Gui-Bin(guibin.bian@ia.ac.cn)
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.
关键词	Cloud computing Task scheduling Load balancing Imperialist competitive algorithm Firefly algorithm
DOI	10.1007/s11227-019-02816-7
关键词[WOS]	PERFORMANCE ; SYSTEMS
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000549632900035
出版者	SPRINGER
七大方向——子方向分类	多模态智能
引用统计	被引频次：47[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/40170
专题	复杂系统认知与决策实验室_先进机器人
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
通讯作者单位	中国科学院自动化研究所
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.