Particle Swarm Optimization with Enhanced Neighborhood Search for Task Scheduling in Cloud Computing

被引：2

作者：

Al Shamaa, Saleh ^{[1
]}

Harrabida, Nabil ^{[1
]}

Shi, Wei ^{[1
]}

St-Hilaire, Marc ^{[1
]}

机构：

[1] Carleton Univ, Sch Informat Technol, Ottawa, ON, Canada

来源：

2022 IEEE CLOUD SUMMIT | 2022年

关键词：

Cloud; Task scheduling; Particle swarm optimization (PSO); Neighborhood search strategy; Makespan; Energy consumption; Degree of imbalance;

D O I：

10.1109/CloudSummit54781.2022.00011

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

引用

页码：31 / 37

页数：7

共 10 条

[1] A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments [J].

Abualigah, Laith ;

Diabat, Ali .

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2021, 24 (01) :205-223

[2] Opposition-based learning inspired particle swarm optimization (OPSO) scheme for task scheduling problem in cloud computing [J].

Agarwal, Mohit ;

Srivastava, Gur Mauj Saran .

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2021, 12 (10) :9855-9875

[3] Cost optimized Hybrid Genetic-Gravitational Search Algorithm for load scheduling in Cloud Computing [J].

Chaudhary, Divya ;

Kumar, Bijendra .

APPLIED SOFT COMPUTING, 2019, 83

[4] Task Scheduling in Cloud Computing based on Meta-heuristics: Review, Taxonomy, Open Challenges, and Future Trends [J].

Houssein, Essam H. ;

Gad, Ahmed G. ;

Wazery, Yaser M. ;

Suganthan, Ponnuthurai Nagaratnam .

SWARM AND EVOLUTIONARY COMPUTATION, 2021, 62

[5]

Jana Bappaditya, 2019, Soft Computing: Theories and Applications. Proceedings of SoCTA 2017. Advances in Intelligent Systems and Computing (AISC 742), P525, DOI 10.1007/978-981-13-0589-4_49

[6]

Kennedy J, 1995, 1995 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS PROCEEDINGS, VOLS 1-6, P1942, DOI 10.1109/icnn.1995.488968

[7] A hybrid multi-objective artificial bee colony algorithm for flexible task scheduling problems in cloud computing system [J].

Li, Jun-qing ;

Han, Yun-qi .

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2020, 23 (04) :2483-2499

[8] Cloud Task Scheduling Based on Chaotic Particle Swarm Optimization Algorithm [J].

Li Yingqiu ;

Li Shuhua ;

Gao Shoubo .

2016 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA & SMART CITY (ICITBS), 2017, :493-496

[9]

Luo Z., 2019, 2019 15 INT C SEMANT

[10] Hybrid task scheduling strategy for cloud computing by modified particle swarm optimization and fuzzy theory [J].

Mansouri, Najme ;

Zade, Behnam Mohammad Hasani ;

Javidi, Mohammad Masoud .

COMPUTERS & INDUSTRIAL ENGINEERING, 2019, 130 :597-633

← 1 →