A new task scheduling strategy based on improved ant colony algorithm in IaaS layer

Liu, Li; Luo, Taiyu; Du, Y. Y.

doi:10.1109/cits.2019.8862055

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…The parameter settings of the metaheuristic algorithm are shown in Table 3. The parameter values of the ant colony optimization algorithm (MOACO) are based on [26,28]. The MOACO has strong robustness and the ability to search for better solutions in solving performance, and is easy to implement in parallel.…”

Section: Parameter Settingmentioning

confidence: 99%

A Hybrid Multi-Objective Bat Algorithm for Solving Cloud Computing Resource Scheduling Problems

Zheng

Wang

2021

Sustainability

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To improve the service quality of cloud computing, and aiming at the characteristics of resource scheduling optimization problems, this paper proposes a hybrid multi-objective bat algorithm. To prevent the algorithm from falling into a local minimum, the bat population is classified. The back-propagation algorithm based on the mean square error and the conjugate gradient method is used to increase the loudness in the search direction and the pulse emission rate. In addition, the random walk based on lévy flight is also used to improve the optimal solution, thereby improving the algorithm’s global search capability. The simulation results prove that the multi-objective bat algorithm proposed in this paper is superior to the multi-objective ant colony optimization algorithm, genetic algorithm, particle swarm algorithm, and cuckoo search algorithm in terms of makespan, degree of imbalance, and throughput. The cost is also slightly better than the multi-objective ant colony optimization algorithm and the multi-objective genetic algorithm.

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Section: Parameter Settingmentioning

confidence: 99%

A Hybrid Multi-Objective Bat Algorithm for Solving Cloud Computing Resource Scheduling Problems

Zheng

Wang

2021

Sustainability

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“…The term "cloud computing" refers to a fully centralized, scalable, on-demand computing network with distributed virtual infrastructure, storage, and pay-per-use services [1][2] [3]. Resource management in infrastructure as a service (IaaS) is one of the most important challenges of cloud computing especially cloud task scheduling.…”

Section: Introductionmentioning

confidence: 99%

Current Perspective of Symbiotic Organisms Search Technique in Cloud Computing Environment: A Review

Zubair¹,

Razak²,

Ngadi³

et al. 2021

IJACSA

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Nature-inspired algorithms in computer science and engineering are algorithms that take their inspiration from living things and imitate their actions in order to construct functional models. The SOS algorithm (symbiotic organisms search) is a new promising metaheuristic algorithm. It is based on the symbiotic relationship that exists between different species in an ecosystem. Organisms develop symbiotic bonds like mutualism, commensalism, and parasitism to survive in their environment. Standard SOS has since been modified several times, either by hybridization or as better versions of the original algorithm. Most of these modifications came from engineering construction works and other discipline like medicine and finance. However, little improvement on the standard SOS has been noticed on its application in cloud computing environment, especially cloud task scheduling. As a result, this paper provides an overview of SOS applications in task scheduling problem and suggest a new enhanced method for better performance of the technique in terms of fast convergence speed.

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A Multi-Objective Task Scheduling Method based on ACO in Cloud Environment

Gao

Liu

Huang

2020

2020 IEEE 6th International Conference on Computer and Communications (ICCC)

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A new task scheduling strategy based on improved ant colony algorithm in IaaS layer

Cited by 3 publications

References 7 publications

A Hybrid Multi-Objective Bat Algorithm for Solving Cloud Computing Resource Scheduling Problems

A Hybrid Multi-Objective Bat Algorithm for Solving Cloud Computing Resource Scheduling Problems

Current Perspective of Symbiotic Organisms Search Technique in Cloud Computing Environment: A Review

A Multi-Objective Task Scheduling Method based on ACO in Cloud Environment

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