Cloud Based Multi-Robot Task Scheduling Using PMW Algorithm

被引:6
作者
Sharma, Kaushlendra [1 ]
Hassan, Md. Mehedi [2 ]
Pandey, Saroj Kumar [3 ]
Saini, Mimansha [4 ]
Doriya, Rajesh [4 ]
Ojha, Manoj Kumar [5 ]
Sinha, Anurag [6 ]
Kaushal, Chetna [7 ]
Bairagi, Anupam Kumar [2 ]
Soliman, Naglaa F. [8 ]
机构
[1] Indian Inst Informat Technol, Dept Comp Sci & Engn, Nagpur 441108, Maharashtra, India
[2] Khulna Univ, Comp Sci & Engn Discipline, Khulna 9208, Bangladesh
[3] GLA Univ, Dept Comp Engn & Applicat, Mathura 281406, India
[4] Natl Inst Technol, Raipur 492010, India
[5] KR Mangalam Univ, Gurugram 122103, India
[6] IGNOU, Sch Comp & Informat Sci, New Delhi 110068, India
[7] Chitkara Univ, Chitkara Univ Inst Engn & Technol, Rajpura 140401, Punjab, India
[8] Princess Nourah Bint AbdulRahman Univ, Coll Comp & Informat Sci, Dept Informat Technol, POB 8442, Riyadh 11671, Saudi Arabia
来源
IEEE ACCESS | 2023年 / 11卷
关键词
AWS; load balancing; cloud computing; PMW; multi-robot; scheduling; ROBOTS; HEURISTICS; ALLOCATION; STRATEGY;
D O I
10.1109/ACCESS.2023.3344459
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Scheduling of robots is one of the imperative assignment in a multi robot system. Scheduling is prerequisite when there is a multiple task need to be assigned to multi robot in an arranged manner. There is a growing need for robots to perform complex tasks autonomously. Multi-robot environment becomes complex as there are multiple factors need to be addressed simultaneously which require fast computation and more space. Using cloud computing platform could be one of the optimal solution for this problem. This paper presents the use of cloud computing platform for implementing the proposed Periodic Min-Max Algorithm (PMW) for multi robot task scheduling. Amazon web service (AWS) platform is utilized for deploying the algorithm for multi robot task scheduling. The task performed by the robots is considered as a single service in context with cloud platform and it withdraw an advantage when the number of services increases with time. Time requirement to complete the task and the load balancing parameter are analysed using the proposed approach and is compared with other relevant work. The results presented in the paper clearly shows the performance improvement in both the parameters. There is an improvement of about 3-7% in both the parameters and are reported in the paper. The paper also emphasize on the deployment of cloud computing platform for the service robots. Time completion factor is analysed and reported in the paper to proof the advantage of using cloud platform for the service robots. The novel way of using the algorithm with cloud server seeks many advantage are also observed, analysed and presented in the paper.
引用
收藏
页码:146003 / 146013
页数:11
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