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A Proposed Architecture for Local-Host and AWS with Multiagent System

Jaspreet Chawla1,*, Anil Kr Ahlawat2

1 Department of Computer Science & Engineering, JSS Academy of Technical Education, Noida, Affiliated to AKTU, Lucknow, 201301, India
2 Department of Computer Science & Engineering, KIET Group of Institutions, Ghaziabad, Affiliated to AKTU, Lucknow, 201001, India

* Corresponding Author: Jaspreet Chawla. Email: email

Intelligent Automation & Soft Computing 2023, 36(3), 2787-2802.


Cloud computing has become one of the leading technologies in the world today. The benefits of cloud computing affect end users directly. There are several cloud computing frameworks, and each has ways of monitoring and providing resources. Cloud computing eliminates customer requirements such as expensive system configuration and massive infrastructure while improving dependability and scalability. From the user’s perspective, cloud computing makes it easy to upload multiagents and operate on different web services. In this paper, the authors used a restful web service and an agent system to discuss, deployments, and analysis of load performance parameters like memory use, central processing unit (CPU) utilization, network latency, etc., both on localhost and an Amazon Web Service Elastic Cloud Computing (AWS-EC2) server. The Java Agent Development Environment (JADE) tool has been used to propose an architecture and conduct a comparative study on both local and remote servers. JADE is an open-source tool for maintaining applications on AWS infrastructure. The focus of the study should be to reduce the complexity and time of load performance parameters by using an agent system on a cloud server instead of establishing a massive infrastructure on a local system, even for a small application.


Cite This Article

J. Chawla and A. K. Ahlawat, "A proposed architecture for local-host and aws with multiagent system," Intelligent Automation & Soft Computing, vol. 36, no.3, pp. 2787–2802, 2023.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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