A Multi-agent Framework for Performance Tuning in Distributed Environment

TL;DR

This paper introduces a multi-agent framework designed to optimize application performance in distributed environments through resource management, monitoring, local tuning, and job migration, with an emphasis on implementation details.

Contribution

It proposes a novel multi-agent framework for performance tuning in distributed systems, including resource brokering, monitoring, and job migration functionalities.

Findings

Framework supports resource management and performance monitoring.

Job migration effectively improves application performance.

Implementation demonstrates practical viability of the approach.

Abstract

This paper presents the overall design of a multi-agent framework for tuning the performance of an application executing in a distributed environment. The multi-agent framework provides services like resource brokering, analyzing performance monitoring data, local tuning and also rescheduling in case of any performance problem on a specific resource provider. The paper also briefly describes the implementation of some part of the framework. In particular, job migration on the basis of performance monitoring data is particularly highlighted in this paper.