
IRMM: An Integrated Resource Management Model for Grid Computing
Author(s) -
Makhan Singh*
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c5804.098319
Subject(s) - computer science , resource management system , grid computing , reservation , grid , scalability , distributed computing , resource management (computing) , drmaa , database , scheduling (production processes) , human resource management system , semantic grid , resource allocation , resource (disambiguation) , computer network , knowledge management , world wide web , human resource management , semantic web , operations management , geometry , mathematics , economics
Grid computing is a collection of heterogeneous systems or heterogeneous objects that are geographically distributed over a network. Resource management is a process in which various activities like allocation of resources and scheduling are performed for handling issues like load balancing, reliability, scalability, maximum, throughput, minimum expectation time and security. There are several factors that make resource management difficult as different system may have different requirements, properties, conditions and different access and cost models. Resource management in Grid is the method of identifying requirements, finding corresponding resources to the applications, allocating those matching resources, scheduling and monitoring. In Grid resource management resource broker plays the very important role. Users communicate with a resource broker to access the grid information. Resource broker discover the resource that are available and negotiates with their owners or their agents to get the reservation of resources. Number of approaches exists through which one can develop grid resource management systems. In this paper a new architectural model has been implemented for grid resource management which is based on the characteristics of both the Economical model and Hierarchical model.