A Taxonomy and Survey of Grid Resource Planning and Reservation Systems for Grid Enabled Analysis Environment

The concept of coupling geographically distributed resources for solving large scale problems is becoming increasingly popular forming what is popularly called grid computing. Management of resources in the Grid environment becomes complex as the resources are geographically distributed , heterogeneous in nature and owned by different individuals and organizations each having their own resource management policies and different access and cost models. There have been many projects that have designed and implemented the resource management systems with a variety of architectures and services. In this paper we have presented the general requirements that a Resource Management system should satisfy. The taxonomy has also been defined based on which survey of resource management systems in different existing Grid projects has been conducted to identify the key areas where these systems lack the desired functionality. 1.0 Introduction Today, Grid users have to transform their high-level requirement into a workflow of jobs that can be submitted for execution on the Grid. Each job must specify which files contain the code to be run, selected by mapping the high level requirements to available application components and selecting a physical file from the many available replicas of the code in various locations. The job also specifies the location (or host) where it should be run, based on the code requirements (e.g., code is compiled for MPI, parallelized to run on tightly-coupled architecture, preferably with more than 5 nodes) and on user access policies to computing and storage resources. An executable workflow also includes jobs to move input data and application component files to the execution location. Current Grid management systems allow the discovery of the available resources and data location but the users have to carry out all these steps manually. A resource planning and reservation system is thus required which can automate the whole process of work flow generation.