Improvisioning Hadoop in Globus Toolkit

This Grid is a computing centric distributed environment that integrates computing, storage and other resources to enable execution of applications that cannot run on a single resource. The vision of grid computing is that, every users can gain access to the computing resources inspite of its location or underlying technologies. Resource management and scheduling plays a critical role in achieving high utilization of resources in grid computing environments. The goal of scheduling is to achieve maximum throughput with available computing resources. Condor-G is a High-throughput scheduler supported by Grid Resource Allocation Management (GRAM) component of Globus. It uses non-dedicated resources to schedule the jobs. Processing huge amounts of data on large and scalable computational infrastructures is gaining increasing importance. Apache Hadoop, a data centric framework allows distributed processing of large sets of data across clusters of computers offering local computation, storage and failure handling thereby delivering a highly available service. In this paper, we have proposed a concept of Improvisioning Hadoop in Globus Toolkit, for efficient usage of resources, job management (scheduling) and faster execution. The performance of the proposed toolkit will improve in-terms of Job Execution, Resource Handling and Cluster Formation. electronic document is a “live” template and already defines the components of your paper [title, text, heads, etc.] in its style sheet.