Review on Concurrent Data Transfer in Grid Computing

Abstract

Current trend of network-based multimedia storage, distributed scientific simulations and distributed geographic information system applications are require both compute intensive and data intensive. This is unavoidable since grid and cloud computing technologies are more promising and demanding because of its scalability and performance. The greatest challenge to develop infrastructure services for grid and cloud computing is heterogenity. This heterogenity includes machine architecture, operating system and network resources. Most common solution to increase processing power and storage is by adding more node and storage units to the cluster and also adding more network interface and connection to increase the total communication bandwidth among the cluster. In this paper, we reviewed available solutions on concurrent data transfer in Grid Computing in order to support data intensive application in grid computing by utilizing available multiple network interfaces. We organized our review based on solutions based on three different layers: Data-Link, Transport and Middleware.