A Survey: Load Balancing for Distributed File System

Abstract

Distributed Systems are useful for computation and storage of large scale data at dispersed location. Distributed File System (DFS) is a subsystem of Distributed System. DFS is a means of sharing of storage space and data. Servers, Storage devices and Clients are on dispersed location in DFS. Fault tolerance and Scalability are two main features of distributed file system. Performance of DFS is measured by response time. Apart from response time there are also other dimensions such as transparency in which performance of DFS is viewed. DFS provides file services with scalability, fault tolerance, availability, minimum response time. The truth behind the minimum response time is good design of load balance algorithm. To improve the minimum response time and utilization of all nodes in DFS cluster it is found static as well as dynamic load balance strategies. In this survey paper Self acting, load balancing for parallel file system, Adaptive loading data migration in distributed file system, Load balancing in distributed multi agent computing systems, Self organizing storage clusters for data intensive applications, User centric data migration in networked storage systems are discussed to study the different load balancing schemes. Adaptive loading data migration is one of the latest solution found in literature survey. Self acting, load balancing (SALB) for parallel file system is for load balancing uses online load prediction methods and is distributed architecture.