Optimized dependent file fetch middleware in transparent computing platform

A middleware is proposed to optimize file fetch process in transparent computing (TC) platform. A single TC server will receive file requests of large scale distributed operating systems, applications or user data from multiple clients. In consideration of limited size of server's memory and the dependency among files, this work proposes a middleware to provide a file fetch sequence satisfying: (1) each client, upon receiving any file, is able to directly load it without waiting for pre-required files (i.e. “receive and load”); and (2) the server is able to achieve optimization in reducing overall file fetch time cost. The paper firstly addresses the features of valid file fetch sequence generating problem in the middleware. The method solves the concurrency control problem when the file fetch is required for the multiple clients. Then it explores the methods to determine time cost for file fetch sequence. Based on the established model, we propose a heuristic and greedy (HG) algorithm. According to the simulation results, we conclude that HG algorithm is able to reduce overall file fetch time roughly by 50% in the best cases compared with the time cost of traditional approaches.