Divisible Load Scheduling with Result Collection on Heterogeneous Systems

Divisible Load Theory (DLT) is an established mathematical framework to study Divisible Load Scheduling (DLS). However, traditional DLT does not comprehensively deal with the scheduling of results back to source (i.e., result collection) on heterogeneous systems. In this paper, the DLSRCHETS (DLS with Result Collection on HETerogeneous Systems) problem is addressed. The few papers to date that have dealt with DLSRCHETS, proposed simplistic LIFO (Last In, First Out) and FIFO (First In, First Out) type of schedules as solutions to DLSRCHETS. In this paper, a new heuristic algorithm, ITERLP, is proposed as a solution to the DLSRCHETS problem. With the help of simulations, it is proved that the performance of ITERLP is significantly better than existing algorithms.

• Type: Conference
• Year: 2008
• Where: IPPS
• Authors: Abhay Ghatpande, Hidenori Nakazato, Hiroshi Watanabe, Olivier Beaumont
• Keywords: Distributed And Parallel Computing, Divisible Load, Divisible Load Scheduling, Heterogeneous Systems, IPPS 2008