Load Information Sharing Policies in Communication-Intensive Parallel Applications

In this paper, we present a study of information sharing policies used by well-known load balancing systems. Our approach comes from analyzing the performance scalability of: response time (time of reaction against instabilities) and bandwidth, from a communication-intensive application context. We divided the policies into: Centralized or Distributed oriented; and Eager or Lazy load information sharing. We implement them with an asynchronous communication middleware called ProActive. Our experimental results show that Eager Distributed oriented policies have better performance (response time and bandwidth usage).