Causal-ordered communication of grid computing on Internet

Grid computing is a state-of-the-art parallel computing technology which enables the worldwide computers to dynamically share their computing powers and resource to each other. The Grid takes advantage of Internet as an universal communication platform to carry messages. Basically, Internet doesn´t guarantee loss-free and ordered transmission, hence, the Grid should keep the cause and effect of events by itself for the correct order of command invocation in the remote hosts. The ordering issue arises when the messages travel across the networks with unpredictable delay. Recent researches study the security and resource control issues but doesn´t study the requirements of communication platform in the Grid. In this paper, we propose a Causal Ordered Grid (COG) architecture and implement it to study the performance issues when the Grid is built over worldwide networks. The COG provides a novel service model to the applications with time-sensitive and causal ordering transportation. From our experiments, the design of the Grid middleware should use a causal-ordered, time-sensitive transportation rather than TCP. Our research will be beneficial to the improvement of the Grid Computing and can provide wealthy empirical results for the designer.