Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Summary form only given. MRNet is an infrastructure that provides scalable multicast and data aggregation functionality for distributed tools. While evaluating MRNet's performance and scalability,  learned several important lessons about benchmarking large-scale, distributed tools and middleware. First, automation is essential for a successful benchmarking effort, and should be leveraged whenever possible during the benchmarking process. Second, micro-benchmarking is invaluable not only for establishing the performance of low-level functionality, but also for design verification and debugging. Third, resource management systems need substantial improvements in their support for running tools and applications together. Finally, the most demanding experiments should be attempted early and often during a benchmarking effort to increase the chances of detecting problems with the tool and experimental methodology.
['Philip C. Roth', 'Dorian C. Arnold', 'Barton P. Miller']
I am writing a research paper on a idea Benchmarking the MRNet distributed tool infrastructure: lessons learned
[{"from": "human", "value": "I am writing a research paper on a idea Benchmarking the MRNet distributed tool infrastructure: lessons learned"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Summary form only given. MRNet is an infrastructure that provides scalable multicast and data aggregation functionality for distributed tools. While evaluating MRNet's performance and scalability,  learned several important lessons about benchmarking large-scale, distributed tools and middleware. First, automation is essential for a successful benchmarking effort, and should be leveraged whenever possible during the benchmarking process. Second, micro-benchmarking is invaluable not only for establishing the performance of low-level functionality, but also for design verification and debugging. Third, resource management systems need substantial improvements in their support for running tools and applications together. Finally, the most demanding experiments should be attempted early and often during a benchmarking effort to increase the chances of detecting problems with the tool and experimental methodology."}]