Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A key challenge in client-assisted content delivery is determining how to allocate limited server bandwidth across a large number of files being concurrently served so as to optimize global performance and cost objectives. ,  present a comprehensive experimental evaluation of strategies to control server bandwidth allocation. As part of this effort,  introduce a new model-based control approach that relies on an accurate yet concise “cheat sheet” based on a priori offline measurement to predict swarm performance as a function of the server bandwidth and other swarm parameters. Our evaluation using a prototype system, SwarmServer, instantiating static, dynamic, and model-based controllers shows that static and dynamic controllers can both be suboptimal due to different reasons. In comparison, a model-based approach consistently outperforms both static and dynamic approaches provided it has access to detailed measurements in the regime of interest. Nevertheless, the broad applicability of a model-based approach may be limited in practice because of the overhead of developing and maintaining a comprehensive measurement-based model of swarm performance in each regime of interest.
['Abhigyan Sharma', 'Arun Venkataramani', 'Antonio Augusto de Aragão Rocha']
I am writing a research paper on a idea Pros & cons of model-based bandwidth control for client-assisted content delivery
[{"from": "human", "value": "I am writing a research paper on a idea Pros & cons of model-based bandwidth control for client-assisted content delivery"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A key challenge in client-assisted content delivery is determining how to allocate limited server bandwidth across a large number of files being concurrently served so as to optimize global performance and cost objectives. ,  present a comprehensive experimental evaluation of strategies to control server bandwidth allocation. As part of this effort,  introduce a new model-based control approach that relies on an accurate yet concise \u201ccheat sheet\u201d based on a priori offline measurement to predict swarm performance as a function of the server bandwidth and other swarm parameters. Our evaluation using a prototype system, SwarmServer, instantiating static, dynamic, and model-based controllers shows that static and dynamic controllers can both be suboptimal due to different reasons. In comparison, a model-based approach consistently outperforms both static and dynamic approaches provided it has access to detailed measurements in the regime of interest. Nevertheless, the broad applicability of a model-based approach may be limited in practice because of the overhead of developing and maintaining a comprehensive measurement-based model of swarm performance in each regime of interest."}]