Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: High-performance b sites rely on b server 'farms', hundreds of computers serving the same content, for scalability, reliability, and low-latency access to Internet content. Deploying these scalable farms typically requires the por of distributed or clustered file systems. Building b server farms on file systems complements hierarchical proxy caching. Proxy caching replicates b content throughout the Internet, thereby reducing latency from network delays and off-loading traffic from the primary servers. b server farms scale resources at a single site, reducing latency from queuing delays. Both technologies are essential when building a high-performance infrastructure for content delivery. The authors present a cache consistency model and locking protocol customized for file systems that are used as scalable infrastructure for b server farms. The protocol takes advantage of the b's relaxed consistency semantics to reduce latencies and network overhead. Our hybrid approach preserves strong consistency for concurrent write sharing with time-based consistency and push caching for readers (b servers). Using simulation,  compare our approach to the Andrew file system and the sequential consistency file system protocols  propose to replace.
['Randal C. Burns', 'Robert M. Rees', 'Darrell D. E. Long']
I am writing a research paper on a idea Efficient data distribution in a Web server farm
[{"from": "human", "value": "I am writing a research paper on a idea Efficient data distribution in a Web server farm"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: High-performance b sites rely on b server 'farms', hundreds of computers serving the same content, for scalability, reliability, and low-latency access to Internet content. Deploying these scalable farms typically requires the por of distributed or clustered file systems. Building b server farms on file systems complements hierarchical proxy caching. Proxy caching replicates b content throughout the Internet, thereby reducing latency from network delays and off-loading traffic from the primary servers. b server farms scale resources at a single site, reducing latency from queuing delays. Both technologies are essential when building a high-performance infrastructure for content delivery. The authors present a cache consistency model and locking protocol customized for file systems that are used as scalable infrastructure for b server farms. The protocol takes advantage of the b's relaxed consistency semantics to reduce latencies and network overhead. Our hybrid approach preserves strong consistency for concurrent write sharing with time-based consistency and push caching for readers (b servers). Using simulation,  compare our approach to the Andrew file system and the sequential consistency file system protocols  propose to replace."}]