Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Applications such as multimedia, date mining- and scientific computing may exhibit sophisticated data access patterns that are different from one application to another. I/O prefetching is considered to be effective in improving I/O performance. Hover, the efficiency depends on identification of patterns for future I/O accesses, which is difficult to achieve in multi-application environment.  presents the design, implementation, and evaluation of an I/O feature-based prefetching strategy (FFP) for multiple application systems. The key idea of FFP is to extract I/O features from the collected file access information to guide prefetching.  first analyzed the I/O access patterns and designed a simple and effective feature notation to represent patterns. Then  developed a toolkit to generate and update I/O features automatically. Finally,  designed and implemented an I/O feature-based file prefetching thread library for the multi-application environment. Experimental results show that the proposed prefetching mechanism (FFP) improves I/O performance significantly for applications with complex I/O data access patterns.
['Haiyan Hu', 'Yi Liu', 'Depei Qian']
I am writing a research paper on a idea I/O Feature-based File Prefetching for Multi-Applications
[{"from": "human", "value": "I am writing a research paper on a idea I/O Feature-based File Prefetching for Multi-Applications"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Applications such as multimedia, date mining- and scientific computing may exhibit sophisticated data access patterns that are different from one application to another. I/O prefetching is considered to be effective in improving I/O performance. Hover, the efficiency depends on identification of patterns for future I/O accesses, which is difficult to achieve in multi-application environment.  presents the design, implementation, and evaluation of an I/O feature-based prefetching strategy (FFP) for multiple application systems. The key idea of FFP is to extract I/O features from the collected file access information to guide prefetching.  first analyzed the I/O access patterns and designed a simple and effective feature notation to represent patterns. Then  developed a toolkit to generate and update I/O features automatically. Finally,  designed and implemented an I/O feature-based file prefetching thread library for the multi-application environment. Experimental results show that the proposed prefetching mechanism (FFP) improves I/O performance significantly for applications with complex I/O data access patterns."}]