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Cache performance has been critical for large scale systems. Until now, many multilevel cache management policies LRU-K, PROMOTE, DEMOTE have been developed but still there is performance issue. Many approaches have been proposed to reduce the gap between different levels such as hint-based multilevel cache. Some approaches like demote or promote are based on the latest cache history information, which is inadequate for applications where there are regular demote and promote operations occur. The major drawback of these policies is selecting a victim. As the performance gap between CPU and main memory speeds widens, it makes memory subsystem design more critical. Caches are an important part of modern memory hierarchies. Cache performance has been critical for large scale systems. As the cache size is limited it should be properly utilized. After the cache block is used by an application it should be moved from cache to main memory so that another block required by other application can use its space. As the block which is moved from cache memory to main memory may be required in future, so it is kept in lower level cache in the cache hierarchy.
About the author
Manish Motghare is born in Nagpur, Maharashtra, India. He completed his masters in computer science and Engineering and currently pursuing phd in machine learning. He has published 16 papers in IEEE conferences and filed patent in Vehicle telematics and Internet of things.
