Cost-optimized cloud storage caching strategy
Tang Bing Zhang Lai
In order to improve the access rate of cloud storage and reduce the cost, a cost-optimized cloud storage caching strategy is proposed. Build a distributed File system locally and use it as a cache of remote cloud storage, using more than one desktop computer in a nearly free LAN environment. When a file is read, it first finds whether it is in the cache, if it exists, reads it directly from the cache, or if it does not, from the remote cloud store. The least Recently Used (LRU) algorithm was used for cache substitution to replace the unpopular data from the cache. Using Amazon Simple Storage Service (S3) as the remote cloud storage service, the prototype system is tested with simple performance. The test results show that the proposed caching strategy can significantly improve the speed of file reading while reducing the cost.
Cost-optimized cloud storage caching strategy