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The in-memory cache system is an important component in a cloud for the dataaccess performance. As the tenants may have different performance goals fordata access depending on the nature of their tasks, effectively managing thememory cache is a crucial concern in such a shared computing environment. Twoextreme methods for managing the memory cache are unlimited sharing andcomplete isolation, both of which would be inefficient with the expensivestorage complexity to meet the per-tenant performance requirement. In thispaper, we present a new cache model that incorporates global caching (based onunlimited sharing) and static caching (offering complete isolation) for aprivate cloud, in which it is critical to offer the guaranteed performancewhile minimizing the operating cost. This paper also presents a cache insertionalgorithm tailored to the proposed cache model. From an extensive set ofexperiments conducted on the simulation and emulation settings, the resultsconfirm the validity of the presented cache architecture and insertionalgorithm showing the optimized use of the cache space for meeting theper-tenant performance requirement.

A Hybrid Cache Architecture for Meeting Per-Tenant Performance Goals in a Private Cloud