CloudOptimizer: Multi-Tenancy for I/O-Bound OLAP Workloads

Consolidation of multiple databases on the same server allows service providers to save significant resources because many production database servers are often under-utilized. Recent research investigates the problem of minimizing the number of servers required to host a set of tenants when the working sets of tenants are kept in main memory (e.g., in-memory OLAP workloads, or OLTP workloads), thus the memory assigned to each tenant, as well as the I/O bandwidth and CPU time, are all dictated by the working set size of the tenant.

Provided by: Association for Computing Machinery Topic: Cloud Date Added: Mar 2013 Format: PDF

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