University of Magdeburg
Power consumption is an increasingly impressing concern for data servers as it directly affects running costs and system reliability. Prior studies have shown most memory space on data servers are used for buffer caching and thus cache replacement becomes critical. This paper investigates the tradeoff between these two interacting factors and proposes three energy-aware buffer cache replacement algorithm. On a cache miss for a new block b in a file f, it evicts an victim block from the most recently accessed memory chip. Simulation results based real-world TPC-R I/O trace show that the authors' algorithm can save up to 12.2% energy with marginal degradation in hit rates.