DiscPOP: Power-aware buffer management for disk accesses

Xiongzi Ge, Dan Feng, David H.C. Du

Research output: Contribution to journalArticlepeer-review

Abstract

Much research has been conducted on energy efficient cache buffer management for disk based storage systems. Some of them use greedy prefetching technique to artificially increase disk idle intervals if there is a large number of known future requests. However, this might result in sub-optimal solution by not exploiting the relationship between I/O access pattern (sequential/random) and application pattern (cpu time required for computing). In a cpu-bound application, by explicitly taking into account the required CPU time it may reduce energy conservation by up to 50% and increase power cycle number by 100% compared to an existing efficient prefetching scheme without this consideration. In this paper, we consider the tradeoff between disk power consumption, performance guarantee and disk reliability all together by proposing a Disk characteristic based Power-Optimal Prefetching (DiscPOP) scheme. Specifically, we make three contributions: (i) A theoretical model is proposed to analyze energy-efficient cache buffer management in disk I/O system and it was formulated as an optimization problem. We have shown it can be solved via an Integer Linear Programming (ILP) technique, we further conduct the following research. (ii) For offline cases, we proposed a Greedy Partition algorithm (GP) to divide the problem into several small ones and solve them separately via the proposed ILP algorithm. (iii) For online cases, we proposed two heuristic algorithms based on Lazy Start Power-Optimal Prefetching (LSPOP) technique. Both of them use simple threshold controlled algorithms to select a prefetching start judiciously and cautiously. We use a trace-driven simulation to evaluate our proposed schemes. The results show GP outperforms the traditional aggressive prefetching by up to 26.9% more disk energy conservation and 17.8% power cycle reduction. The online heuristic algorithms can also improve disk energy saving by up to 20.5% and reduce power cycle by 14.3%.

Original languageEnglish (US)
Pages (from-to)58-69
Number of pages12
JournalSustainable Computing: Informatics and Systems
Volume3
Issue number2
DOIs
StatePublished - Jun 2013

Bibliographical note

Funding Information:
This work was partially supported by grants from NSF (NSF Awards: 0960833 and 0934396), the National Basic Research 973 Program of China under Grant No. 2011CB302301 , NSFC No. 61025008 , 60933002 , 60873028 , Changjiang Innovative Group of Education of China No. IRT0725 .

Keywords

  • Buffer management
  • Disk energy
  • Energy efficient
  • Performance guarantee
  • Prefetching

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