Device-aware cache management based on adaptive replacement

Authors:
Young-Jin Kim;Aldhino Anggorosesar
Affiliations:
Department of Computer Science and Engineering, SunMoon University, Asan, Republic of Korea;Department of Computer Science and Engineering, SunMoon University, Asan, Republic of Korea
Venue:
SEPADS'10 Proceedings of the 9th WSEAS international conference on Software engineering, parallel and distributed systems
Year:
2010

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Abstract

Heterogeneous devices have been adopted widely in mobile storage systems because a combination of such devices can supply a synergistically useful storage solution by taking advantage of each device. In heterogeneous storage systems there have been several researches for enhancing I/O performance by devising proper buffer cache management algorithms. This paper presents a novel device-aware buffer cache management algorithm by employing adaptive cache replacement called ARC, considering both I/O cost per device and workload patterns in mobile computing systems with a heterogeneous storage pair of a hard disk and a NAND flash memory. The proposed algorithm seeks to enhance an existing device-aware cache partitioning technique. Extensive simulations show that the proposed algorithm reduces the total I/O cost over the existing buffer cache algorithms on typical mobile traces.