A new storage system that integrates non-volatile with conventional memory, a harmonized memory system (HMS) for object-based cloud storage, is proposed. The system overcomes IO bottlenecks when managing large amounts of metadata and transaction logs and is composed of five modules. The first, the harmonized memory supervisor, is a translation layer for accessing the harmonized array module. It manages address translation, address mapping by page linking, and wear leveling. The second, the harmonized array module, is divided into dynamic and static areas composed of DRAM, and PCM together with NAND flash memory, respectively. The harmonized memory migration engine and data pattern predictor, which anticipates future data flow, are designed to maximize the effectiveness of the PCM array area. The harmonized logging conductor processes the log between the PCMarray andNANDflash areas. Experimental results show the total execution time and energy consumption of HMS is 5.77 faster and 4.27 times lower, respectively, than the conventional DRAM-HDD model for object-based storage workloads.
Bibliographical noteFunding Information:
Thisworkwas supported by the NationalResearch Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (NRF-2015R1A2A2A01007668)
© Springer Science+Business Media New York 2018.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications