Analyzing I/O Request Characteristics of a Mobile Messenger and Benchmark Framework for Serviceable Cold Storage
- Title
- Analyzing I/O Request Characteristics of a Mobile Messenger and Benchmark Framework for Serviceable Cold Storage
- Author
- 강경태
- Keywords
- Cold storage; large-scale storage systems; energy-efficiency; statistical analysis; benchmark
- Issue Date
- 2017-05
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Citation
- IEEE ACCESS, v. 5, Page. 9797-9811
- Abstract
- Cloud computing systems require massive storage infrastructures, which have significant implications on power bills, carbon emissions, and the logistics of data centers. Various proprietary "cold storage" services, based on spun-down disks or tapes, offer reduced tariffs but also lead to extended times to first access. One way to improve cold-storage systems is to build them on a file system that allows for the I/O patterns of storage devices. We have developed a cold-storage test-bed for mobile messenger services, which takes into account the power consumption of each hard disk in the system. We analyzed a trace of I/O requests from a messenger service and found that they had a strongly skewed Zipfian distribution and that most of the stored data is cold. Current cloud benchmarking tools cannot reproduce this pattern of I/O. Therefore, we have developed a tool for benchmarking cold-storage systems that emulates this type of long-tail distribution and can contribute to reducing the power consumption of mobile messenger services.
- URI
- https://ieeexplore.ieee.org/abstract/document/7921529/https://repository.hanyang.ac.kr/handle/20.500.11754/72256
- ISSN
- 2169-3536
- DOI
- 10.1109/ACCESS.2017.2701839
- Appears in Collections:
- COLLEGE OF COMPUTING[E](소프트웨어융합대학) > COMPUTER SCIENCE(소프트웨어학부) > Articles
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