Analyzing I/O Request Characteristics of a Mobile Messenger and Benchmark Framework for Serviceable Cold Storage
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 al...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2017-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/7921529/ |
| _version_ | 1818876808629583872 |
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| author | Jaemyoun Lee Chang Song Chanyoung Park Soyeun Kim Kyungtae Kang |
| author_facet | Jaemyoun Lee Chang Song Chanyoung Park Soyeun Kim Kyungtae Kang |
| author_sort | Jaemyoun Lee |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-19T13:48:17Z |
| format | Article |
| id | doaj.art-1296b031e5bd40a58376f9c3fefda80d |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T13:48:17Z |
| publishDate | 2017-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-1296b031e5bd40a58376f9c3fefda80d2022-12-21T20:18:49ZengIEEEIEEE Access2169-35362017-01-0159797981110.1109/ACCESS.2017.27018397921529Analyzing I/O Request Characteristics of a Mobile Messenger and Benchmark Framework for Serviceable Cold StorageJaemyoun Lee0https://orcid.org/0000-0002-9044-4208Chang Song1Chanyoung Park2Soyeun Kim3Kyungtae Kang4Department of Computer Science and Engineering, Hanyang University, Ansan, South KoreaNAVER Labs Corporation, Seongnam, South KoreaDepartment of Computer Science and Engineering, Hanyang University, Ansan, South KoreaSchool of Business Management, Hongik University, Sejong, South KoreaDepartment of Computer Science and Engineering, Hanyang University, Ansan, South KoreaCloud 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.https://ieeexplore.ieee.org/document/7921529/Cold storagelarge-scale storage systemsenergy-efficiencystatistical analysisbenchmark |
| spellingShingle | Jaemyoun Lee Chang Song Chanyoung Park Soyeun Kim Kyungtae Kang Analyzing I/O Request Characteristics of a Mobile Messenger and Benchmark Framework for Serviceable Cold Storage IEEE Access Cold storage large-scale storage systems energy-efficiency statistical analysis benchmark |
| title | Analyzing I/O Request Characteristics of a Mobile Messenger and Benchmark Framework for Serviceable Cold Storage |
| title_full | Analyzing I/O Request Characteristics of a Mobile Messenger and Benchmark Framework for Serviceable Cold Storage |
| title_fullStr | Analyzing I/O Request Characteristics of a Mobile Messenger and Benchmark Framework for Serviceable Cold Storage |
| title_full_unstemmed | Analyzing I/O Request Characteristics of a Mobile Messenger and Benchmark Framework for Serviceable Cold Storage |
| title_short | Analyzing I/O Request Characteristics of a Mobile Messenger and Benchmark Framework for Serviceable Cold Storage |
| title_sort | analyzing i o request characteristics of a mobile messenger and benchmark framework for serviceable cold storage |
| topic | Cold storage large-scale storage systems energy-efficiency statistical analysis benchmark |
| url | https://ieeexplore.ieee.org/document/7921529/ |
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