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Paper Abstract and Keywords
Presentation 2018-07-30 11:15
Analysis of commercial cloud workload and study on how to apply cache methods
Kazuichi Oe, Kazutaka Ogihara (FLABO), Takeo Honda (FST) CPSY2018-14
Abstract (in Japanese) (See Japanese page) 
(in English) We analyzed some storage workloads of the FUJITSU K5 cloud service, which was built using the
OpenStack platform, to clarify how to handle these workloads effectively. We retrieved these storage workloads and
analyzed them from the viwe point of both temporal and spatial access locality. For temporal access locality, we
classified these workloads as two input/output (IO) access patterns. One was that the number of IO accesses was
high only for a specific time and the other was that the number of IO accesses was almost stable. For both temporal
and spatial access locality, we found that almost all workloads included IO concentrations. Such concentrations
are aggregations of IO accesses and appear in narrow regions of a storage volume and continue for periods of up
to an hour. Therefore, we studied how to apply cache methods by using a cache simulator. The cache hit ratios
varied with workload, but almost half of the workloads had low cache hit ratios because they included few page-level
regularities. Automated tiered storage with fast memory and slow flash storage (ATSMF), which was we proposed
in our previous study, can handle IO concentration effectively because its migration algorithm found the entire area
of IO concentration and migrated it from slow storage to fast storage if the migration improves user’s performance.
We predict that the cache hit ratios of ATSMF will be much higher than the half workloads of the Least Recently
Used and Adaptive Replacement Cache algorithms. Therefore, we should develop a technique that combines ATSMF
and traditional caching. From the results of temporal access locality, we can a share fast storage area among several
workloads when these workloads have different times when the number of IO accesses is high. Moreover, we should
preferentially allocate a fast storage area to IO concentrated workloads, which accounts for only 1.2% of the total
workloads, because these workloads include more than half of all IO accesses.
Keyword (in Japanese) (See Japanese page) 
(in English) Cloud workload / analysis / caching / LRU / ARC / IO concentration / ATSMF /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 165, CPSY2018-14, pp. 7-12, July 2018.
Paper # CPSY2018-14 
Date of Issue 2018-07-23 (CPSY) 
ISSN Online edition: ISSN 2432-6380
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF CPSY2018-14

Conference Information
Committee CPSY DC IPSJ-ARC  
Conference Date 2018-07-30 - 2018-08-01 
Place (in Japanese) (See Japanese page) 
Place (in English) Kumamoto City International Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Parallel, Distributed and Cooperative Processing Systems and Dependable Computing 
Paper Information
Registration To CPSY 
Conference Code 2018-07-CPSY-DC-ARC 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of commercial cloud workload and study on how to apply cache methods 
Sub Title (in English)  
Keyword(1) Cloud workload  
Keyword(2) analysis  
Keyword(3) caching  
Keyword(4) LRU  
Keyword(5) ARC  
Keyword(6) IO concentration  
Keyword(7) ATSMF  
1st Author's Name Kazuichi Oe  
1st Author's Affiliation Fujitsu Laboratories LTD. (FLABO)
2nd Author's Name Kazutaka Ogihara  
2nd Author's Affiliation Fujitsu Laboratories LTD. (FLABO)
3rd Author's Name Takeo Honda  
3rd Author's Affiliation FST (FST)
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Speaker Author-1 
Date Time 2018-07-30 11:15:00 
Presentation Time 30 minutes 
Registration for CPSY 
Paper # CPSY2018-14 
Volume (vol) vol.118 
Number (no) no.165 
Page pp.7-12 
Date of Issue 2018-07-23 (CPSY) 

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