Presentation 2019-03-08
Pricing and Resource Allocation on Hadoop Data Centers Using Auction Mechanisms
Yu Manabe, Jun Kawahara, Shoji Kasahara,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) As storage capacity and computing performance grow due to the development of hardware, it is possible for applications to handle much more data and computation resources. Therefore, distributed processing frameworks that accelerate execution of jobs in a large sale cluster such as Hadoop attract the attention. If a large number of users share big data, a new scheduler for resource allocation is needed. In addition, in order to manage a Hadoop data center for commercial purposes, a method of pricing that increases the revenue of a data center is required. In this research, we propose a new method consisting of two components. The first component is a system to predict the execution time of a user's application. The second component is an auction mechanism such that it is optimal for users to bid their own appraised price as they are. Discrete event simulations are carried out to evaluate the proposed method. The evaluation experiment indicates that the proposed method increases the revenue of the Hadoop data center by about 125% compared with an existing method in the situation where user participation and leaving are frequent.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Distributed processing system / Hadoop / Data center / Scheduling / Auction mechanism
Paper # ICM2018-57
Date of Issue 2019-02-28 (ICM)

Conference Information
Committee ICM
Conference Date 2019/3/7(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Kiyohito Yoshihara(KDDI Research)
Vice Chair Yoichi Yamashita(NTT-Neomait) / Takumi Miyoshi(Shibaura Inst. of Tech.)
Secretary Yoichi Yamashita(KDDI Research) / Takumi Miyoshi(NTT)
Assistant Yunchen Zhu(Hitachi)

Paper Information
Registration To Technical Committee on Information and Communication Management
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Pricing and Resource Allocation on Hadoop Data Centers Using Auction Mechanisms
Sub Title (in English)
Keyword(1) Distributed processing system
Keyword(2) Hadoop
Keyword(3) Data center
Keyword(4) Scheduling
Keyword(5) Auction mechanism
1st Author's Name Yu Manabe
1st Author's Affiliation NARA Institute of Science and Technology(NAIST)
2nd Author's Name Jun Kawahara
2nd Author's Affiliation NARA Institute of Science and Technology(NAIST)
3rd Author's Name Shoji Kasahara
3rd Author's Affiliation NARA Institute of Science and Technology(NAIST)
Date 2019-03-08
Paper # ICM2018-57
Volume (vol) vol.118
Number (no) ICM-483
Page pp.pp.43-48(ICM),
#Pages 6
Date of Issue 2019-02-28 (ICM)