NDLI: Flex: Flexible and Energy Efficient Scheduling for Big Data Storage

Content Provider	IEEE Xplore Digital Library
Author	Daokuan Ma Yongwei Wu Kang Chen Weimin Zheng
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China (Daokuan Ma; Yongwei Wu; Kang Chen; Weimin Zheng)
Abstract	Traditional distributed schedulers only consider the scheduling of jobs and treat the storage system as static and already deployed. However, individual application often needs its own configuration of storage system. Therefore, traditional distributed schedulers are not able to serve multiple tenants. To improve the resource utilization, some mechanisms are needed to consolidate multiple applications running on top of the same computing resources. Flex is such a system for helping the distributed scheduler to deploy a customized storage system before a job is scheduled without too much overhead incurred. The lightweight operating system level virtualization technology, aka containers in Linux, is used to wrap the computing environment and isolate different applications. Flex can achieve two goals that traditional distributed scheduler cannot provide. One is to deploy a specific storage system for the requirement of an individual application, the other is to consolidate applications for a better use of the underlying computing resources. Thus, by employing storage scheduling, Flex improves the resource utilization of distributed systems.
Starting Page	213
Ending Page	220
File Size	408530
Page Count	8
File Format	PDF
ISBN	9781467375894
ISSN	15302016
DOI	10.1109/ICPPW.2015.31
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Virtual machining Flexible printed circuits Containers Operating systems Virtualization High performance computing Hardware Linux Container Big Data Distributed System Distributed Scheduler
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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