NDLI: Multi-resource schedulable unit for adaptive application-driven unified resource management in data centers

Content Provider	IEEE Xplore Digital Library
Author	Gutierrez-Estevez, D.M. Min Luo
Copyright Year	2015
Description	Author affiliation: Huawei Technol., Santa Clara, CA, USA (Gutierrez-Estevez, D.M.; Min Luo)
Abstract	Applications in modern data centers have a wide variety of resource requirements along the four main dimensions of computing, memory, storage, and networking. Data centers must manage these resources separately for each dimension, resulting in highly inefficient allocation of precious resources or even disastrous schemes that contribute to low utilization or over-provisioning of resources. However, concerted efforts to jointly optimize all types of resources in the same framework appears insurmountable due to an exponentially increasing complexity linked to the thousands of fine-grained resources such as CPUs, memory blocks, disk blocks, switches, etc., which results in an astronomically large number of possible resource combinations. In this paper, we present a novel multi-resource scheduling approach that keeps the complexity to a minimum while it provides efficient resource utilization by keeping a sufficient level of granularity. Our scheme is based on the idea of defining a new finest-grain schedulable unit called multi-resource schedulable unit (MRSU) that will be used by the scheduler to allocate resources to applications in the data center. The problem of MRSU-based scheduling is modeled with an optimization problem and several solutions are proposed. Our results show a significant performance improvement of our technique over conventional static schedulers based on virtual machines (VMs) in terms of saved over-allocation and application satisfaction.
Starting Page	261
Ending Page	268
File Size	547469
Page Count	8
File Format	PDF
e-ISBN	9781467393485
DOI	10.1109/ATNAC.2015.7366823
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-18
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	unified resource management Cloud computing Memory management Random access memory data centers Bandwidth Scheduling application driven Complexity theory Resource management Servers adaptive optimization
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
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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