NDLI: MRemu: An Emulation-Based Framework for Datacenter Network Experimentation Using Realistic MapReduce Traffic

Content Provider	IEEE Xplore Digital Library
Author	Veiga Neves, M. De Rose, C.A.F. Katrinis, K.
Copyright Year	2015
Description	Author affiliation: IBM Res. - Ireland, Dublin, Ireland (Katrinis, K.) \|\| Pontifical Catholic Univ. of Rio Grande do Sul, Porto Alegre, Brazil (Veiga Neves, M.; De Rose, C.A.F.)
Abstract	As data volumes and the need for timely analysis grow, Big Data analytics frameworks have to scale out to hundred or even thousands of commodity servers. While such a scale-out is crucial to sustain desired computational throughput/latency and storage capacity, it comes at the cost of increased network traffic volumes and multiplicity of traffic patterns. Despite the sheer reality of the dependency between datacenter network (DCN) and time-to-insight through big data analysis, our experience as active networking researchers conveys that a large fraction of DCN research experimentation is conducted on network traces and/or synthetic flow traces. And while the respective results are often valuable as standalone contributions, in practice it turns out extremely difficult to quantitatively assess how the reported network optimization results translate to performance or fault-tolerance improvement for actual analytics runtimes, e.g., due to the ability of these runtimes to overlap communication with computation. This paper presents MRemu, an emulation-based framework for conducting reproducible datacenter network research using accurate MapReduce workloads and at system scales that are relevant to the size of target deployments, albeit without requiring access to a hardware infrastructure of such scale. We choose the MapReduce (MR) framework as a design point, for it is a common representative of the most widely deployed frameworks for analysis of large volumes of - structured and unstructured - data and is reported to be highly sensitive to network performance. With MRemu, it is possible to quantify the impact of various network design parameters and software-defined control techniques to key performance indicators of a given MR application. We show through targeted experimental validation that MRemu exhibits high fidelity, when compared to the performance of MR applications on a real scale-out cluster of 16 high-end servers.
Starting Page	174
Ending Page	177
File Size	624054
Page Count	4
File Format	PDF
ISSN	15267539
e-ISBN	9781467377201
DOI	10.1109/MASCOTS.2015.36
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Emulation Network topology Big data Topology Servers Data mining Monitoring Big Data Datacenter Network Software-defined Network Network emulation MapReduce
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