NDLI: On Throughput-Delay Optimal Access to Storage Clouds via Load Adaptive Coding and Chunking

Content Provider	ACM Digital Library
Author	Liang, Guanfeng Kozat, Ulas C. Guanfeng Liang
Description	Author Affiliation: DOCOMO Innovations Inc., Palo Alto, CA, USA(Kozat, Ulas C.; Docomo innovations inc., Palo Alto, California, USA (Liang, Guanfeng; Kozat, Ulas C.); Guanfeng Liang)
Abstract	Recent literature including our past work provides analysis and solutions for using: 1 erasure coding; 2 parallelism; or 3 variable slicing/chunking i.e., dividing an object of a specific size into a variable number of smaller chunks in speeding up the I/O performance of storage clouds. However, a comprehensive approach that considers all three dimensions together to achieve the best throughput-delay tradeoff curve had been lacking. This paper presents the first set of solutions that can pick the best combination of coding redundancy ratio and object chunking/slicing options as the load dynamically changes. Our specific contributions are as follows: 1 We establish via measurements that combining variable redundancy ratio and chunking is mostly feasible over a popular public cloud. 2 We relate the delay-optimal values for chunking level and code redundancy ratio to the queue backlogs via an approximate queuing analysis. 3 Based on this analysis, we propose TOFEC that adapts the chunking level and redundancy ratio against the queue backlogs. Our trace-driven simulation results show that TOFEC's adaptation mechanism converges to an appropriate code that provides the optimal throughput-delay tradeoff without reducing system capacity. Compared to a nonadaptive strategy optimized for throughput, TOFEC delivers 2.5× lower latency under light workloads; compared to a nonadaptive strategy optimized for latency, TOFEC can scale to support over 3× as many requests. 4 We propose a simpler greedy solution that performs on a par with TOFEC in average delay performance, but exhibits significantly more performance variations.
Starting Page	2168
Ending Page	2181
Page Count	14
File Format	PDF
ISSN	10636692
DOI	10.1109/TNET.2015.2457834
Volume Number	24
Issue Number	4
Journal	IEEE/ACM Transactions on Networking (TON)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-08-01
Access Restriction	One Nation One Subscription (ONOS)
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Networks and Communications Software Computer Science Applications

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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