NDLI: Memorization of Materialization Points

Content Provider	IEEE Xplore Digital Library
Author	Hoger, M. Kao, O.
Copyright Year	2013
Description	Author affiliation: Tech. Unerversitat Berlin, Berlin, Germany (Hoger, M.; Kao, O.)
Abstract	Data streaming frameworks, constructed to work on large numbers of processing nodes in order to analyze big data, are fault-prone. Not only the large amount of nodes and network components that could fail are a source of errors. Development of data analyzing jobs has the disadvantage that errors or wrong assumptions about the input data may only be detected in productive processing. This usually leads to a re-execution of the entire job and re-computing all input data. This can be a tremendous profuseness of computing time if most of the job's tasks are not affected by these changes and therefore process and produce the same exact data again. This paper describes an approach to use materialized intermediate data from previous job executions to reduce the number of tasks that have to be re-executed in case of an updated job. Saving intermediate data to disk is a common technique to achieve fault tolerance in data streaming systems. These intermediate results can be used for memoization to avoid needless re-execution of tasks. We show that memoization can decrease the runtime of an updated job distinctly.
Starting Page	1247
Ending Page	1254
File Size	615574
Page Count	8
File Format	PDF
ISBN	9780769550961
DOI	10.1109/CSE.2013.186
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-03
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	memoization Fault tolerance Runtime materialization Fault tolerant systems Terrestrial atmosphere Optical character recognition software Indexes Engines fault tolrance
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
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