NDLI: Octopus: Hybrid Big Data Integration Engine

Content Provider	IEEE Xplore Digital Library
Author	Yanjie Chen Chenyang Xu Weixiong Rao Hong Min Gong Su
Copyright Year	2015
Description	Author affiliation: Sch. of Software Eng., Tongji Univ., Shanghai, China (Yanjie Chen; Chenyang Xu; Weixiong Rao) \|\| IBM Watson Res. Lab., New York, NY, USA (Hong Min; Gong Su)
Abstract	Nowadays large enterprises maintain a huge amount of data in multiple backend systems including traditional database systems and recently popular big data systems. In an example of telecom providers, the key business data (e.g., billing information) is maintained in database systems whereas the huge signaling log data is on HDFS with Hive. How to integrate such data and provide a consolidate query and analytic becomes a challenging task. Neither traditional database warehouse nor recent Big Data system (e.g. Apache Spark and Hadoop) can fully leverage the power of each backend system. In this paper, we build a hybrid data processing engine, called Octopus, to fully integrate backend systems. Given the backend systems, data is distributed at multiple locations. Octopus focuses on the optimization of the amount of data movement. To this end, Octopus proposes a technique of query pushdown for such optimization. A proof-of-concept prototype of Octopus successfully verifies that Octopus can achieve much faster running time than Spark. For example, Octopus outperforms the recent Spark version 1.4.0 by 5.25 X faster running time to process an aggregation query.
Starting Page	462
Ending Page	466
File Size	222600
Page Count	5
File Format	PDF
ISBN	9781467395601
DOI	10.1109/CloudCom.2015.111
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-30
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Query processing Prototypes Big data Sparks Engines Business
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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