Exploration of in-memory computing for big data analytics using queuing theory
Pages 11 - 16
Abstract
Assigning suitable memory chunk for Big Data analysis is posing serious problems for Business Analysts. There are plentiful solutions that came along to solve the issue of memory management. The noteworthy solutions to the problems included JVM based and Container based solutions. However, both of these solutions suffered from disk I/O bottleneck. To reduce disk, I/O bottleneck, in-memory system was introduced, which supports interactive data analytics. Present study conducts request time processing for in-memory system using three types of queue models- MG1, GM1 and GG1.
References
[1]
T. Raynaud, R. Haque, and H. Aít-kaci, "CedCom: A High-Performance Architecture for Big Data applications," 2014 IEEEACS 11th Int. Conf. Comput. Syst. Appl. AICCSA.
[2]
E. Savitz, "IT Revolution: How In Memory Computing Changes Everything," Forbes. {Online}. Available: https://www.forbes.com/sites/ciocentral/2013/03/08/it-revolution-how-in-memory-computing-changes-everything/. {Accessed: 10-01-2018}.
[3]
B. J. Says, "The Myth Of In-Memory Computing," The Next Platform, 19-Feb-2016. {Online}. Available: https://www.nextplatform.com/2016/02/19/the-myth-of-in-memory-computing/. {Accessed: 21-Jan-2018}.
[4]
Mihnea Andrei et.al, "SAP HANA Adoption of Non-Volatile Memory", The Proceedings of the VLDB Endowment (PVLDB) pp: 1754 {Access on 19-01-2018}
[5]
Oracle Report, "New Oracle Exadata X7 Delivers In-Memory Performance from Shared Storage." {Online}. Available: https://www.oracle.com/corporate/pressrelease/oow17-oracle-exadata-x7-100217.html. {Accessed: 12-12-2017}.
[6]
B. Roussey, "How in-memory computing helps enterprises overcome Big Data woes," How in-memory computing helps enterprises overcome big data woes, 05-May-2017. {Online}. Available: http://techgenix.com/in-memory-computing/. {Accessed: 29-Dec-2017}.
[7]
D. Gutierrez, "insideBIGDATA Guide to In-Memory Computing," insideBIGDATA, 25-Sep-2014. .
[8]
P. Jeffcock, "3 Key Problems To Solve If You Want A Big Data Management System," 2014. {Online}. Available: https://blogs.oracle.com/bigdata/3-key-problems-to-solve-if-you-want-a-big-data-management-system. {Accessed: 09-Dec-2017}.
[9]
N. Khan et al., "Big Data: Survey, Technologies, Opportunities, and Challenges," Sci. World J., vol. 2014, 2014.
[10]
SAP AG Report, Harnessing the Power of Big Data in Real Time through In-Memory Technology and Analytics, The Global Information Technology Report 2012, World Economic Forum, 2012, pp:88--96, {Accessed on 10-12-2017}
[11]
"Memory Management for Large Data Sets - LabVIEW 2017 Help - National Instruments," Memory Management for Large Data Sets, 01-Mar-2017. {Online}. Available: http://zone.ni.com/reference/en-XX/help/371361P-01/lvconcepts/memory_management_for_large_data_sets/. {Accessed: 29-Dec-2017}.
[12]
R. Srivastava, "Estimation of Buffer Size of Internet Gateway Server via G/M/1 Queuing Model," Int. J. Comput. Inf. Eng., vol. 1, no. 9, pp. 2667--2675, 2007.
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Published: 15 March 2018
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HP3C 2018
HP3C 2018: 2018 2nd International Conference on High Performance Compilation, Computing and Communications
March 15 - 17, 2018
Hong Kong, Hong Kong
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