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Evaluating Distributed Transactional Database System

Published: 16 January 2019 Publication History

Abstract

With the rapid development of mobile Internet and electronic commerce, massive transactional operations under new data modules becomes the dominated workload of the database systems. In order to meet the functional and performance requirements of this kind of business, new distributed transactional databases system evolve fast. However, because of the distinct technical differences between the new distributed transactional database and traditional centralized transactional database, such as technical component architecture and principles of computing and storage, the evaluation framework and method for traditional database cannot directly apply to distributed transactional database. For example, the existing benchmarks can't evaluate high availability, scalability, and distributed consistency issues which are important characteristics after distribution. It is urgent for the industry to construct evaluation methods for distributed transactional databases so as to comprehensively measure the technical maturity and capability of these products. In this paper, we first summarize the definition and characteristics of distributed transactional database system. After evaluating the existing test benchmarks for distributed transactional database, we propose a new evaluation framework and test methods for distributed transactional database system. This paper provides a new guidance for testing and selecting distributed transactional database in the world.

References

[1]
Corbett J C, Dean J, Epstein M, et al. Spanner: Google's globally-distributed database{C}// Usenix Conference on Operating Systems Design and Implementation. 2012:251--264.
[2]
Cheung D W, Ng V T, Fu A W, et al. Efficient mining of association rules in distributed databases{J}. Knowledge & Data Engineering IEEE Transactions on, 1996, 8(6):911--922.
[3]
Zsu M T, Valduriez P. Principles of distributed database systems{J}. Springer Berlin, 1999, 24(1):31--41.
[4]
Bernstein P A. Concurrency Control in Distributed Database Systems{J}. Acm Computing Surveys, 1989, 13(2):185--221.
[5]
Romano P, Romano P. A uto P lacer: Scalable Self-Tuning Data Placement in Distributed Key-Value Stores{J}. Acm Transactions on Autonomous & Adaptive Systems, 2014, 9(4):19.
[6]
Kumar R, Gupta N, Charu S, et al. Manage Big Data through NewSQL{C}// National Conference on Innovation in Wireless Communication and NETWORKING Technology. 2014.
[7]
Kumar R, Parashar B B, Gupta S, et al. Apache Hadoop, NoSQL and NewSQL Solutions of Big Data{C}// International Journal of Advance Foundation and Research in Science & Engineering. 2014.
[8]
Ardekani M S, Terry D B. A self-configurable geo-replicated cloud storage system{C}// Usenix Conference on Operating Systems Design and Implementation. USENIX Association, 2015:367--381.
[9]
Ling G U, Weng H X, Hua-Liang H U, et al. OceanBase schema design for OLAP application{J}. Journal of East China Normal University, 2014.
[10]
Ramanathan S, Goel S, Alagumalai S. Comparison of Cloud database: Amazon's SimpleDB and Google's Bigtable{C}// International Conference on Recent Trends in Information Systems. IEEE, 2011:165--168.
[11]
Sukhwani B, Min H, Thoennes M, et al. Database analytics acceleration using FPGAs{C}// International Conference on Parallel Architectures and Compilation Techniques. IEEE, 2017:411--420.
[12]
Abbas Q, Shafiq H, Ahmad I, et al. Concurrency control in distributed database system{C}// International Conference on Computer Communication and Informatics. IEEE, 2016:1--4.

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  • (2024)Live Migration of Virtual Machines Based on Dirty Page SimilarityIEEE Transactions on Cloud Computing10.1109/TCC.2024.337949412:2(563-579)Online publication date: Apr-2024

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cover image ACM Other conferences
ICCMS '19: Proceedings of the 11th International Conference on Computer Modeling and Simulation
January 2019
253 pages
ISBN:9781450366199
DOI:10.1145/3307363
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

  • University of Wollongong, Australia
  • College of Technology Management, National Tsing Hua University, Taiwan
  • Swinburne University of Technology
  • University of Technology Sydney

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 January 2019

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Author Tags

  1. distributed transactional database
  2. evaluating
  3. financial

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  • Research-article
  • Research
  • Refereed limited

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ICCMS 2019
ICCMS 2019: The 11th International Conference on Computer Modeling and Simulation
January 16 - 19, 2019
QLD, North Rockhampton, Australia

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  • (2024)Live Migration of Virtual Machines Based on Dirty Page SimilarityIEEE Transactions on Cloud Computing10.1109/TCC.2024.337949412:2(563-579)Online publication date: Apr-2024

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