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A comparison of data serialization formats for optimal efficiency on a mobile platform

Authors:

S. Kami MakkiAuthors Info & Claims

ICUIMC '12: Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication

Article No.: 48, Pages 1 - 6

https://doi.org/10.1145/2184751.2184810

Published: 20 February 2012 Publication History

Abstract

Because of the increase in easily obtainable internet-connected mobile devices and their unique characteristics, choosing the proper data serialization format has become increasingly difficult. These devices are resource scarce and bandwidth limited. In this paper, we compare four different data serialization formats with an emphasis on serialization speed, data size, and usability. The selected serialization formats include XML, JSON, Thrift, and ProtoBuf. XML and JSON are the most well known text-based data formats, while ProtoBuf and Thrift are relatively new binary serialization formats. These data serialization formats are tested on an Android device using both text-heavy and number-heavy objects.

References

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Digital Library

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Narasimha Srirangam, Venkata Aiswarya, S. Kami Makki, Shui Yu, Utilizing Intelligent Middleware for Reconfiguration of Applications on Android, In Proceedings of International Conference on Convergence and Hybrid Information Technology, G. Lee, D. Howard, and D. Ślêzak (Eds.): ICHIT 2011, Lecture Notes in Artificial Intelligence (LNAI) Vol. 6935, pp. 81--89. Springer, Heidelberg (2011), September 23rd -- 25th, 2011, Daejeon, Korea.

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Jaakko Kangasharju and Sasu Tarkoma, Benefits of Alternate XML Serialization Formats in Scientific Computing. In Proceedings of the workshop on Service oriented computing performance: aspects, issues, and approaches, SOCP '07, pages 23--30, New York, NY, USA, 2007.

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Cited By

Huseynov KCakir LAl-Shareeda SÖzdem MCanberk B(2024)A Data Serialization-based Framework for Efficient IoT Management2024 IEEE 10th World Forum on Internet of Things (WF-IoT)10.1109/WF-IoT62078.2024.10811147(707-712)Online publication date: 10-Nov-2024
https://doi.org/10.1109/WF-IoT62078.2024.10811147
Jackson SCummings NKhan S(2024)Streaming Technologies and Serialization Protocols: Empirical Performance AnalysisIEEE Access10.1109/ACCESS.2024.348605412(158025-158039)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3486054
Balalaieva OMarchenko IKorotenko GBeshta DPikuz A(2023)Performance research of C# programming language data serializers using the developed software product for testingReporter of the Priazovskyi State Technical University. Section: Technical sciencesВестник Приазовского государственного технического университета. Серия: Технические наукиВісник Приазовського Державного Технічного Університету. Серія: Технічні науки10.31498/2225-6733.47.2023.299923(8-24)Online publication date: 28-Dec-2023
https://doi.org/10.31498/2225-6733.47.2023.299923
Show More Cited By

Index Terms

A comparison of data serialization formats for optimal efficiency on a mobile platform
1. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Distributed systems organizing principles
        Organizing principles for web applications

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Information

Published In

cover image ACM Conferences

ICUIMC '12: Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication

February 2012

852 pages

ISBN:9781450311724

DOI:10.1145/2184751

Conference Chairs:
Suk-Han Lee
Sungkyunkwan University, Korea
,
Lajos Hanzo
University of Southampton, UK
,
Roslan Ismail
Universiti Kuala Lumpur, Malaysia
,
Program Chairs:
Dongsoo S. Kim
Indiana University
,
Min Young Chung
Sungkyunkwan University, Korea
,
Sang-Won Lee
Sungkyunkwan University, Korea

Copyright © 2012 ACM.

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]

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SIGAPP: ACM Special Interest Group on Applied Computing
SKKU: SUNGKYUNKWAN UNIVERSITY

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 February 2012

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ICUIMC '12

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SIGAPP
SKKU

ICUIMC '12: The 6th International Conference on Ubiquitous Information Management and Communication

February 20 - 22, 2012

Kuala Lumpur, Malaysia

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Cited By

Huseynov KCakir LAl-Shareeda SÖzdem MCanberk B(2024)A Data Serialization-based Framework for Efficient IoT Management2024 IEEE 10th World Forum on Internet of Things (WF-IoT)10.1109/WF-IoT62078.2024.10811147(707-712)Online publication date: 10-Nov-2024
https://doi.org/10.1109/WF-IoT62078.2024.10811147
Jackson SCummings NKhan S(2024)Streaming Technologies and Serialization Protocols: Empirical Performance AnalysisIEEE Access10.1109/ACCESS.2024.348605412(158025-158039)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3486054
Balalaieva OMarchenko IKorotenko GBeshta DPikuz A(2023)Performance research of C# programming language data serializers using the developed software product for testingReporter of the Priazovskyi State Technical University. Section: Technical sciencesВестник Приазовского государственного технического университета. Серия: Технические наукиВісник Приазовського Державного Технічного Університету. Серія: Технічні науки10.31498/2225-6733.47.2023.299923(8-24)Online publication date: 28-Dec-2023
https://doi.org/10.31498/2225-6733.47.2023.299923
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Zhang RXie MBian J(2021)ReLF: Scalable Remote Live Forensics for Android2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)10.1109/TrustCom53373.2021.00117(822-831)Online publication date: Oct-2021
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Dibak CNowak WDuerr FRothermel K(2021)Using Surrogate Models and Data Assimilation for Efficient Mobile SimulationsIEEE Transactions on Mobile Computing10.1109/TMC.2021.3108750(1-1)Online publication date: 2021
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