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Reseach Article

Performance Analysis of Mobile Memory with Optimization

by Rohit Maurya, Ajay Shankar Shukla, Manish Kumar Sharma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 60 - Number 12
Year of Publication: 2012
Authors: Rohit Maurya, Ajay Shankar Shukla, Manish Kumar Sharma
10.5120/9741-4297

Rohit Maurya, Ajay Shankar Shukla, Manish Kumar Sharma . Performance Analysis of Mobile Memory with Optimization. International Journal of Computer Applications. 60, 12 ( December 2012), 1-5. DOI=10.5120/9741-4297

@article{ 10.5120/9741-4297,
author = { Rohit Maurya, Ajay Shankar Shukla, Manish Kumar Sharma },
title = { Performance Analysis of Mobile Memory with Optimization },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 60 },
number = { 12 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume60/number12/9741-4297/ },
doi = { 10.5120/9741-4297 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:06:20.415187+05:30
%A Rohit Maurya
%A Ajay Shankar Shukla
%A Manish Kumar Sharma
%T Performance Analysis of Mobile Memory with Optimization
%J International Journal of Computer Applications
%@ 0975-8887
%V 60
%N 12
%P 1-5
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

As it known that mobile phones has low end configuration so we need memory optimization and network bandwidth reduction. These are very important factor for mobile developer because storage memory is very limited ranging from 64K to 200K bytes and the heap memory is ranging from 200K to500K bytes. The maximum size of application is fixed so we cannot run the application which exceeds that maximum size. Computing power is also limited so only few instructions can be processed per unit time. The problem is, unlike the PC platform where hardware can be easily upgraded whenever required; in mobile it is almost impossible to update the hardware requirement dynamically. Games developed for a particular mobile platform may or may not run on the other mobile platform due to difference of hardware capability. So in mobile platform only chance is to play with the source code, it is developer who has to write the code in such a way that will consume less resource and run faster. In this paper we present various techniques to optimize mobile memory for mobile games.

References
  1. F. Chehimi, P. Coulton, and R. Edwards. C++ optimizations for mobile applications. In Consumer Electronics, 2006. ISCE '06. 2006 IEEE Tenth International Symposium on, pages 1 –6, 0-0 2006.
  2. V. -M. Hartikainen, P. P. Liimatainen, and T. Mikkonen. On mobile java memory consumption. In Parallel, Distributed, and Network-Based Processing, 2006. PDP 2006. 14th Euromicro International Conference on, page 7 pp. , feb. 2006.
  3. Wang Jianmin, Zheng Zibin, Peter Tam, and Liu Jianping. Optimization technique for commercial mobile mmorpg. In Xiaopeng Zhang, Shaochun Zhong, Zhigeng Pan, Kevin Wong, and Ruwei Yun, editors, Entertainment for Education. Digital Techniques and Systems, volume 6249 of Lecture Notes in Computer Science, pages 34–45. Springer Berlin Heidelberg, 2010.
  4. Bailin Yang and Zhiyong Zhang. Design and implementation of high performance mobile game on embedded device. In Computer Application and System Modeling (ICCASM), 2010 International Conference on, volume 8, pages V8–196 –V8–199, oct. 2010.
  5. Weishan Zhang, Dong Han, T. Kunz, and K. M. Hansen. Mobile game development: Object-orientation or not. In Computer Software and Applications Conference, 2007. COMPSAC 2007. 31st Annual International, volume 1, pages 601 –608, july 2007.
Index Terms

Computer Science
Information Sciences

Keywords

Optimization Games Mobile Memoryifx