Examining the Impact of ATM Adaptation Layers and Service Classes on the Performance of Network
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2019 by IJCTT Journal | ||
| Volume-67 Issue-3 |
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| Year of Publication : 2019 | ||
| Authors : Omojokun Gabriel Aju, Ajayi Olusola Olajide | ||
| DOI : 10.14445/22312803/IJCTT-V67I3P124 |
MLA Style: Omojokun Gabriel Aju, Ajayi Olusola Olajide "Examining the Impact of ATM Adaptation Layers and Service Classes on the Performance of Network" International Journal of Computer Trends and Technology 67.3 (2019): 124-131.
APA Style:Omojokun Gabriel Aju, Ajayi Olusola Olajide (2019). Examining the Impact of ATM Adaptation Layers and Service Classes on the Performance of Network. International Journal of Computer Trends and Technology, 67(3), 124-131.
Abstract
Asynchronous Transfer Mode (ATM) is a connection-oriented packet switching high-speed networking technology with a fixed length bytes called cells designed to support voice, video and data communications, and to improve utilization and quality of Service (QoS) on high-traffic networks. ATM provides quality of service capabilities through its service classes and the Adaptation Layers (AAL) which contains the information needed by the destination to reassemble the individual cells back into the original message sits between ATM and the variable-length packet protocols that use ATM. The ATM was designed to support various services, including voice, video and data, and these services require different service classes and adaptation layer needs to support their applications. This experiment is therefore conducted to study how the choice of the adaptation layers as well as the service classes affects the performance of the applications on a network using The Download Response Time, Traffics Sent, Traffics Received, Packet Delay Variation and Packet End-to-End Delay as performance metrics..
Reference
[1] N.I. Sarkar, S. A. Halim, “Simulation of computer networks: simulators, methodologies and recommendations”, The Proceeding of 5th International Conference on Information Technology and Application, Cairns, Australia. 2008, pp. 420-425
[2] R. Jain. “ATM Network: An Overview”, Lecture Note on ATM Networks, Washington University at Saint Louis. MO 63130, USA. https://www.cse.wustl.edu/~jain/talks/netsem2.htm. 2016.
[3] C. Blondia and O. Casals. “Traffic Management in ATM Networks: An Overview. In: Kouvatsos D. (eds) Performance Evaluation and Applications of ATM Networks”. The International Series in Engineering and Computer Science, Vol. 557. Springer, Boston, MA. 2002.
[4] K. Y. Siu and R. Jain. “A Brief Overview of ATM: Protocol Layers, LAN Emulation and Traffics Management” Lecture Note on ATM Networks, University of California, Irvine, CA 92717, USA. 2007.
[5] N. Nake. “An Overview of Network Architecture and security framework of Asynchronous Transfer Mode”, International Journal of Scientific and Research Publications, Volume 3, Issue 4, April 2013.
[6] L. L. Peterson and B. S. Davie. “Computer Networks: A Systems Approach”. 3rd Edition, Morgan Kaufmann Publishers, Boston, USA. 2003
[7] E. Aboelela. “Network Simulation Experiment Manual”. 4th Edition. Morgan Kaufmann Publishers, Boston, USA. 2008
[8] W. Stallings. Data and Computer Communications. 8th Edition. Pearson Prentice Hall. NJ 07458, USA.
[9] (2018). The Riverbed Technologies website. [Online]. Available: https://www.riverbed.com/gb/products/steelcentral/opnet.html
[10] R. L. Cruz and H. N. Liu. End-to-End Queuing Delay in ATM Networks. Journal of High Speed Networks. Vol. 3, No. 4. pp. 413-427. 1994.
[11] O. L. Nneka and O. K. Rita. “Congestion Control in Asynchronous Transfer Mode (ATM) Network”, International Journal of Computer Applications. Vol. 142. No. 4. pp. 11-15. May 2016.
Keywords
Asynchronous Transfer Mode, Adaptation Layers, Service Classes, Applications, Simulation