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Dixit, Amit
- A Review on Overview of Worldwide Interoperability for Microwave Access (Wimax) Innovation and its Future Utilizations
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Authors
Affiliations
1 Department of Electronics and Communication Engineering, Sanskar College of Engineering and Technology, IN
2 Department of Computer Science Engineering, Delhi College of Technology and Management, IN
3 Department of Electronics and Communication Engineering, Bharti Vidyapeeth College of Engineering, IN
4 Department of Electronics and Communication Engineering, Quantum University, IN
1 Department of Electronics and Communication Engineering, Sanskar College of Engineering and Technology, IN
2 Department of Computer Science Engineering, Delhi College of Technology and Management, IN
3 Department of Electronics and Communication Engineering, Bharti Vidyapeeth College of Engineering, IN
4 Department of Electronics and Communication Engineering, Quantum University, IN
Source
ICTACT Journal on Communication Technology, Vol 9, No 2 (2018), Pagination: 1749-1756Abstract
This paper introduces the elements of the Worldwide Interoperability for Microwave Access (WiMAX) innovation and future utilizations of WiMAX. It is a connection oriented wireless network that assures Quality of Service (QoS) for all users in the network. By comparing WiMAX with the popular Wi-Fi, 3G and LTE in the market, it analyzes the current situation and future development trend of WiMAX in terms of the difference in technology and applications. WiMAX will become the most prominent technology for Broadband Wireless Access (BWA). The next generation WMAN networks, using the WiMAX as the core technology is evolving as a 4G technology for providing ubiquitous computing solutions. In not a similar way like wireless LANs, WiMAX networks integrate various QoS mechanism at the Media Access Control (MAC) level for secured service for voice, data and video. The unique architecture of the WiMAX MAC and PHY layer that uses OFDMA to allocate multiple channels with different modulation schemes. A few references have been incorporated towards the completion of this paper for those eager to know in brief about certain points.Keywords
WiMAX, QoS, OFDMA, IEEE802.16, MAC.References
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- 802.16-2004 - IEEE Standard for Local and Metropolitan Area Networks Part 16: Air Interface for Fixed Broadband Wireless Access Systems, IEEE, 2004.
- C. Cicconetti, L. Lenzini, E. Mingozzi and C. Eklund, “Quality of Service Support in IEEE 802.16 Networks”, IEEE Network, Vol. 8, No. 2, pp. 50-55, 2006.
- Vasile Horia Muntean and Marius Otesteanu, “WiMAX versus LTE - An Overview of Technical Aspects for Next Generation Networks Technologies”, Proceedings of 9th International Symposium on Electronics and Telecommunications, pp. 132-138, 2010.
- V. Singh and V. Sharma, “Efficient and Fair Scheduling of Uplink and Downlink in IEEE 802.16 OFDMA Networks”, Proceedings of IEEE Wireless Communications and Networking Conference, pp. 29-37, 2006.
- Wimax forum, Available at: www.wimaxforum.org
- Ahmed Samy, Mohamed Hamdy and Noura Semary,, “Fast Forced Handover Technique for Load Balancing in Mobile WiMAX for Real-time Applications”, Proceedings of International Conference on Communication, Management and Information Technology, pp. 901-910, 2015.
- Wi-Max, Available at: http://electronicxtreme.blogspot.com/2006/12/wi-max.html, Accessed on 2006.
- Wi-Max, Available at: http://news.techdirt.com/news/wirless/article/6929, Accessed on 2006.
- 21talks, Available at: http://21talks.net/voip/voice-overwimax.
- S. Borst, “User-Level Performance of Channel-Aware Scheduling Algorithms in Wireless Data Networks”, Proceedings of 22nd Annual Joint Conference of the IEEE Computer and Communications Societies, pp. 44-47, 2003.
- Bo Li, Yang Qin, Chor Ping Low and Choon Lim Gwee, “A Survey on Mobile WiMAX [Wireless Broadband Access]”, IEEE Communications Magazine, Vol. 45, No. 12, pp. 70-75, 2007 [13] S. More and D.K. Mishra, “4G Revolution: WiMAX Technology”, Proceedings of 3rd International Conference on Asian Himalayas on Internet, pp. 110-116, 2013.
- Q. Zhang, W. Zhu and Y. Zhang, “End-to-End QoS for Video Delivery Over Wireless Internet”, Proceedings of the IEEE, Vol. 93, No. 1, pp. 123-134, 2005.
- Jeffrey G. Andrews, Ghos and Muhammad Rias “Fundamental of WiMAX Understanding Broadband Wireless Networking”, Prentice Hall, 2007.
- Howon Lee, T. Kwon, D Cho, G Lim and Y Chang, “Performance Analysis of Scheduling Algorithms for VoIP Services in IEEE 802.16e Systems”, Proceedings of IEEE Vehicular Technology Conference, pp. 1231-1235, 2006.
- Kamal Ali Alezabi, Fazirulhisyam Hashim, Shaiful Jahari Hashim and Borhanuddin M. Ali, “A New Tunnelled EAP based Authentication Method for WiMAX Networks”, Proceedings of IEEE Malaysia International Conference on Communications, pp. 412-417, 2013.
- D. Ma and M. Ma, “A QoS Oriented Vertical Handoff Scheme for WiMAX/WLAN Overlay Networks”, IEEE Transactions on Parallel and Distributed Systems, Vol. 23, No. 4, pp. 598-606, 2012.
- W. Wang, X. Liu, J. Vicente and P. Mohapatra, “Integration Gain of Heterogeneous WiFi/WiMAX Networks”, IEEE Transactions on Mobile Computing, Vol. 10, No. 8, pp. 1131-1143, 2011.
- Features Exploration of Distinct Load Balancing Algorithms in Cloud Computing Environment
Abstract Views :143 |
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Authors
Affiliations
1 UTU, Dehradoon, IN
2 SGT University, Gurugram, IN
3 Quantum University, Roorkee, IN
4 PSIT, Kanpur, IN
1 UTU, Dehradoon, IN
2 SGT University, Gurugram, IN
3 Quantum University, Roorkee, IN
4 PSIT, Kanpur, IN
Source
International Journal of Advanced Networking and Applications, Vol 11, No 1 (2019), Pagination: 4177-4183Abstract
The delivery of Cloud computing is a method for delivering information /services in which resources are retrieved from the Internet through web-based tools and applications, as opposed to a direct connection to a server rather than keeping files on a proprietary hard drive or local storage device. We have studied a lot of algorithm for reducing the response time of load balancing algorithm in cloud computing environment. We also measured the execution time of different algorithms. In this paper we will compare execution time, processing time of data center, response time of various algorithms.References
- Nguyen Xuan Phi, Cao Trung Tin, Luu Nguyen Ky Thu and Tran Cong Hung, ‘”Proposed Load Balancing Algorithm to Reduce Response Time and Processing Time On Cloud Computing”, International Journal of Computer Networks & Communications (IJCNC), 2018
- Gurasis Singh, Kamalpreet Kaur, “An Improved Weighted Least Connection Scheduling Algorithm for Load Balancing in Web Cluster Systems”, International Research Journal of Engineering and Technology (IRJET), p-ISSN: 2395-0072, 2018.
- Violetta N. Volkova, Liudmila V. Chernenkaya, Elena N. Desyatirikova, Moussa Hajali, Almothana Khodar, Alkaadi Osama, “Load Balancing in Cloud Computing” IEEE, 2018.
- Devika Singh1, Ashish Vashisht, “An Improved Regulated Load Balancing Approach for Cloud Computing Environment”, International Journal of Research in Advent Technology, E-ISSN: 2321-9637, 2018,
- Sambit Kumar Mishra, Md Akram Khan, Bibhudatta Sahoo, Deepak Puthal, Mohammad S. Obaidat and KF Hsiao, “Time efficient dynamic threshold-based load balancing technique for Cloud Computing” IEEE International Conference on Computer, Information and Telecommunication Systems (CITS) , Dalian, China, 21-23 July 2017.
- Desyatirikova E. N., “Kuripta O. V. Quality management in IT service management based on statistical aggregation and decomposition approach”,"Quality Management,Transport and Information Security, Information Technologies" (IT&QM&IS) , 2017, pp. 500-505. DOI:10.1109/ITMQIS.2017.8085871.
- Sobhan Omranian-Khorasani and Mahmoud Naghibzadeh, “Deadline Constrained Load Balancing Level Based Workflow Scheduling for Cost Optimization”, IEEE International Conference on Computational Intelligence and Applications, Beijing, China 8-11 Sept 2017.
- Atyaf Dhari, Khaldun I. Arif , “An Efcient Load Balancing Scheme for Cloud Computing”,Indian Journal of Science and Technology,Vol 10(11), DOI:10.17485/ijst/v10i11/110107/2017.
- Simar P.S. Anju S. and Rajesh K.,” Analysis of load balancing algorithms using cloud analyst, International Journal of Grid and Distributed Computing”, vol. 9, No. 9, pp.11-24,2016.
- D. Saranya, L. Sankara Maheswari, “Load Balancing Algorithms in Cloud Computing: A Review”, International Journal of Advanced Research in Computer Science and Software Engineering, ISSN: 2277 128X, Issue 7, 2015.
- Abhijit Aditya, Uddalak Chatterjee and Snehasis Gupta,” A Comparative Study of Different Static and Dynamic Load Balancing Algorithm in Cloud Computing with Special Emphasis on Time Factor”, International Journal of Current Engineering and Technology, P-ISSN 2347 – 5161,2015.
- Monika Kushwaha, Saurabh Gupta, “Various Schemes of Load Balancing in Distributed Systems- A Review”, International Journal of Scientific Research Engineering & Technology (IJSRET), ISSN 2278 – 0882, Issue 7, J2015.
- Kumar Nishant, Pratik Sharma, Vishal Krishna, Chhavi Gupta and Kuwar Pratap Singh, Nitin and Ravi Rastogi,“LoadBalancingofNodesinCloudUsingA nt colonyOptimization”,International Conference on Modelling and Simulation, 2012.
- Calheiros R.N. ,”CloudSim: A Novel Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services, Eprint: Australia, pp.9–17,2009.
- Anna Levina, Dean Lorenza, Giovanni Merlinob,Alfonso Panarellob, Antonio Puliafitob, Giuseppe Tricomib,”Hierarchical Load Balancing as a service for federated Cloud networks”, Computer communications (2018), doi:10.1016/j.comcom.2018.07.031.