International Journal of Information Technology and Computer Science(IJITCS)
ISSN: 2074-9007 (Print), ISSN: 2074-9015 (Online)
Published By: MECS Press
IJITCS Vol.10, No.8, Aug. 2018
Optimization of Resource Mining in Distributive Sharing (ORMDS) Scheme for Future Heterogeneous Network
Full Text (PDF, 320KB), PP.18-23
In future heterogeneous network communication systems, driven by the evolution of today’s most demanding applications, resource allocation and its mining will play an increasingly significant role in our daily life for different use of applications facing a rapid growth in data traffic demands recently. In this work based on future network architecture, we proposed a scheme called Optimization of Resource Mining in Distributive Sharing (ORMDS) for better utilization of in-house residual buffer to improve performance of the network in-terms of maximizing the efficiency, minimizing network delay, call drop and buffer mining. A distributed buffer allocation and mining in the framework is proposed to facilitate different multimedia application in future network. Resource is measured and updated in the buffer table of router. Buffer table is updated based on execution of optimization computation model, which uses optimization seeking model for determining the value of objective function. This minimum value of objective function will improve the resource utilization of the network. The proposed scheme reduces the mining time of the buffer in sharing system and optimizes the delay by using distributed sharing option. This ultimately gives optimum resource sharing at a different instant of time.
Cite This Paper
Satyanarayan K. Padaganur, Jayashree D. Mallapur, "Optimization of Resource Mining in Distributive Sharing (ORMDS) Scheme for Future Heterogeneous Network", International Journal of Information Technology and Computer Science(IJITCS), Vol.10, No.8, pp.18-23, 2018. DOI: 10.5815/ijitcs.2018.08.03
Ranesh Kumar Naha, and Mohamed Othman: Optimized Load Balancing for Efficient Resource Provisioning in the Cloud[S] IEEE 2nd International Symposium on Telecommunication Technologies (ISTT), Langkawi, Malaysia 2014)
A.S. Milani, N.J.Navimipour: Load balancing mechanisms and techniques in the cloud environments: Systematic literature review and future trends[J]. Elsevier, Journal of Network and computer application, 2016
Banani Das, Sudipta Roy:Load Balancing Techniques for Wireless Mesh Networks: A Survey[R]. IEEE Int. Symposium on Computational and Business Intelligence, 2013
Krishnanjali A.Magade, Abhijit Patankar:Techniques for Load Balancing in Wireless LAN's[C]. IEEE Int. Con. on Communication and Signal Processing, April, 2014
Dibyajyoti Guha, S.S. Pathak:Load Balancing using Past Information of Queue[C]. IEEE Int. Conf. 2011.
Shiao-Li Tsao, et al:A Dynamic Load-Balancing Scheme for Heterogeneous Wireless Networks[C]. IEEE WCNC'14 Track 3 (Mobile and Wireless Networks), 2014.
Chen Yuan-yuan, Qi Bing, Luo Yi-ting, Tang Liang-rui, : A Hybrid Dynamic Load Balancing Algorithm in Heterogeneous Wireless Packet Networks[C]. IEEE Int. Con. Fuzzy Systems and Knowledge Discovery (FSKD), 2012.
Zhixiong Ding, Xingjun Wang and Wenming Yang:A Dynamic Load Balancing Algorithm in Heterogeneous Network[C]. IEEE 7th Int. Conf. on Intelligent Systems, Modelling and Simulation, 2016
O. A. Rahmeh and P. Johnson:A Load Balancing Scheme for Latency Optimization in Grid Networks[C] IEEE Int. Conf. 2010.
A M Koushika, S Thamarai Selvi:Load Balancing Using Software Defined Networking In Cloud Environment[C] IEEE, Int. Conf. on Recent Trends in Information Technology, 2014
Minho Choi, Junhyung Kim, Sooyeol Yang, Namkoo Ha, and Kijun Han:Load Balancing for Efficient Routing in Wireless Sensor Networks[C], IEEE IMSCCS.2008.42.
Xin Song1, Liangming Wu2, Xin Ren1, and Jing Gao1 :Load Balancing Algorithm Based on Neural Network in Heterogeneous Wireless Networks[M] Springer, LNCS 9377, pp. 463–472, 2015.
Averill Law and David Kelton : Simulation Modeling and Analysis[M]. TMH 3rd edition, 2003.
Chiapin Wang and Xiagring Li: A Buffer-Aware Resource Allocation Scheme for 4G LTE Systems[S]. 2013 IEEE 17th International Symposium on Consumer Electronics (ISCE).
Xin Song et al: Load Balancing Algorithm Based on Neural Network in Heterogeneous Wireless Networks[M]. Springer LNCS 9377, pp. 463–472, 2015.
Anuj Aggarwal, Rajesh Verma, Ajit Singh :An Efficient Approach for Resource Allocations using Hybrid Scheduling and Optimization in Distributed System", International Journal of Education and Management Engineering(IJEME), Vol.8, No.3, pp.33-42, 2018.DOI: 10.5815/ijeme.2018.03.04
Sivaraj C, Alphonse P J A, Janakiraman T N,:Energy-efficient and Load Distributed Clustering Algorithm for Dense Wireless Sensor Networks[J]. International Journal of Intelligent Systems and Applications (IJISA), Vol.9, No.5, pp.34-42, 2017. DOI: 10.5815/ijisa.2017.05.05