Hungarian method based Resource Allocation Scheme for Vehicular Cloud Networks

The computing resources of a cloud are dispersed geographically in a different servers, vehicles obtain the services through the network. It is important to develop the efficient and cost effective resource allocation schemes in Vehicular Cloud Network (VCN). Innovative schemes are required to allocate the resources so that efficient utilization of resources is obtained in VCN environment. Managing the vehicle demands, minimization of the processing time, reduction of the resource cost are key parameters to be addressed in VCN. In this paper, we propose the Hungarian method based resource allocation scheme in VCN. The objective of the proposed scheme is to effectively provide the computing resources to the task. The proposed mehod scheme optimally allocates the computing resources with significant reduction in the cost. The proposed method improves the resource utilization efficiently with optimization of resource cost.

[1]  Reza Ebrahimi Atani,et al.  A cluster-based vehicular cloud architecture with learning-based resource management , 2014, 2014 IEEE 6th International Conference on Cloud Computing Technology and Science.

[2]  Jing Chen,et al.  A Cloud Resource Allocation Method Supporting Sudden and Urgent Demands , 2018, 2018 Sixth International Conference on Advanced Cloud and Big Data (CBD).

[3]  Lin Ma,et al.  A utility-based resource allocation scheme in cloud-assisted vehicular network architecture , 2015, 2015 IEEE International Conference on Communication Workshop (ICCW).

[4]  S. Padmavathi,et al.  Dynamic Resource Allocation Scheme in Cloud Computing , 2015 .

[5]  Sherali Zeadally,et al.  VANET-cloud: a generic cloud computing model for vehicular Ad Hoc networks , 2015, IEEE Wireless Communications.

[6]  V. P. Anuradha,et al.  A survey on resource allocation strategies in cloud computing , 2014, International Conference on Information Communication and Embedded Systems (ICICES2014).

[7]  Gábor Fazekas,et al.  Dynamic Resource Allocation in Cloud Computing , 2017, Acta Polytechnica Hungarica.

[8]  V. Vinothina A Survey on Resource Allocation Strategies in Cloud Computing , 2012 .

[9]  Abdelkader H. Ouda,et al.  Optimal and suboptimal resource allocation techniques in cloud computing data centers , 2017, Journal of Cloud Computing.

[10]  Kuang-Ching Wang,et al.  A Fast Cloud-Based Network Selection Scheme Using Coalition Formation Games in Vehicular Networks , 2015, IEEE Transactions on Vehicular Technology.

[11]  Yang Yang,et al.  Efficient resource management techniques in cloud computing environment: a review and discussion , 2018 .

[12]  Azzedine Boukerche,et al.  A cooperative and adaptive resource scheduling for Vehicular Cloud , 2017, 2017 IEEE Symposium on Computers and Communications (ISCC).

[13]  Sunilkumar S. Manvi,et al.  Resource management for Infrastructure as a Service (IaaS) in cloud computing: A survey , 2014, J. Netw. Comput. Appl..

[14]  Rabi Prasad Padhy,et al.  Service Support Aware Resource Allocation Policy for Enterprise Cloud-based Systems , 2013, CloudCom 2013.

[15]  Rong Yu,et al.  Cooperative Resource Management in Cloud-Enabled Vehicular Networks , 2015, IEEE Transactions on Industrial Electronics.

[16]  Rong Yu,et al.  Toward cloud-based vehicular networks with efficient resource management , 2013, IEEE Network.

[17]  Der-Jiunn Deng,et al.  Resource Allocation in Vehicular Cloud Computing Systems With Heterogeneous Vehicles and Roadside Units , 2018, IEEE Internet of Things Journal.

[18]  Radhya Sahal,et al.  Optimum Resource Allocation of Database in Cloud Computing , 2014 .

[19]  Gongjun Yan,et al.  Security challenges in vehicular cloud computing , 2013, IEEE Transactions on Intelligent Transportation Systems.

[20]  Seokho Son,et al.  A SLA-based Cloud Computing Framework : Workload and Location Aware Resource Allocation to Distributed Data Centers in a Cloud , 2012 .