Swati Agarwal

Work place: Department of Computer Science and Technology, UPTU University, Lucknow, U.P. India

E-mail: swati.bmas@gmail.com


Research Interests: Autonomic Computing, Computing Platform, Mathematics of Computing


Swati Agarwal is pursuing M.Tech in Computer Science and Engineering from Uttarpradesh technical university, Lucknow, India. She received degree of B.Tech in Computer Science and Engineering from Sachdeva Institute of Technology and Management, Mathura, U.P., India in 2005. Her research interest includes cloud computing and fog computing.

Author Articles
An Efficient Architecture and Algorithm for Resource Provisioning in Fog Computing

By Swati Agarwal Shashank Yadav Arun Kumar Yadav

DOI: https://doi.org/10.5815/ijieeb.2016.01.06, Pub. Date: 8 Jan. 2016

Cloud computing is a model of sharing computing resources over any communication network by using virtualization. Virtualization allows a server to be sliced in virtual machines. Each virtual machine has its own operating system/applications that rapidly adjust resource allocation. Cloud computing offers many benefits, one of them is elastic resource allocation. To fulfill the requirements of clients, cloud environment should be flexible in nature and can be achieve by efficient resource allocation. Resource allocation is the process of assigning available resources to clients over the internet and plays vital role in Infrastructure-as-a-Service (IaaS) model of cloud computing. Elastic resource allocation is required to optimize the allocation of resources, minimizing the response time and maximizing the throughput to improve the performance of cloud computing. Sufficient solutions have been proposed for cloud computing to improve the performance but for fog computing still efficient solution have to be found. Fog computing is the virtualized intermediate layer between clients and cloud. It is a highly virtualized technology which is similar to cloud and provide data, computation, storage, and networking services between end users and cloud servers. This paper presents an efficient architecture and algorithm for resources provisioning in fog computing environment by using virtualization technique.

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