Sandip Roy

Fuzzy based dynamic load balancing scheme for efficient edge server selection in Cloud-oriented content delivery network using Voronoi diagram

Any given Euclidean space can be partitioned into non-overlapping regions using Voronoi diagram and the Delaunay triangulation connects sites using nearest-neighbor fashion. Realistically in this context, all the edge servers are scattered over the Earth surface and can be clustered using Voronoi diagram. Now nearest edge server selection by Delaunay triangulation over the Voronoi diagram is our prime target. Due to the large demand of Internet content coming from burst crowd, performance of the Cloud-oriented content delivery networks is drastically reduced. To improve the said performance degradation, nearest edge server selection is a primary goal of cloud service provider (like Akamai Technologies, Amazon CloudFront, Mirror Image Internet etc.). Empirically all the time load of the nearest edge server is not eligible for responding the user request. Therefore load balancing is also important criteria for selecting suitable edge server. In this paper, we have presented Fuzzy Based Least Response Time (FLRT) dynamic load balancing algorithm and which is effective for crisps input from different heterogeneous system. Thus, FLRT is a novel paradigm which can select nearest neighbor edge server from users current location where response time and load of the edge server is lowest.

On Demand IOPS Calculation in Cloud Environment to Ease Linux-Based Application Delivery

Today’s era of cloud computing and everlasting demands for real-time analysis of the storage data on cloud, it is essential for IT industries to have cognizance about the storage performance. Cloud is elastic computing model where users can hire computing and on demand storage resources from a remote infrastructure and its popularity depends on low cost and on demand availability. Simultaneous execution of huge number of data-intensive applications on the public cloud call for a huge amount of storage in order to access the persistent data leads to degradation of overall system performance. IT personnel have to be assisted with storage performance measurement for prediction of best storage need. Input/Output Operations Per Second (IOPS) calculation helps to determine the amount of I/O’s storage to run. This IOPS calculation is incorporated in cloud environment to alleviate Linux based application delivery.

SSeS: A Self-configuring Selective Single-Path Routing Protocol for Cloud-Based Mobile Wireless Sensor Network

Mobile wireless sensor networks (MWSN) are most popular for new generation of sensor networks. Now a days’ many applications such as health monitoring, environment monitoring or surveillance, the performance of MWSNs are much more versatile than WSNs. Some protocols from MANET such as AODV, DSR and GPSR are able to work on this environment. This manuscript has focused on two major issues. Firstly, formulating an energy-aware selective stable single-path routing protocol for MWSNs that is pertinent to the present challenges of the researchers. Secondly, presenting a germane architecture that can accumulate the data and synchronize with cloud database at periodic interval in order to predict about ominous situation. Coda of the manuscript presents the simulation result of our proposed algorithm and behavioural analysis of successful packet delivery from source to sink node with respect to node density and node mobility condition. Our proposed single-path selection methodology ameliorates the overall network lifetime in case of high network traffic.