Rajesh Bose

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.

Server Utilization-Based Smart Temperature Monitoring System for Cloud Data Center

The rise in demand for cloud computing services has thrown sharply into focus the subject of energy efficiency and cooling methods. The words “green” and “computing” can often translate into commercial and production successes, vendors and consumers alike are keen to optimize the services offered through cloud data centers as much as possible. While various existing methods help in bringing down rising temperatures of servers operating in cloud data center infrastructure, most authors would agree that pushing in cold air requires energy to be fed to cooling equipment and the associated infrastructure. Based upon existing research conducted, we approached the problem in a new light—concentrating on server utilization to regulate the temperature. We introduce Mean Utilization Factor concept that allows detecting and regulating the amount of cool air that is to be channeled in and around the servers within a cloud data center to bring down the operating temperature.

Fog-Based Hierarchical Search Optimization

In the modern world, information can comprise large amounts of data generated from personal and business use. Cloud computing provides an efficient way of handling those data. The introduction of Fog computing is a useful addition in the scenario of Cloud computing. Apart from data storing and processing, it offers various services to the users connected through the Internet. Fog computing along with cloud technology makes the task of data and information processing easier. It complements cloud computing in such a way that a major portion of data stored in cloud is taken away thus restoring the efficiency of the system. This paper focuses on search optimization in cloud with the help of fog technique. It not only considers the access to recent data but also deals with archival of the data. By separately dealing with recent and archived data, the proposed technique makes data retrieving more time efficient. Moreover it also reduces the complexities of copying data in a central server. The data can be retrieved directly from the cloud connected with Billboard Manager. Thus, this gives users a decentralized system.

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.

An Adaptive Cloud Communication Network Using VSAT with Enhanced Security Implementation

Cloud computing has opened up a whole new vista wherein it is possible to segregate and compartmentalize the process of constructing infrastructure with the intent of providing certain services to end users from the very business itself. In this paper, we have introduced a communication network that is aimed at augmenting network performance in situations where a company needs to operate a branch through means other than wired or mobile networks. Our proposed model utilizes a mix of VSAT and cable technologies that has been designed to improve efficiency of a cloud data center. The introduction of VSAT connectivity also decreases chances of a network breach as the communication conduit in such is not generally shared. Though, VSAT technology continues to lag behind other forms of communication, its ability to bypass complex routing can be harnessed to improve energy efficiency and network performance while bringing down carbon emission rates.