Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Scientific workflows are large scale loosely coupled submissions that are used by Computational Scientists. They are composed of multiple tasks with dependencies between them and are composed of many fine granular tasks. Task clustering is an optimization method that combines multiple tasks into a single job such that task execution time and system overhead is reduced and thus the whole performance is improved in a cloud environment. Though existing task clustering algorithms has significantly reduced the System overhead, yet dependencies among the tasks are not well-thought-out. This work examines the features of task by which the tasks can be clustered and developed proficient task clustering algorithm. In this work two task clustering ideas were proposed namely Horizontal Coupling Factor (HCF) based clustering and Horizontal Processing Cost (HPC) based Task Clustering. Next, the proposed algorithm have been evaluated and tested for various real world applications and the experiment results shows that the proposed approach suits best for data intensive and Compute intensive applications. The obtained results showed that the HCF and HPC task clustering strategies can significantly improve the performance by reducing the task execution time and inter task Communication delay

Department of Software Systems

School of Computer Science and Engineering

Vellore Campus

Department of Information Security

International Journal of Engineering and Advanced Technology Regular Issue

Coupling Factor and Cost Based Task Clustering Method to Optimize Task Clustering For Scientific Workflows in Cloud Environment

With the increase in efficiency of Cloud computing as a second-option to old-fashioned information processing systems, its reliability and stability in the face of faults or of faulty components has become an area with great scope for research and innovation. A typical cloud computing data centre consists of multiple servers that efficiently co-ordinate the storage, execution, and handing of users’ tasks. One of the obvious bottlenecks here are the servers themselves. Each consists of hardware devices, like processors, memory registers, network cards, etc., all of which have a scope for failure. This hardware failure can be tackled in two ways, one being a software method and the other a hardware-based or network or a connection-based solution. In this paper, we have studied the various methods and algorithms being employed to combat the issue of fault tolerance as of today, and using the data that we have collected to improve upon a current method. One of the proposed models is LLFT, which contains a Low Latency Fault Tolerance middleware for providing fault-tolerance based on the frequency of usage. Similarly, there are many areas where certain models do not work well. Hence, through the course of this paper, we hope to incorporate a tried and tested file system management method in cloud computing systems such that an efficient and secure fault tolerant model can be developed, improving upon the current methods.

World University root node

Journal of Computational and Theoretical Nanoscience

Improving Upon Current Fault Tolerance Techniques with Emphasis on Low-Latency Fault Tolerance in Cloud Systems

VIT Unitversity

International Journal of Computer Applications

Intelligent Traffic Management based on IoT

Objectives: Data visualization, the use of images to represent information, is now becoming properly appreciated due to the benefits it can bring to business. This paper focuses on the general background of data visualization and visualization techniques. Methods: Data visualization has the prospective to assist humans in analysing and comprehending large volumes of data, and to detect patterns, clusters and outliers that are not obvious using non-graphical forms of presentation. For this reason, data visualizations have an important role to play in a diverse range of applied problems, including data exploration and mining, Information retrieval and intelligence analysis. In real time various techniques have been used of which Geometric projection techniques, Iconographic display techniques, Pixel-oriented, Hierarchical techniques, Graphbased techniques are discussed. Findings: The major difficultly in big data visualization is to preserve any of the original dimensional information. The taxonomy detailed here show that the local and global structure of the data can be visualized in an interactive manner and has a massive advantage.&nbsp;

Fulltext

Indian Journal of Science and Technology

A Review on the Development of Big Data Analytics and Effective Data Visualization Techniques in the Context of Massive and Multidimensional Data

The process of detecting stolen vehicles on roads has become very difficult due to increase in the number of vehicles. The proposed technique facilitates the circumstance and aides in finding the stolen vehicles by using intelligent systems. The method is implemented using Radio Frequency IDentification (RFID) tags, Unique IDentification (UID) code, microcontroller, Arduino and LCD display. The modules incorporated extract the UID code from RFID tag and compare with the UID which is already present in database. In the case of matching, the stolen vehicle will be detected and information will be displayed to the administrator at toll plaza. The deployment of this method will provide the details of stolen vehicles without direct contact of vehicles. It has many advantages such as high precision and the system can work under extensive environment and recites from long distance.