Networking and Communication Engineering

A. Karthikeyan ¹, R. Sathish Kumar ²

Affiliations
1 EEE Department, VSVN Polytechnic College, Virudhunagar, IN
2 Anna University, Madurai, IN

Abstract

The power system balancing process, which includes the scheduling, real time dispatch (load following) and regulation processes, is traditionally based on deterministic models. Since the conventional generation needs time to be committed and dispatched to a desired megawatt level, the scheduling and load following processes use load and wind and solar power production forecasts to achieve future balance between the conventional generation and energy storage on the one side, and system load, intermittent resources (such as wind and solar generation), and scheduled interchange on the other side. In this paper, we propose a method for scheduling a community’s power consumption such that it becomes almost flat. Our methodology utilizes distributed schedulers that allocate time slots to soft loads probabilistically based on precalculated and predistributed demand forecast information. This approach requires no communication or coordination between scheduling nodes. Furthermore, the computation performed at each scheduling node is minimal. Obtaining a relatively constant consumption makes it possible to have a relatively constant billing rate and eliminates operational inefficiencies.

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N. M. Abroja ¹, A. Afila Parveen ¹, R. Sathish Kumar ¹

Affiliations
1 Department of MCA, Krishnasamy College of Engineering & Technology, Tamilnadu, IN

Abstract

Education infrastructure using grid computing technology is used to enhance the quality of e-learning platform used for open universities. It allows the students, faculties, searching resources and distributed repository service among universities from anywhere, anytime can be accessed. Globus Tool Kit (GTK) is a grid middleware software that provides used to resource accessing, security, sharing of data, e-learning and this work uses to Open Grid Service Architecture-Data Access Integration (OSGA-DAI) that provides database access and operation like uploading, downloading, sorting and finding. These papers explain the grid topologies for use in various organizations and in grid environment, how the user can share their data resource. From the user grid application can be used by resources broker and grid resources. The main objectives of the paper to adopt the replica management in education field this can be increase the content retrieval and loading process and many operations are performed.

Keywords

Education-Learning, Globus Tool Kit, Grid Computing, OGSA-DAI, Replica Management.

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N. M. Abroja , P. Bhuvana , R. Sathish Kumar

Abstract

Many data owners are obligatory to release the data in a variability of real world application, since it is of prominence to discovery valuable evidence stay behind the data. The motivation for this is the high scalability of the MapReduce prototype which allows for enormously parallel and distributed accomplishment over a huge number of computing nodes. This paper identifies MapReduce disputes and trials in handling Big Data with the separated of providing an suggestion of the field, simplifying better planning and management of big data developments and identifying occasions for future research in this field. Big data analytics (machine learning and interactive analytics) consists of online processing, security and privacy. Besides, current efforts aimed at refining and extending MapReduce to address recognized challenges are presented. Consequently, by detecting issues and challenges MapReduce faces when handling Big data, this study inspires upcoming Big data research.

Keywords

Big Data, De-Identification Policies, Mapreduce Overview, Policy Generation.

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