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Sathish Kumar, R.
- A Water-Filling Based Scheduling Algorithm for the Smart Grid
Authors
1 EEE Department, VSVN Polytechnic College, Virudhunagar, IN
2 Anna University, Madurai, IN
Source
Networking and Communication Engineering, Vol 5, No 6 (2013), Pagination: 312-316Abstract
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.- Selection of Construction Materials using Multiple Attribute Decision Making (MADM) Approach
Authors
1 NICMAR, Hyderabad, IN
Source
International Journal of Technology, Vol 5, No 2 (2015), Pagination: 181-186Abstract
Selection of a construction material is one of the important tasks in any construction project as it is influenced by many factors like cost, durability, eco friendliness, maintenance, availability, strengths, efficiency, etc. Initially, there is a trend where they used to consider only cost and efficiency factors in the selection of a construction material. Project executives face the difficulty to arrive at a reasonable decision considering all the other influencing factors. Different varieties of construction materials are available in the market with diverse properties; hence it becomes difficult to choose a particular type of material considering all parameters having importance. Here, we are using a simple methodology to make a selection of material on multiple attribute decision making (MADM) approach in place of the existing practice. MADM is making preference decisions (selecting, ranking, screening, prioritization, classification) over the available alternatives that are characterized by attributes. In order to select a material, a simple optimization method, Simple Additive Weighting (SAW) is used. This is also called as weighted sum method. It is the simplest and still the widest used MADM method.. By using SAW method the most suitable material can be determined. The result of this method is highly dependent on the weightages of attributes and may vary from time to time. This study will be useful as a decision making tool and for increasing the confidence in selecting the materials in big projects.Keywords
Multiple Attribute Decision Making, Simple Additive Weighting.- Uses of Grid Computing in Educational Infrastructure
Authors
1 Department of MCA, Krishnasamy College of Engineering & Technology, Tamilnadu, IN
Source
Networking and Communication Engineering, Vol 10, No 4 (2018), Pagination: 78-82Abstract
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.- Challenges for De-Identification Policies using MapReduce in Big Data
Authors
Source
Networking and Communication Engineering, Vol 10, No 6 (2018), Pagination: 125-129Abstract
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.