Informatics Publishing Limited

T. Sheela ¹, J. Raja ²

Affiliations
1 Sathyabama University, IN
2 Department of IT, SSN College of Engineering, Chennai, IN

Abstract

A new algorithm is proposed to control the congestion in the network based on the minimum drop ratio. Explicit Control Protocol (XCP) is adopted for high speed network, where the queue threshold is assigned to be 85% of the queue size. At the time of congestion, whenever the queue size reaches the threshold value, a new buffer is initialized which is half the queue size. This mechanism thus prevents the drop of packets and hence the drop ratio is minimized and throughput is maximized. Performance of bandwidth utilization, throughput and drop ratio is presented.

Keywords

Network, XCP, Drop Ratio, Throughput, Queue

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T. Sheela , J. Raja

Abstract

Continuously growing needs for Internet applications that transmit massive amount of data has led to the emergence of high speed networks. The primary factor hindering the flow of Traffic is Network Congestion. Data transfer must take place without any congestion. The Internet carries certain critical data and information which need to be delivered to the receiver at all cost. Thus Congestion Detection plays a key role in high speed networks. The Traditional TCP has been used over the years to detect and control Congestion. Various algorithms such as ECN, DECbit, RED Queue Mechanism are adopted by TCP to detect Congestion. In this paper, a rational mechanism utilizing XCP protocol is used. Adopting the techniques of a new congestion detection module with effective feedback mechanism and modified window adjustment is achieved. A Separate Congestion Detection Module is developed to detect and inform immediate Congestion Detection and Control. The feedback parameters are calculated based on arrival rate, service rate, traffic rate and queue size. Resulting in no drastic decrease in window size, better increase in sending rate because of which there is a continuous flow of data without congestion. Therefore as a result of this, there is a maximum increase in throughput, high utilization of the bandwidth and minimum delay. The result of the proposed work is presented as a graph based on throughput, delay and window size. Thus in this paper, XCP protocol is well illustrated and the various parameters for Congestion Detection are thoroughly analyzed and adequately presented.

Keywords

TCP/IP, Congestion Detection, Window Management, Feedback Control, Queue Management, Explicit Control Protocol

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J. Raja ¹, N. Sabu ¹

Affiliations
1 Department of Mathematics, Indian Institute of Space Science and Technology, Valiamala P.O, Trivandrum-695 547, IN

Abstract

Two dimensional model of linearly elastic shallow shells is derived in [1] under suitable scalings on the unknowns and the data. In this paper we justify the scalings used in [1] to derive the two dimensional shallow shell model.

Keywords

Elasticity, Shallow Shells.

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J. Raja ¹, N. Sabu ²

Affiliations
1 SCL, Chandigarh, IN
2 Department of Mathematics, IIST, Trivandrum-695 547, IN

Abstract

One dimensional model of linearly elastic slender rods is derived by Trabucho and Viano using asymptotic expansion method under suitable scalings on the unknowns and the data and later Le Dret had proved the convergence of the scaled solution to the one dimensional model under the same scalings on the unknowns and data. In this paper we justify the scalings used by them to derive the one dimensional model.

Keywords

Elasticity, Rods, Asymptotics.

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V. Mohan ¹, J. Raja ², S. Jeevananthan ³

Affiliations
1 E.G.S. Pillay Engineering College, Nagapattinam, IN
2 Anna University of Technology, Tiruchirappalli, IN
3 Pondicherry Engineering College, Pondicherry, IN

Abstract

A novel hybrid pseudo randomized triangular carrier and randomized pulse position scheme for voltage source inverter is proposed in this paper in order to disperse the acoustic switching noise spectra of an induction motor drive. The proposed random pulse width modulation (RPWM) pulses are produced through the logical comparison of a pseudorandom binary sequence (PRBS) bits with two random triangular carriers. Here, the PWM pulses of the proposed scheme possess the hybrid characteristic of the random pulse position PWM and the random carrier frequency PWM. The proposed technique is evaluated using MATLAB/Simulink and the results prove an excellent harmonic spectra spreading capability of the proposed hybrid scheme as compared with conventional schemes.

Keywords

Hybrid RPWM, Pseudorandom Carrier Modulation Method, Pseudo Random Binary Sequence (PRBS), RPWM, Voltage Source Inverter.

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S. Rajarajan ¹, J. Raja ²

Affiliations
1 Sathyabama University, Jeppiaar Nagar, Chennai, IN
2 Department of Information Technology, SSN College of Engineering, Kalavakkam, Chennai, IN

Abstract

Tunable filters are playing a vital role in RF MEMS circuits and its important element to vary the frequency is varicaps. Varicaps which are designed using conventional methods commonly encountered into problems namely low Q-factor and pull-in effect. In this paper, two different modified parallel plate RF MEMS variable capacitors have been designed, simulated and their performance is analysed with 6 GHz self resonance frequency, 250 Q- factor and 2:1 tuning range, to overcome the above mentioned problems. Also, we have presented S-Parameter analysis and Q-factor analysis for these improved versions of MEMS capacitors. These tunable capacitors have been designed using Poly MUMPS to produce freestanding structures with excellent structural quality and with lateral feature sizes as small as micron.

Keywords

RF MEMS, Micro Electro Mechanical Systems, Tunable capacitor, Poly MUMPS.

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R. S. Ponmagal ¹, J. Raja ²

Affiliations
1 Department of CSE, Anna University of Technology, Tiruchirappalli, TamilNadu, IN
2 Department of ECE, Anna University of Technology, Tiruchirappalli, Tamilnadu, IN

Abstract

This paper aims to examine how the sensor information can be deployed as a service, through a new resource called ―cloud‖. The recent research issue in integrating Wireless sensor Networks with Cloud is to find a method to establish a faster communication link between the two. The wireless sensor networks are used to sense and collect the information required. The sensor information is deployed into the cloud through the sensor profile for web services. The Sensor Profile for Web Services specifies a lightweight subset of the overall Web services protocol suite that is appropriate for network-connected sensors. Cloud generally offers resources on demand. Since wireless sensor networks are limited in their processing power, battery life and communication speed, cloud computing usually offers the opposite, which makes it attractive for long term observations, analysis and use in different kinds of environments. In this paper a model is presented, which combines the concept of wireless sensor networks with the cloud computing paradigm, and show how both can benefit from this combination. Sensor data access is thus moved from loosely managed system to a well managed cloud. The integration of sensor information into the cloud through the sensor as a service paradigm proves the faster communication establishment. The scalability of this approach seems to be unlimited, since wireless sensor networks operate independently, and are connected to the cloud computing environment through a scalable number of wireless sensor network communication gateways. The cloud computing environment leads to the concept of green engineering, because it offers a massive storage of information at a distance place, which makes it very attractive. The main goal is to design a flexible architecture in which sensor network‘s information can be accessed by applications efficiently.

Keywords

Cloud, Information, Resources, Sensors, Sensor Profiles, Scalability, Web Services.

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C. Umapathi ¹, J. Raja ²

Affiliations
1 Department of Computer Science, Bharathiar University, Coimbatore, Tamil Nadu, IN
2 Department of IT, S.S.N Engineering College, Chennai, IN

Abstract

The rapid increase of World Wide Web users and the development of services with high bandwidth requirements have caused the substantial increase of response times for users on the Internet. Web latency would be significantly reduced, if browser, proxy or Web server software could make predictions about the pages that a user is most likely to request next, while the user is viewing the current page, and pre fetch their content.. In this paper, we describe Web caching scheme that capitalizes on prefetching. Prefetching refers to the me chanism of deducing forthcoming page accesses of a client, based on access log information. Web log mining methods are exploited to provide effective prediction of Web user accesses. The proposed scheme achieves a coordination between the two techniques (i.e., caching and prefetching).The prefetched documents are accommodated in a dedicated part of the cache, to avoid the drawback of incorrect replacement of requested documents. The requirements of the Web are taken into account, compared to the existing schemes for buffer management in database and operating systems. Experimental results indicate the superiority of the proposed method compared to the previous ones, in terms of improvement in cache performance.

Keywords

Prediction, Web Log Mining, Web Caching, Refetching, Association Rules.

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J. Raja ¹, M. Ramakrishnan ²

Affiliations
1 Department of Computer Science and Engineering, Sathyabama University, Rajiv Gandhi Salai, Jeppiaar Nagar, Chennai - 600119, Tamil Nadu, IN
2 School of Information Technology, Madurai Kamaraj University, Palkalai Nagar, Madurai - 625021, Tamil Nadu, IN

Abstract

In this paper, a study on cloud storage security issues and challenges such as authentication, access control, policy integration, service management, trust management, data security, regulatory compliance, privileged user access, etc are presented. In the first half of the paper, a survey on generic security issues in cloud storage is presented which suggests that third party auditor based security is best for cloud environments. In the second half, data security issues specific to Big Data is presented, which can be achieved again by using third party authentication process.

Keywords

Big Data, Cloud Storage, IaaS, PaaS, Public Auditing, SaaS, Security and Integrity, Security Issues.

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