262

Dr. Mallikarjuna Reddy Doodipala

Professor

Internet Traffic Modeling, Performance Analysis of Routers & Fitting Procedures-Markovian Approach Internet Traffic is bursty and self similar [1-2].The long range dependent characteristics of the self-similar traffic severely degrade network performance. Fractal Traffic Models, such as Fractional Brownian Motion (FBM), Fractional Auto Regressive Integrated Moving Average (FARIMA) etc., although parsimonious are asymptotic in nature. Therefore, they are not suitable traffic models for the queuing based performance analysis when the buffer depth is small. There is an argument that traditional short range dependent (SRD) traffic, such as Markovian arrivals processes (MAPs) could be used to emulate the self-similarity over the desired time-scale [3,4]. Hence self-similar internet traffic input to a router (switch) can be modeled as queuing system with MAP input. Performance measures such as Packet Loss Probability, Mean Waiting Time against Traffic Intensity or Buffer Capacity will be computed. All these performance measures involve steady state probability vector of MAP. Here research problem could be of twofold: First we shall try to fit the self-similar traffic based on second-order statistics of counts using Markovian Models. Second we shall investigate the way of computing steady state vector of Markovian System on lines of matrix geometric solutions. From the mathematics point of view, one has to compute this steady state probability vector using matrix geometric solutions. This is an interdisciplinary research consisting of Statistics, Computer Science and Mathematics. Expertise from statistics as well as mathematics is indeed. References: 1. W.E Leland, M.S.Tqqu, W.Willinger and D.V.Wilson “ on the self-similar nature of Ethernet Traffic”(Extended Version) IEEE/ACM Tran. Network Vol-2 no.1 pp.1-15 Feb-1994. 2. M.Crovella and A.Bestavros “ Self-Similarity in worldwide wise web traffic: Evidence and possible causes” proc.1996 ACM SIGMETRICS International Conference on measurement and modeling of Computer System PP.160-169 May-1996. 3. A.T.Anderson and B.F.Nielson “ A Marcovian approach for moduling packet traffic with long range dependency. IEEE T.Sel.Areas commum Vol.16 No 5.PP 719-738 June-1998. 4. S.K.Shao, M.R.Pareti, M.G.Tsao, H.W.Tsao and J.Wu, “ Generalized Variance based on Markovian fitting for Self-Similar Traffic Modeling” IEICE Trans.commum.Vol E84-B No.8 PP 4659-4663,Dec-2005.

Hanamkonda,Warangal,Andhra Pradesh,India

264

Ibrahim Patel

Faculty of Engineering College

Speech recognition, Image Processing Digital signal processing.

Narsapur ,Andhra Pradesh,India

266

Vivek Madhukarrao Sonde

Assistant Professor

Mechanical Engineering, Industrial Engineering, Production and Manufacturing, Mathematical Model, Human Power Mechanism, Wood Chipper

Nagpur,Maharashtra,India

268

Vivek Madhukarrao Sonde

Assistant Professor

Mechanical Engineering, Industrial Engineering, Production and Manufacturing, Mathematical Model, Human Power Mechanism, Wood Chipper

Nagpur,Maharashtra,India

270

Dr Mehul Patel

Assistant Professor

Computer Science , ERP, CRM, Management, E-COMMERCE AND Value Educations

ANAND,Gujarat,India

272

Vemireddy suryanarayanareddy

Assistant professor

Power systems,power electronics,control system ,machines

Nellore,Andhra Pradesh,India

274

Ramesh L

Assistant Professor

Information security

ooty,Tamil Nadu,India

276

BELLO ONIYIDE ALABI

LECTURER

Soft Computing,Networking, Cyber Security, Usage of ICT

ADO EKITI,Ondo,Nigeria

278

luay abdulwahid shihab

University Teacher

Crypto-Compression Image Scheme using DWT and AES-Arnold Transforms

basrah,Al Ba,rah,Iraq

280

NIKUNJ B. PATEL

Assistant Professor

Microbiology, Drug Discovery, Bioinformatics, Cosmetic Microbiology, Enzymology

Visnagar,Gujarat,India