Hani Attar*, Mohammad R. Khosravi, Shmatkov Sergiy Igorovich, Kuchuk Nina Georgievan and Mohammad Alhihi Pages 1 - 7 ( 7 )
Background: Multi-Service Streams Network (MSSN) has become such a popular technique in modern applications including, medical fields for E-health applications, such as medical systems and patient monitoring network systems. Recent E-health researches intend to compare MSSN data communications with traditional methods such as on the internet.
Methods: Based on the above-mentioned fact, the proposed work in this paper is directed to obtain detailed analysis of the MSSN applied over E-health, using the G/G/1 analysis method, including traffic probabilistic-time characteristics to establish its self-similar processes. Moreover, the paper proposes the purpose of estimating the queue service efficiency and overload management by the essential criterion, which takes into account the time delay, time jitter, and the packet loss probability expected in the E-health applications. Based on the necessary standard for the proposed uses, the results of queue operations and also relevant buffer space algorithms are evaluated. Moreover, the estimated qualitative measurement of the network development for the proposed model is obtained and compared with the most common techniques adapted in E-health applications.
Results: The collected results show that MSSN is an applicable technique to be applied over the E-health applications mainly on its excellent time delay, jitter, packet losses probability and others.
Conclusions: The main aim of this paper is to obtain a full detailed analysis on the MSSN that is applied over E-health applications, using the mass service capacity for the mathematical model class G/G/1 in the most general case of a single-channel system.
Multi-service, G/G/1 analysis method, self-similar processes, jitter, medical data communications
Department of Energy Engineering, Zarqa University, Department of Electrical and Electronic Engineering, Shiraz University of Technology, Krazin Kharkiv National Univeristy, Krazin Kharkiv National University, Philadelphia University, Amman