Journal of Computer Networks, 2017, Vol. 4, No. 1, 1-10 Available online at http://pubs.sciepub.com/jcn/4/1/1 ©Science and Education Publishing DOI:10.12691/jcn-4-1-1 End to End QoS Metrics Modeling Based on Multi-application Environment in Network on Chip Abdelkader Saadaoui 1,* , Salem Nasri 2,3 1 Computer and Embedded System Lab (CES), ENIS, Sfax, Tunisia 2 Computer Science Department, ISET Rades, Tunisia 3 Computer Engineering Department, College of Computer, Qassim University, Kingdom Saudi Arabia *Corresponding author: saadaouiabdelkader@hotmail.com Abstract To quantitatively measure quality of service (QoS) in Network on Chip (NoC), several related aspects of the network service are often considered, such as end to end delay (EED), Throughput (Thp), Packet loss rate (PLR), etc. However, until now, no standard method of performance measurement and fewer techniques have been used to provide its definition. In fact, few papers have developed different methods to modelize QoS in NoC and provided an efficient and flexible way to monitor QoS. The originality of our approach is based on a proposition of a QoS– intellectual property module in NoC architecture to improve network performances. We implement an approach of QoS metrics modeling for NoC, using Analytic Hierarchy Process (AHP) on multi-parameter and multi-application for 4×4 mesh NoC environment. The results have shown that our QoS modeling approach is proven successful in providing a quantifiable representation. Therefore, QoS arbiter module interacts with other routers, the link utilization is balanced and network performance improved. Keywords: NoC, QoS, modeling, dynamic routing, QoS parameters, AHP Cite This Article: Abdelkader Saadaoui, and Salem Nasri, “End to End QoS Metrics Modeling Based on Multi-application Environment in Network on Chip.” Journal of Computer Networks, vol. 4, no. 1 (2017): 1-10. doi: 10.12691/jcn-4-1-1. 1. Introduction The NoC paradigm seems to be very attractive solution for the problem of the existing and future chip interconnect [1-6]. Although NoC’s researchers can borrow concepts from the computer networking domain into a chip, it is impractical to blindly reuse features of "classical" computer networks [7]. A chip employing a NoC is composed of intellectual property (IP) cores such as routers and network interfaces, connected among themselves by communicating channels [5]. Many of the applications require high throughput and performance through a regular interconnection network, so differentiated services are provided through a class of services (CoS) based QoS architecture. QoS involves guaranteeing service levels (SLs) to traffic flows, it specifies a guaranteed parameter level. In other words, QoS measures the performance degree in a data transfer system. Also, QoS is defined as service quantification that is provided by the network to the demanding core and is estimated through its parameters as well as in grid environment [7,8,9,10]. However, several attempts were made to find a quantifiable scale for QoS measurement. Currently we are working on the QoS metric problem for NoC-based system. For this purpose, we propose an approach of end-to-end QoS metrics modeling based on multi-application environment in NoC. We propose an extended approach of QoS metrics modeling and analysis based on dynamic routing for multi-application environment with multi-parameters. Therefore, researchers are looking for a projection of QoS on quantifiable space, since it is qualitative, subjective and not measurable. After choosing our QoS evaluation parameters, i.e. after Knowing the different elements that go into building the total estimating relationships, we have to determine how to quantify this information, and how to aggregate all our measurements into a meaningful metric. AHP is helpful in capturing subjective evaluation measurements in a quantitative manner and provides a useful mechanism for checking the consistency of the evaluation measurements [11]. The paper is organized as follows: Section 2 discusses the previous work, Section 3 gives an overview of the dynamic routing techniques in NoC. QoS metrics modeling requirements are presented in Section 4. Section 5 presents the experimental results, and Section 6 concludes the paper. 2. Related Works In this section, we briefly survey various QoS in NoC tentative definitions. Then, a study of QoS in NoC metrics is given. Finally, the goal behind our research work is presented.