en A Novel Fuzzy Logic Base Scheduling Mechanism for Service Differentiation in IP Networks کنترل Control پژوهشي Research <p dir="ltr" style="text-align: justify;"><span style="text-align: justify;">Quality of Service (QoS) refers to a set of rules or techniques that help the network administrators use the available&nbsp;</span><span style="text-align: justify;">network resources optimally to manage the effects of congestion and to treat the applications according to their needs.&nbsp;</span><span style="text-align: justify;">The differentiated services architecture (DiffServ) allows providing quality of service to users. The major DiffServ&nbsp;</span><span style="text-align: justify;">premise is that individual flows with similar QoS requirements can be aggregated in larger traffic sets and identified as&nbsp;</span><span style="text-align: justify;">classes. Relative service differentiation is a simple and easily deployed approach compared to the absolute&nbsp;</span><span style="text-align: justify;">differentiation service. In this paper, we use fuzzy logic systems to design a novel algorithm for queue management and&nbsp;</span><span style="text-align: justify;">scheduling of classified packets in the differentiated service IP networks. The proposed model consists of two parts. The&nbsp;</span><span style="text-align: justify;">first part of the proposed model is used for absolute differentiated services and tries to optimize QoS parameters and to&nbsp;</span><span style="text-align: justify;">share sources between different requests fairly. The second part of the proposed fuzzy system is dedicated to relative&nbsp;</span><span style="text-align: justify;">Diffserv model. As one of the famous existing algorithms for both buffer management and scheduling in the relative&nbsp;</span><span style="text-align: justify;">differentiated service is Jobs algorithm, in the second parts of the proposed system, we modify the traditional Jobs&nbsp;</span><span style="text-align: justify;">algorithm and proposed a fuzzy based modification of existing Jobs algorithm. The proposed algorithm uses different&nbsp;</span><span style="text-align: justify;">fuzzy logic controllers to differentiate the delay of traffic classes. Simulation results confirm that the proposed fuzzy&nbsp;</span><span style="text-align: justify;">system, can provide better delay differentiated than the traditional algorithms.</span></p> <p style="text-align: justify;">Quality of Service (QoS) refers to a set of rules or techniques that help the network administrators use the available network resources optimally to manage the effects of congestion and to treat the applications according to their needs. The differentiated services architecture (DiffServ) allows providing quality of service to users. The major DiffServ premise is that individual flows with similar QoS requirements can be aggregated in larger traffic sets and identified as classes. Relative service differentiation is a simple and easily deployed approach compared to the absolute differentiation service. In this paper, we use fuzzy logic systems to design a novel algorithm for queue management and scheduling of classified packets in the differentiated service IP networks. The proposed model consists of two parts. The first part of the proposed model is used for absolute differentiated services and tries to optimize QoS parameters and to share sources between different requests fairly. The second part of the proposed fuzzy system is dedicated to relative<br> Diffserv model. As one of the famous existing algorithms for both buffer management and scheduling in the relative differentiated service is Jobs algorithm, in the second parts of the proposed system, we modify the traditional Jobs algorithm and proposed a fuzzy based modification of existing Jobs algorithm. The proposed algorithm uses different fuzzy logic controllers to differentiate the delay of traffic classes. Simulation results confirm that the proposed fuzzy system, can provide better delay differentiated than the traditional algorithms.</p> Quality of Service (QoS), Proportional Differentiated Services, Scheduling Mechanisms, Buffer Management, Fuzzy system Quality of Service (QoS), Proportional Differentiated Services, Scheduling Mechanisms, Buffer Management, Fuzzy system 58 68 http://jiaeee.com/browse.php?a_code=A-10-1-179&slc_lang=en&sid=1 M. H. Yaghmae M. H. Yaghmae 1003194753284600644 1003194753284600644 Yes M. Bahekmat 1003194753284600645 1003194753284600645 No G. Khojasteh Toussi G. Khojasteh Toussi 1003194753284600646 1003194753284600646 No