Using Fuzzy Specifications to Manage QoS
نویسندگان
چکیده
This paper describes the use of fuzzy QoS specifications to manage quality of service. These specifications associate their membership functions with QoS levels perceived from a resource. Besides it is described the implementation of a QoS manager of fuzzy specifications. The QoS manager, denominated Mediator, has two parameters called α-cuts. One of them is used to allocate and the other to policy QoS requests. In short, these values determine thresholds for the QoS levels of the requests. These thresholds must be respected when the allocation and policy procedures are executed. Also, by applying the extension principle of fuzzy sets, Mediator accepts fuzzy specifications composed by two other specifications. Mediator is built as a CORBA application. Its primary purpose is to manage TCP traffic flow on IETF Differentiated Services Platforms.
منابع مشابه
A Novel Fuzzy Logic Base Scheduling Mechanism for Service Differentiation in IP Networks
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 sim...
متن کاملImproving the QoS in Intelligent Connected EVSE by Using RPL
Nowadays, a great portion of researches research and industrial innovation is about the electric vehicles (EV) and also EV Supply Equipment (EVSE) that play an important role in this context. EVSE requires standardization via effective communication protocols. In this paper, we propose to customize the existing Internet standard Routing Protocol for Low Power and Lossy Networks (RPL) to facilit...
متن کاملA Cross-Layer Control Based on Fuzzy Automata for Ad-Hoc WLAN QoS
This paper proposes a new interface model for crosslayer designs using generalized fuzzy automata (GFA) and fuzzy control. When using the proposed model, an upper layer is reduced to an adaptive and cognitive controller and the lower layers act as hierarchical plants. In this paper, we utilize the model in wireless LAN Quality of Service (QoS). The fuzzy controller allocates bandwidths for diff...
متن کاملImproving QoS and Service Level Agreement of Mobile Application at Transport Layer using Fuzzy Logic Mapping
Mobile applications and mobile application environment of next generation networks require enhanced quality of service (QoS) to support user’s service level agreement (SLA). This paper presents an adaptation technique at transport layer to minimize the impact of varying and adverse network condition along with security and priority to satisfy the SLA. The paper extends the transport layer funct...
متن کاملMarket-aware Requirements
Traditionally, non-functional requirements (NFRs) are specified as measurable entities to permit evaluation satisfaction; however, NFR specifications quickly become obsolete because (1) NFRs are expressed in numbers, (2) architects specify them using the correct values at design time, and/or (3) providers are constantly improving their offer, in terms of functionality and quality of service (Qo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2001