Abstract: In this paper, we assess Quality of Services (QoS) requirements in wireless sensor networks (WSNs).QOS is a key component of the IMS. The QoS for a particular session is determined by a number of factors, such as the maximum bandwidth that can be allocated to the user based on the user’s

Mode (ATM) is designed not only to support a wide range of traffic classes with diverse flow characteristics, but also to guarantee the different quality of service QOS requirements. The QOS may be measured in terms of cell loss probability and maximum cell delay. In this paper, ATM networks

Mode (ATM) is designed not only to support a wide range of traffic classes with diverse flow characteristics, but also to guarantee the different quality of service QOS requirements. The QOS may be measured in terms of cell loss probability and maximum cell delay. In this paper, ATM networks

to the users. To achieve this goal, an efficient grid scheduling algorithm is required. The problem of scheduling on data intensive application in terms of QOS requirements is challenging and it significantly influences the performance of grids. The existing algorithms for scheduling the data intensive

scheduling algorithms simply shuffle packet processing orders according to some established rates or priorities for different data flows, to test a scheduling algorithm requires setting up the appropriate control state at each router along the data flow paths. I was challenged to design a set-up protocol

The performance of electronic commerce systems will have a major impact on their acceptability to users. Different users will also demand different levels of performance from the system, that is, they will have different Quality of Service (QoS) requirements. Electronic commerce systems

of this protocol. Distribution of this memo is unlimited. This memo specifies the network element behavior required to deliver Controlled-Load service in the Internet. Controlled-load service provides the client data flow with a quality of service closely approximating the QoS that same flow would receive from

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problem, in the present work we design a ZF THP-based pre-filtering algorithm for multiple antenna multi-user networks in which the base station allocates the transmit power according to the QoS requirement of each ac-tive user. In doing so, we consider a system in which the number of active users may

Abstract. This paper describes work that is part of a more general investigation into how Active Network ideas might benefit large scale Distributed-Virtual-Environments (DVEs). Active Network approaches have been shown to offer improved solutions to the Scalable Reliable Multicast problem, and this is in a sense the lowest level at which Active Networks might benefit DVEs in supporting the peer-to-peer architectures considered most promising for large scale DVEs. To go further than this, the key benefit of Active Networking is the ability to take away from the application the need to understand the network topology and delegate the execution of certain actions, for example intelligent message pruning, to the network itself. The need to exchange geometrical information results in a type of traffic that can place occasional, short-lived, but heavy loads on the network. However, the Level of Detail (LoD) concept provides the potential to reduce this loading in certain circumstances. This paper introduces the performance modelling approach being used to evaluate the effectiveness of active network approaches for supporting DVEs and presents an evaluation of messages filtering mechanisms, which are based on the (LoD) concept. It describes the simulation experiment used to carry out the evaluation, presents its results and discusses plans for future work. Keywords: Distributed-Virtual-Environments; Active-Networking; Level-of-Detail; Packet-Filtering. 1.