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QOS REQUIREMENTS IN WSN-SURVEY

by Er. Rekha Rani, Dr. Sona Malhotra
"... 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 s ..."
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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

Bandwidth allocation in ATM Network for different QOS Requirements

by Abstract—for Future Broad B, Asynchronous Transfer
"... 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 in whic ..."
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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

Bandwidth allocation in ATM Network for different QOS Requirements

by H. El-madbouly
"... 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 in whic ..."
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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

An ACO Algorithm for Scheduling Data Intensive Application with Various QOS Requirements

by S. Aranganathan, K. M. Mehata
"... Grid computing is rapidly growing in the distributed heterogeneous environment for utilizing and sharing large scale resources to solve complex scientific problems. The main goal of grid computing is to aggregate the power of widely distributed resources and provide non trivial QOS services to the u ..."
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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

RSVP: A New Resource Reservation Protocol

by Lixia Zhang, Stephen Deering, Deborah Estrin, Scott Shenker, et al. , 1993
"... Whe origin of the RSVP protocol can be traced back to 1991, when a team of network researchers, including myself, started playing with a number of packet scheduling algorithms on the DARTNET (DARPA Testbed NETwork), a network testbed made of open source, workstation-based routers. Because scheduling ..."
Abstract - Cited by 1005 (25 self) - Add to MetaCart
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

Managing database server performance to meet qos requirements in electronic commerce systems

by Patrick Martin, Wendy Powley, Hoi-ying Li, Keri Romanufa - International Journal on Digital Libraries , 2002
"... 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 are the inte ..."
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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

Specification of the controlled-load network element service

by J. Wroclawski , 1997
"... This document specifies an Internet standards track protocol for the Internet community, and requests discussion and suggestions for improvements. Please refer to the current edition of the "Internet Official Protocol Standards " (STD 1) for the standardization state and status of this pro ..."
Abstract - Cited by 420 (9 self) - Add to MetaCart
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

On per-session end-to-end delay and the call admission problem for real-time applications with QOS requirements

by David Yates, James Kurose , Don Towsley, Michael G. Hluchyj , 1994
"... ..."
Abstract - Cited by 8 (0 self) - Add to MetaCart
Abstract not found

NON-LINEAR PRE-CODING FOR MIMO MULTI-USER DOWNLINK TRANSMISSIONS WITH DIFFERENT QOS REQUIREMENTS

by Luca Sanguinetti, Michele Morelli
"... An efficient non-linear pre-filtering technique based on Tomlinson-Harashima pre-coding (THP) has recently been proposed by Liu and Krzymien for multiple antenna multi-user systems. The algorithm is based on the Zero-Forcing (ZF) criterion and assumes a number of transmit antennas equals to the numb ..."
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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

T. BALIKHINA et al: THE EVALUATION OF AN ACTIVE NETWORKING... THE EVALUATION OF AN ACTIVE NETWORKING APPROACH FOR SUPPORTING THE QOS REQUIREMENTS OF DISTRIBUTED VIRTUAL ENVIRONMENTS

by Tatiana Balikhina, Ali Maqousi, Faculty Information Technology
"... 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 ..."
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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.
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