The Experts below are selected from a list of 2407545 Experts worldwide ranked by ideXlab platform
S.s. Lu - One of the best experts on this subject based on the ideXlab platform.
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Real-Time Performance reliability prediction
IEEE Transactions on Reliability, 2001Co-Authors: Huitian Lu, William J. Kolarik, S.s. LuAbstract:The purpose of this paper is to describe an approach to real-Time reliability prediction, applicable to an individual product unit, operating under dynamic conditions. The concept of conditional reliability estimation is extended to real-Time applications using Time-series analysis techniques to bridge the gap between physical measurement and reliability prediction. The model is based on empirical measurements, self-generating, and applicable to online applications. This approach has been demonstrated to the prototype level. Physical Performance is measured and forecast across Time to estimate reliability. Time-series analysis is adapted to forecast Performance. Exponential smoothing with a linear level and trend adaptation is applied. This procedure is computationally recursive and provides short-term, real-Time Performance forecasts which are linked directly to conditional reliability estimates. Failure clues must be present in the physical signals, and failure must be defined in terms of physical measures to accomplish this linkage. On-line, real-Time applications of Performance reliability prediction are useful in operation control as well as predictive maintenance.
Barry Fitzsimons - One of the best experts on this subject based on the ideXlab platform.
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NOMS - RPM real Time Performance management
NOMS 98 1998 IEEE Network Operations and Management Symposium, 1998Co-Authors: J. Seraj, A. Newcombe, P. Haraszti, S. Morris, Barry FitzsimonsAbstract:Traditionally, Performance management of telecommunications networks has been undertaken on a Network Element (NE) basis, often in an uncoordinated manner and requiring sophisticated human expertise for relatively trivial tasks. However, as networks become increasingly diverse and complex, and the demands upon them increase, this approach is more and more inefficient. Additionally, the advent of distributed processing networks, such as mobile cellular, IN (Intelligent Networks) and TINA (Telecommunication Information Networking Architecture), means that local Performance management will no longer be sufficient and co-ordination of these activities across the network is now required. The problems with centralised Performance management of networks are the volume of data, the complexity of the network, and the resultant latencies in response Times to network problems, A real Time Performance management system for telecommunications networks is described, which can form the basis of real Time decentralised control of future telecommunications networks. The proposed Performance measurement system provides open interfaces for subscription to real Time Performance information at varying degrees of abstraction, corresponding to the required management view. The measurement system takes an event-based approach to delivering firm real Time Performance information. The measurement enables real Time and near real Time control systems to be decentralised within the management network, both at a local level and at a regional level. A hierarchical approach both reduces the volume and complexity of Performance information and facilitates the development of a "management by delegation" paradigm in the management network.
Lars Christoph Schmelz - One of the best experts on this subject based on the ideXlab platform.
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WOWMOM - Automated Real Time Performance Management for Mobile Networks
2007 IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks, 2007Co-Authors: Tobias Bandh, Henning Sanneck, Georg Carle, Lars Christoph SchmelzAbstract:Real Time Performance Management (RTPM) is expected to be a key features offuture developments of mobile networks. Although it is already requested by operators of mobile networks only basic approaches have been realized. Implementing access to real Time Performance data in a mobile network, with a large number of manageable nodes, leads to a huge resource consumption. Not only network bandwidth but also processing resources. Current PM schemes can hardly be extended to support real Time Performance management. We present a policy based approach that is capable to deal with challenges imposed by the request for real Time Performance data. Typical workflows are identified and analysed. Based on these analyses a policy based Performance management system is introduced that allows a balanced configuration which does not exceed available resources but still satisfies the information requirements of the human operators.
Matthias Poloczek - One of the best experts on this subject based on the ideXlab platform.
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Comparing the Finite-Time Performance of Simulation-Optimization Algorithms
2017Co-Authors: Naijia Dong, David J. Eckman, Matthias Poloczek, Xueqi Zhao, Shane G. HendersonAbstract:We empirically evaluate the finite-Time Performance of several simulation-optimization algorithms on a testbed of problems with the goal of motivating further development of algorithms with strong finite-Time Performance. We investigate if the observed Performance of the algorithms can be explained by properties of the problems, e.g., the number of decision variables, the topology of the objective function, or the magnitude of the simulation error.
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WSC - Empirically comparing the finite-Time Performance of simulation-optimization algorithms
2017 Winter Simulation Conference (WSC), 2017Co-Authors: Naijia Anna Dong, David J. Eckman, Xueqi Zhao, Shane G. Henderson, Matthias PoloczekAbstract:We empirically evaluate the finite-Time Performance of several simulation-optimization algorithms on a testbed of problems with the goal of motivating further development of algorithms with strong finite-Time Performance. We investigate if the observed Performance of the algorithms can be explained by properties of the problems, e.g., the number of decision variables, the topology of the objective function, or the magnitude of the simulation error.
Huitian Lu - One of the best experts on this subject based on the ideXlab platform.
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Real-Time Performance reliability prediction
IEEE Transactions on Reliability, 2001Co-Authors: Huitian Lu, William J. Kolarik, S.s. LuAbstract:The purpose of this paper is to describe an approach to real-Time reliability prediction, applicable to an individual product unit, operating under dynamic conditions. The concept of conditional reliability estimation is extended to real-Time applications using Time-series analysis techniques to bridge the gap between physical measurement and reliability prediction. The model is based on empirical measurements, self-generating, and applicable to online applications. This approach has been demonstrated to the prototype level. Physical Performance is measured and forecast across Time to estimate reliability. Time-series analysis is adapted to forecast Performance. Exponential smoothing with a linear level and trend adaptation is applied. This procedure is computationally recursive and provides short-term, real-Time Performance forecasts which are linked directly to conditional reliability estimates. Failure clues must be present in the physical signals, and failure must be defined in terms of physical measures to accomplish this linkage. On-line, real-Time applications of Performance reliability prediction are useful in operation control as well as predictive maintenance.
