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EN
This paper describes an open architecture software package Flood Control - Multireservoir Water System (FC-MWS), developed as an environment for computer-based analysis and design of control structures and mechanisms for flood operation in multireservoir systems. The program is addressed mainly to control sys-tem developers and should provide assistance in their search for satisfactory process operation. In general, it can be used to perform experiments for various water systems with reservoirs located serially or in parallel. FC-MWS can operate as a real-time decision support tool for control center of a multireservoir water system too. A case study of the upper Vistula river basin system in the southern part of Poland is presented in the final part of the paper.
PL
Wzrostowi zapotrzebowania na moc obliczeniową oraz natężenie ruchu w sieci IP nie towarzyszy obecnie pojawianie się technologii chroniących operatorów i środowisko naturalne przed analogicznym wzrostem zapotrzebowania na energię w sektorze. Artykuł 1 przedstawia wyniki badań, których celem jest opracowanie koncepcji i realizacja systemu komputerowego do energooszczędnego sterowania obciążeniem rozproszonego centrum przetwarzania danych oraz szybkością pracy jednostek obliczeniowych i urządzeń sieciowych przekazujących komunikaty z danymi. Niniejsza praca prezentuje propozycję dwupoziomowej struktury zarządzania przydziałem bloków zadań do klastrów, a następnie do poszczególnych serwerów obliczeniowych. Decyzje o alokacji zadań są podejmowane w wyniku rozwiązania zadania minimalizacji zużycia zasobów energetycznych systemu, przy założeniu zagwarantowania wymaganego poziomu jakości usług.
EN
The proposition of a framework for energy-aware control in a large scale HPC (High Performance Computing) system is presented and discussed. The implementation consists of a global computing resource manager that is implemented in the central control level, energy-efficient backbone network connecting computing clusters and data centers and a local resource manager implemented in each cluster. The decisions about activity and power status of computer and network equipment are determined by solving the problem of minimizing the energy used by the whole HPC system. A simulation-based optimization scheme is utilized to calculate optimal allocation of a set of tasks to clusters.
4
Content available remote Optimization schemes for wireless sensor network localization
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EN
Many applications of wireless sensor networks (WSN) require information about the geographical location of each sensor node. Self-organization and localization capabilities are one of the most important requirements in sensor networks. This paper provides an overview of centralized distance-based algorithms for estimating the positions of nodes in a sensor network. We discuss and compare three approaches: semidefinite programming, simulated annealing and two-phase stochastic optimization-a hybrid scheme that we have proposed. We analyze the properties of all listed methods and report the results of numerical tests. Particular attention is paid to our technique-the two-phase method-that uses a combination of trilateration, and stochastic optimization for performing sensor localization. We describe its performance in the case of centralized and distributed implementations.
EN
Cluster computing has been identified as an important new technology that may he used to solve complex scientific and engineering problems as well as to tackle many projects in commerce and industry. In this paper we present an overview of three Linux-based SSI cluster systems. We compare their stability, performance and efficiency.
EN
The paper provides an overview of measurement techniques in sensor networks localization the physical location of nodes with unknown location. A novel localization methods, i.e. two phase algorithms based on simulated annealing and genetic algorithm are described. The numerical results presented and discussed in the final part of the paper show that these novel schemes give accurate and consistent location of the nodes in the network.
EN
Recent advances in technology have enabled the development of low cost, low power and multi functional computation devices. These devices networked through wireless bring the idea of mobile ad hoc networks and wireless sensor networks into reality. In this paper we discuss the optimization and control problems related to ad hoc networking topologies and communication. The shosrt description of wireless ad hoc and sensor networks is provided. The focus is on energy conserwation techniques and algorithms for computing the optimal transmitting ranges in order to generate a network with desired properties while reducing sensors energy consumption.
8
Content available A Software Platform for Global Optimization
63%
EN
This paper addresses issues associated with the global optimization algorithms, which are methods to find optimal solutions for given problems. It focuses on an integrated software environment - global optimization object-oriented library (GOOL), which provides the graphical user interface together with the library of solvers for convex and nonconvex, unconstrained and constrained problems. We describe the design, performance and possible applications of the GOOL system. The practical example - price management problem - is provided to illustrate the effectiveness and range of applications of our software tool.
EN
Many applications of wireless sensor networks (WSN) require information about the geographic location of each sensor node. Devices that form WSN are expected to be remotely deployed in large numbers in a sensing field, and to self-organize to perform sensing and acting task. The goal of localization is to assign geographic coordinates to each device with unknown position in the deployment area. Recently, the popular strategy is to apply optimization algorithms to solve the localization problem. In this paper, we address issues associated with the application of heuristic techniques to accurate localization of nodes in a WSN system. We survey and discuss the location systems based on simulated annealing, genetic algorithms and evolutionary strategies. Finally, we describe and evaluate our methods that combine trilateration and heuristic optimization.
EN
The rapid growth of energy demand by wired IP networks can be mitigated on hardware and software levels. While upgrading to more efficient transmission media still brings biggest savings, we take a look here at power-saving algorithms that combine the capability of setting networking equipment in arbitrary energy states which, combined with profound knowledge of the network traffic matrix, leads to considerable complex optimization problem formulations. Alternatively, lightweighted heuristic approaches are presented, built on much simpler network model but still capable to perform energy-efficient traffic engineering.
PL
Przedstawiono projekt Econet, opracowujący mechanizmy skoordynowanego oszczędzania energii na wszystkich poziomach funkcjonalnych i we wszystkich obszarach topologicznych sieci. Prace, wykonywane w projekcie przez NASK oraz Instytut Automatyki i Informatyki Stosowanej PW, skupiają się na stworzeniu struktury i algorytmów sterowania siecią. Dokonano analizy zużycia energii we współczesnym sprzede, opisano projekt interfejsu dla energooszczędnych urządzeń, zadania optymalizacji energii w obszarze sieci oraz narzędzia symulacyjnej weryfikacji konstruowanych algorytmów.
EN
Econet, whose goal is to develop energy-efficient network hardware and control logic, is presented. The main contribution of Research and Academic Computer Network and of Inst. of Computation and Control Engineering to the project consists in creation of a network control structure and algorithms. Power consumption analysis for contemporary devices, API design for green networking components, energy optimization problem formulation and tools for verification through simulation, arę presented as the current main project achievements by the authors.
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