Search results for "Distributed computing"

showing 10 items of 622 documents

Fully Polynomial Time Approximation Scheme for the Two-Parallel Capacitated Machines Scheduling Problem Under Unavailability Constraint

2010

Abstract Decision Support Systems (DSS) ensure the computer-based support for the conscientious decision-making in solving problems that require a large amount of information processing and complex scenarios. DSS for Transportation (DSST) are intelligent systems that are used at operational and organizational management levels. Operating a DSST in a public transportation web-based monitoring system is presented in this paper.

Mathematical optimizationDecision support systemJob shop schedulingbusiness.industryDistributed computingIntelligent decision support systemInformation processingGeneral MedicinePolynomial-time approximation schemeConstraint (information theory)Public transportUnavailabilitybusinessMathematicsIFAC Proceedings Volumes
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Scheduling shared continuous resources on many-cores

2014

We consider the problem of scheduling a number of jobs on m identical processors sharing a continuously divisible resource. Each job j comes with a resource requirement rj∈[0,1]. The job can be processed at full speed if granted its full resource requirement. If receiving only an x-portion of r_j, it is processed at an x-fraction of the full speed. Our goal is to find a resource assignment that minimizes the makespan (i.e., the latest completion time). Variants of such problems, relating the resource assignment of jobs to their processing speeds, have been studied under the term discrete-continuous scheduling. Known results are either very pessimistic or heuristic in nature. In this paper, …

Mathematical optimizationJob shop schedulingComputer scienceDistributed computingApproximation algorithmJob assignmentUnit sizeCompletion timeResource assignmentMultiprocessor schedulingScheduling (computing)Proceedings of the 26th ACM symposium on Parallelism in algorithms and architectures
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MECHANISM DESIGN FOR OPTIMAL CONSENSUS PROBLEMS

2006

We consider stationary consensus protocols for networks of dynamic agents with fixed and switching topologies. At each time instant, each agent knows only its and its neighbors’ state, but must reach consensus on a group decision value that is function of all the agents’ initial state.We show that our protocol design is the solution of individual optimizations performed by the agents. This notion suggests a game theoretic interpretation of consensus problems as mechanism design problems. Under this perspective a supervisor entails the agents to reach a consensus by imposing individual objectives. We prove that such objectives can be chosen so that rational agents have a unique optimal proto…

Mathematical optimizationMechanism designDynamic agentsComputer sciencemedia_common.quotation_subjectDistributed computingmechanismcontainment controlRational agentStationary consensus protocolsNetwork topologyTopologyUniform consensusComputer Science::Multiagent SystemsSwitching topologiesComputer Science::Systems and ControlDynamic agents; Protocol design; Stationary consensus protocols; Switching topologiesSettore MAT/09 - Ricerca OperativaFunction (engineering)Protocol designProtocol (object-oriented programming)Game theoryMulti agent systemsmedia_common
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Wireless sensor network coverage problem using modified fireworks algorithm

2016

Wireless sensor networks are emerging technology with increasing number of applications, and consequently an active research area. One of the problems pertinent to wireless sensor networks is the coverage problem with number of definitions, depending on the assumed conditions. In this paper we consider hard optimization area coverage problem with the goal of finding optimal sensor nodes positions that maximize probabilistic coverage of the area of interest. For such type of optimization problem swarm intelligence stochastic metaheuristics have been successfully used. In this paper we propose a modified enhanced fireworks algorithm for wireless sensor network coverage problem and compare it …

Mathematical optimizationOptimization problemComputer scienceDistributed computingParticle swarm optimization020206 networking & telecommunications02 engineering and technologySwarm intelligenceKey distribution in wireless sensor networksComputer Science::Networking and Internet Architecture0202 electrical engineering electronic engineering information engineeringMobile wireless sensor network020201 artificial intelligence & image processingMulti-swarm optimizationMetaheuristicWireless sensor network2016 International Wireless Communications and Mobile Computing Conference (IWCMC)
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Energy Efficient Consensus Over Complex Networks

2015

The need to extract large amounts of information from the environment to have precise situation awareness and then react appropriately to certain events has led to the emergence of complex and heterogeneous sensor networks. In this context, where the sensor nodes are usually powered by batteries, the design of new methods to make inference processes efficient in terms of energy consumption is necessary. One of these processes, which is present in many distributed tasks performed by these complex networks, is the consensus process. This is the basis for certain tracking algorithms in monitoring and control applications. To improve the energy efficiency of this process, in this paper we propo…

Mathematical optimizationSpatial networkComputer scienceDistributed computingSignal ProcessingLogical topologyEnergy consumptionElectrical and Electronic EngineeringHierarchical network modelComplex networkNetwork topologyWireless sensor networkEfficient energy useIEEE Journal of Selected Topics in Signal Processing
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Optimal Local Routing Strategies for Community Structured Time Varying Communication Networks

2017

International audience; In time varying data communication networks (TVCN), traffic congestion, system utility maximization and network performance enhancement are the prominent issues. All these issues can be resolved either by optimizing the network structure or by selecting efficient routing approaches. In this paper, we focus on the design of a time varying network model and propose an algorithm to find efficient user route in this network. Centrality plays a very important role in finding congestion free routes. Indeed, the more a node is central, the more it can be congested by the flow coming from or going to its neighborhood. For that reason, classically, routes are chosen such that…

Mathematical optimization[INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI]Computer scienceNode (networking)Distributed computing[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI]Community structure01 natural sciencesTelecommunications network010305 fluids & plasmasCommunity structure[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]Data communication networks modelTraffic congestionBetweenness centrality0103 physical sciencesNetwork performanceSystem utilityRouting (electronic design automation)010306 general physicsCentralityCloseness and betweenness centrality
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Evaluating activator-inhibitor mechanisms for sensors coordination

2007

The possibility to employ reaction-diffusion models to build spatial patterns in sensor networks has been advocated in other works. Nevertheless it has not been investigated how the biologically-inspired solutions perform in comparison to more traditional ones taking into account specificities of sensor networks like severe energy constraints. In this paper we present some preliminary results on the comparison between a biologically inspired coordination mechanism based on activator-inhibitor interaction and a simple mechanism, where nodes do not communicate but activate their sensing circuitry according to some probability.

Mechanism (biology)Computer sciencebusiness.industryDistributed computingProbabilistic logicMechanism basedArtificial intelligencebusinessWireless sensor networkEnergy (signal processing)2007 2nd Bio-Inspired Models of Network, Information and Computing Systems
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Towards Dynamic Scripted pNFS Layouts

2012

Today's network file systems consist of a variety of complex subprotocols and backend storage classes. The data is typically spread over multiple data servers to achieve higher levels of performance and reliability. A metadata server is responsible for creating the mapping of a file to these data servers. It is hard to map application specific access patterns to storage system specific features, which can result in a degraded IO performance. We present an NFSv4.1/pNFS protocol extension that integrates the client's ability to provide hints and I/O advices to metadata servers. We define multiple storage classes and allow the client to choose which type of storage fits best for its desired ac…

MetadataComputer sciencebusiness.industryServerDistributed computingComputer data storageOperating systemNetwork File Systemcomputer.software_genrebusinesscomputerMetadata server2012 SC Companion: High Performance Computing, Networking Storage and Analysis
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Using On-Demand File Systems in HPC Environments

2019

In modern HPC systems, parallel (distributed) file systems are used to allow fast access from and to the storage infrastructure. However, I/O performance in large-scale HPC systems has failed to keep up with the increase in computational power. As a result, the I/O subsystem which also has to cope with a large number of demanding metadata operations is often the bottleneck of the entire HPC system. In some cases, even a single bad behaving application can be held responsible for slowing down the entire HPC system, disrupting other applications that use the same I/O subsystem. These kinds of situations are likely to become more frequent in the future with larger and more powerful HPC systems…

MetadataFile systemComputer scienceOn demandDistributed computingDATA processing & computer scienceLustre (file system)ddc:004computer.software_genrecomputerGlobal file systemBottleneckBeeGFS
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One Phase Commit: A Low Overhead Atomic Commitment Protocol for Scalable Metadata Services

2012

As the number of client machines in high end computing clusters increases, the file system cannot keep up with the resulting volume of requests, using a centralized metadata server. This problem will be even more prominent with the advent of the exascale computing age. In this context, the centralized metadata server represents a bottleneck for the scaling of the file system performance as well as a single point of failure. To overcome this problem, file systems are evolving from centralized metadata services to distributed metadata services. The metadata distribution raises a number of additional problems that must be taken into account. In this paper we will focus on the problem of managi…

MetadataFile systemComputer scienceStorage Resource BrokerDistributed computingServerScalabilityData_FILESMeta Data ServicesNamespacecomputer.software_genrecomputerMetadata repository2012 IEEE International Conference on Cluster Computing Workshops
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