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检索条件"主题词=scheduling algorithms"

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A survey on the impact of economies of scale on scientific communities

A survey on the impact of economies of scale on scientific c...

引用

International Conference on Advances in Computer Engineering and Applications (ICACEA)

作者： Seema Verma Rachana A. Satao Department of Computer Science SMT Kashibai Navale College of Engineering Pune India

ISBN: (纸本)9781467369121

Cloud computing is commonly characterized as a sort of computing that depends on offering computing resources instead of having neighborhood servers or individual gadgets to handle applications. The resource suppliers give adaptable resources to the client. In this paper, we propose to discover it out whether the little or medium scale scientific communities can utilize the economies of scale as a part of the cloud for its advantages. In this paper, we propose a Public Cloud model for leasing the adaptable resources from any open cloud supplier to the little or medium scale research associations. On the premise of this Public Cloud model, we are actualizing a novel strategy to handle the heterogeneous scientific workload on the cloud. The two average workloads are contemplated in this paper: High Throughput Computing (HTC) and Many Task Computing (MTC). Our workload taking care of the system can spare the aggregate resource utilization in both these workloads viably. We are proposing a novel scheduling technique, “Earlier Account Expire Prioritized with Round Robin (EAEP-RR) scheduling”, to handle the requests at cloud. At last, we can presume that our routines can advantage the scientific communities from the economies of scale in the cloud environment.

关键词： Cloud computing Communities scheduling scheduling algorithms Computational modeling Economies of scale

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scheduling in Optical Switching: Deploying Shared Wavelength Converters More Effectively

Scheduling in Optical Switching: Deploying Shared Wavelength...

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IEEE International Conference on Communications (ICC)

作者： Van Hautegem, Kurt Rogiest, Wouter Bruneel, Herwig Univ Ghent Dept Telecommun & Informat Proc TELIN SMACS Res Grp B-9000 Ghent Belgium

ISBN: (纸本)9781479920037

As internet traffic will further increase in coming years, the current network infrastructure will have to grow along in terms of capacity. To this end, optical packet/ burst switching have been proposed, allowing more efficient use of the available fiber capacity. To resolve packet contention in the involved optical switches, Fiber Delay Lines (for delay assignment) and wavelength converters (for wavelength conversion) are used to reschedule the contending packets, by means of a scheduling algorithm. Existing algorithms are effective when employed with an infinite number of converters, but generally perform poorly when the number of wavelength converters is small, as is the case in most switch prototype architectures. In this paper, several parametric cost-based scheduling algorithms are proposed that take scarcity of both FDLs and converters into account. Results obtained by Monte Carlo simulation show that these algorithms not only enable improved performance (in terms of packet loss probability), but also reduce the usage of the wavelength converters, and thus, the switch's overall energy consumption.

关键词： scheduling algorithms

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Managing load deferability to provide power regulation

Managing load deferability to provide power regulation

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IEEE PES Conference on Innovative Smart Grid Technologies (ISGT Latin America)

作者： Federico Bliman Andres Ferragut Fernando Paganini Universidad ORT Uruguay

Providing frequency regulation services in power networks has become an important part of network operation, traditionally carried out by fast responding generators. In this paper we consider regulation services from the demand side, through a new actor in the power market: a demand aggregator that manages a large number of consumer loads. The aggregator exploits the deferability of certain loads to control the consumption profile and thus reduce regulation needs, or even provide regulation services to others. We analyze this control through macroscopic ODE models inspired by queueing systems, where a fluid state represents load quantities. Two versions are considered: a one-state model that tracks the entire load population, and a two-state version that separately tracks quantities of currently deferrable and non-deferrable loads. The control input is the fraction of deferrable loads that are active, and is controlled using a combination of feedforward for tracking of a reference signal, and feedback to reduce the impact of random fluctuations. The performance of such controllers is evaluated by simulation using regulation signals from real networks.

关键词： Load modeling Frequency control Smart grids Mathematical model Analytical models Real-time systems scheduling algorithms

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Challenges for the use of data aggregation in industrial Wireless Sensor Networks

Challenges for the use of data aggregation in industrial Wir...

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IEEE International Conference on Automation Science and Engineering (CASE)

作者： Felix Dobslaw Mikael Gidlund Tingting Zhang Department of Computer and Systems Sciences Mid Sweden University Ostersund Sweden Department of Information and Communication Systems Mid Sweden University Sundsvall Sweden

The provision of quality of service for Wireless Sensor Networks is more relevant than ever now where wireless solutions with their flexibility advantages are considered for the extension/substitution of wired networks for a multitude of industrial applications. scheduling algorithms that give end-to-end guarantees for both reliability and latency exist, but according to recent investigations is the achieved quality of service insufficient for most control applications. Data aggregation is an effective tool to significantly improve on end-to-end contention and energy efficiency compared to single packet transmissions. In practice, though, it is not extensively used for process data processing on the MAC layer. In this paper, we outline the challenges for the use of data aggregation in Industrial Wireless Sensor Networks. We further extend SchedEx, a reliability-aware scheduling algorithm extension, for packet aggregation. Our simulations for scheduling algorithms from the literature show its great potential for industrial applications. Features for the inclusion of data aggregation into industrial standards such as WirelessHART are suggested, and remaining open issues for future work are presented and discussed.

关键词： Payloads Reliability scheduling algorithms Quality of service Relays Topology scheduling

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SAACO: A Self Adaptive Ant Colony Optimization in Cloud Computing

SAACO: A Self Adaptive Ant Colony Optimization in Cloud Comp...

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IEEE International Conference on Big Data and Cloud Computing (BdCloud)

作者： Weifeng Sun Zhenxing Ji Jianli Sun Ning Zhang Yan Hu School of Software Technology Dalian University of Technology Dalian China

ISBN: (纸本)9781467371841

The cloud environment is a heterogeneous, dynamic and complex environment. The characteristic of Ant Colony Optimization (ACO), such as robustness and self adaptability, can just match the cloud environment. ACO is an algorithm that imitates the ants foraging, and it has a good application in the problems that want to find the optimal solution. The task scheduling in cloud computing is also the problem that want to find the optimal solution actually. In this paper, a self adaptive ant colony optimization (SAACO) is proposed. For the drawback of PACO we proposed before, such as the parameters' selection and the pheromone's update, in SAACO, we use particle swarm optimization (PSO) to make the parameters of ACO to be self adaptive. And we also improve the calculation and update of the pheromone. The results show that SAACO has a better performance than PACO both in makespan and load balance.

关键词： Cloud computing scheduling Ant colony optimization Bandwidth Load management scheduling algorithms

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Design of DIMA scheduling algorithm based on network partition integrating model 33

Design of DIMA scheduling algorithm based on network partiti...

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IEEE/AIAA 33rd Digital Avionics Systems Conference (DASC)

作者： Han, Yu Beihang Univ Beijing 100191 Peoples R China

ISBN: (纸本)9781479950027

Distributed Integrated Modular Avionics (DIMA) system can be seen as a distributed integration of sub-function areas with integrated modular structure and switched connection on airborne environment. During the process of integration, DIMA pays more attention to the consistency performance of mission-critical and safety-critical guarantee capability among integrated core processor (ICP) and universal avionic network (UAN). However, the separated scheduling design of ICP and UAN causes the problem of consistency guarantee ability interrupt. Therefore, we propose a scheduling algorithm based on network partition integrating model to realize holistic scheduling design. In this paper, we firstly present network partition integrating model, which is based on spatial partition and bandwidth partition. The network partition integrating model is an extension of network partition technology and provides the infrastructure of time scheduling design. Based on network partition integrating model, we propose DIMA scheduling design. ICP is designed as two-level scheduling. In first scheduling level, each partition is activated one by one by using weighted round robin mode. Second scheduling level uses time-triggered scheduling design. As an intermediate node of DIMA network, the scheduling method of TT tasks and RC plus BE tasks is separately designed in UAN. According to DIMA scheduling design, we also proposed corresponding DIMA scheduling algorithm. The scheduling algorithm consists of end-system scheduling algorithm and switch scheduling algorithm. For the DIMA system, there are three steps to configure time scheduling table: 1) configure the end-system within IMA;2) configure the ports of switches within IMA;3) configure the ports of switches of UAN. This scheduling algorithm solves the mismatch problem of separated scheduling about ICP and UAN, realizes the holistic schedule of ICP and UAN and satisfies the real time performance of avionics tasks. Finally, the simulation- r

关键词： Aerospace electronics Bandwidth Iterative closest point algorithm Ports (Computers) scheduling scheduling algorithms Switches Iterative closest point algorithm avionics ZNF365 gene Switches scheduling algorithms Inductively coupled plasma Bandwidth partitions harbors

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A resource management scheme for hybrid access femtocells in LTE/LTE-A networks

A resource management scheme for hybrid access femtocells in...

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IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Ying Loong Lee Jonathan Loo Teong Chee Chuah Faculty of Engineering Multimedia University Cyberjaya Selangor Malaysia School of Science and Technology Middlesex University London United Kingdom

In Long Term Evolution (LTE)/LTE-Advanced (LTE-A) networks, hybrid access femtocells have been introduced as a tradeoff between closed and open access femtocells. However, quality of service (QoS) provisioning in hybrid access femtocells has become more challenging due to different user priority and traffic classes. Existing studies do not consider the LTE/LTE-A protocols and QoS priority of different traffic classes. In this work, a resource management scheme for prioritizing closed subscriber group (CSG) members and QoS provisioning in LTE/LTE-A hybrid access femtocells is proposed. Firstly, an admission control problem and a packet scheduling problem, which account for different user priority and QoS of different traffic classes, are formulated. A lexicographic greedy algorithm and a delay-prioritized scheduling algorithm are proposed to solve the two problems respectively. Simulation results show that the proposed scheme achieves a substantial performance gain in terms of packet loss and fairness for real-time traffic flows, albeit at the cost of lower fairness for non-real-time traffic flows.

关键词： Resource management Femtocells Admission control scheduling algorithms Delays scheduling

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Real-time streaming with millisecond granularity

Real-time streaming with millisecond granularity

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Conference on Local Computer Networks (LCN)

作者： Simon Ofner Matthias Frank Fraunhofer FKIE Bonn Germany University of Bonn Institute of Computer Science 4/Laser & Light Lab Bonn Germany

We investigate the conditions for streaming real-time laser data with commercial off-the-shelf hard- and software. We design scheduling algorithms to work around the identified limitations. We run end-to-end tests of ... 详细信息

ISBN: (纸本)9781467367714

关键词： Software Linux Computers Real-time systems Histograms scheduling algorithms Standards

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Day-ahead dispatch of Battery Energy Storage System for peak load shaving and load leveling in low voltage unbalance distribution networks

Day-ahead dispatch of Battery Energy Storage System for peak...

引用

IEEE General Meeting Power& Energy Society

作者： Kalpesh A. Joshi Naran M. Pindoriya Electrical Engineering IIT Gandhinagar Ahmedabad India

Battery Energy Storage Systems (BESS) can be used for peak load shaving and load leveling apart from other potential applications in low voltage unbalance distribution networks. This paper proposes a simple approach for phase-wise day-ahead dispatch of BESS with the main objective of peak load shaving and secondary objective of load leveling. The first stage of the exercise identifies up to six Characteristic Daily Load Profiles (CDLPs) in each phase to represent the most frequently occurring patterns of load profiles. The CDLPs are then processed with a three-stage discharge-recharge allocation algorithm. The results obtained with phase-wise dispatch strategy show benefits of this approach in unbalance distribution networks in terms of better peak load shaving and load leveling. The work presented in this article is a part of an on-going work on real-time multi-objective dispatch of BESS in microgrid environment with distributed generators.

关键词： Power demand Silicon scheduling algorithms Discharges (electric) Batteries Low voltage

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Design and implementation of a video transcoding system in cloud computing platforms

Design and implementation of a video transcoding system in c...

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IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Chung-Yi Wu Jing-Chen Huang Han-Yen Yu Jiann-Jone Chen Electrical Engineering Dept. National Taiwan University of Science and Technology Taipei Taiwan

ISBN: (纸本)9781479987467

With the prevalence of personal computer devices and Internet, it has to provide scalable video coding to serve users under heterogeneous network environments. We proposed to develop a cloud-based video transcoding system, in which a hierarchical scheduling algorithm has been developed to speed up the process. The efficiency can be maintained at 98% and processing time can be reduced to 13% smaller.

关键词： Streaming media Transcoding Resource management Heuristic algorithms Cloud computing scheduling algorithms Transform coding

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