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International Conference on Renewable Energy Research and Applications (ICRERA)

作者： Huan Ma Qun Chen Kang Hu Yuanhang Dai Lei Chen Fei Xu Yong Min Department of Engineering Mechanics Tsinghua University Beijing China

ISBN: (纸本)9781538620960;9781538620953

An effective way to solve the problem of wind power curtailment is to install heat storage (HS) facilities in CHP plants. However, the existing power grid does not have the ability to schedule the heat storage facilities. In this paper, we have developed the combined heat and power dispatching system to schedule the power plants as well as the heat storage facilities for the maximum effect of wind power accommodation. The results show that cooperating with the existing scheduling system, the combined heat and power dispatching system has fine-tuned the initial schedules with the adjustment of the heat storage facilities to achieve the desired effect of improving the wind power consumption. Meanwhile, the maximum heat storage amount of the HS facility that limits the capacity of increasing wind power accommodation. What's more, the capacity can be affected when the heat load varies seasonally owing to the external characteristics of the CHP unit.

关键词： Cogeneration Schedules scheduling algorithms Linear programming

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An algorithm for a bi-objective parallel machine problem with eligibility, release dates and delivery times of the jobs

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IFAC-PapersOnLine 2016年第12期49卷 1614-1619页

作者： Mateo, Manuel Teghem, Jacques Tuyttens, Daniel Avda. Diagonal 647 p7 Barcelona08028 Spain University of Mons Polytechnic Faculty Laboratory of Mathematics and Operational Research Belgium

The scheduling of parallel machines is a well-known problem in many companies. Nevertheless, not always all the jobs can be manufactured in any machine and the eligibility appears. Based on a real-life problem, we present a model which has three different machines, called as high, medium and low level respectively. The set of jobs to be scheduled on these three parallel machines are also distributed among these three levels: one job from a level can be manufactured in a machine of the same or higher level. But a penalty appears when a job is manufactured in a machine different from the higher level. Besides, there are release dates and delivery times associated to each job. The tackled problem is bi-objective with the criteria: minimization of the final date-i.e. the maximum for all the jobs of their completion time plus the delivery time-and the minimization of the total penalty generated by the jobs. In a first step we revisited possible heuristics to minimize the final date on a single machine. In a second step a heuristic is proposed to approximate the set of efficient solutions and the Pareto front of the bi-objective problem. All the algorithms are experimented on various instances. © 2016

关键词： Job shop scheduling Multiobjective optimization scheduling scheduling algorithms Delivery time eligibility Parallel machine Pareto front Release date

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Multilevel queue model for Indian Region Broadcast Network (IRBN) over satellite

Multilevel queue model for Indian Region Broadcast Network (...

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International Conference on ent Computing and Control Systems (ICICCS)

作者： F. Saiyed Makhduma Sudhir Agrawal Chirag A. Patel Gujarat Technological University Ahmedabad Gujarat IN Department of DCTD ISRO Ahmedabad India Department of Computer Science Gujarat Technological University Ahmedabad India

ISBN: (纸本)9781538639016

Half of the community cannot get to the well off data that are available on the web because of some geological or different requirements. Satellite communication is useful in such circumstances. Satellite Communication use has turned out to be across the board and pervasive all through the nation for such varied applications to exploit the extraordinary capacities regarding scope and outreach. This paper present a concept of Indian Region Broadcast Network (IRBN) which provide the information using geostationary satellite to the IRBN consumer. Satellite has a remarkable communicate nature, so utilizing satellite information can be communicated and number of client can get to those data. In Indian Region Broadcast Network there is a requirement for a powerful planning to deal with the scheduling of data, Error Managemnet, Queue management, Cache Management etc. We present our significant work toward scheduling and queue management using a multilevel queue for a distinct class of information.

关键词： Satellite broadcasting scheduling algorithms Earth Schedules Wireless communication

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An effective approach for improving responsiveness of Total Bandwidth Server

An effective approach for improving responsiveness of Total ...

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International Conference of Information and Communication Technology for Embedded Systems (IC-ICTES)

作者： Doan Duy Kiyofumi Tanaka Japan Advanced Institute of Science and Technology (JAIST) Nomi City Japan

ISBN: (纸本)9781509048106

As a result of increasing in diversity and complexity, real-time embedded systems have to deal with both periodic and aperiodic tasks. In such systems, it is expected that response time of aperiodic tasks is as short as possible. Total Bandwidth Server (TBS) is one of effective task scheduling algorithms for a mixture of periodic and aperiodic tasks. As a successor to TBS, Adaptive TBS (ATBS) is an algorithm where TBS is enhanced with prediction of execution times. Virtual release advancing (VRA) is an additional technique for TBS to shorten response time of tasks and Enhanced VRA (EVRA) is the extended version of VRA with lightweight complexity. In this paper, combination of ATBS and EVRA is examined to further improve the responsiveness of TBS. Simulation results show that the combination can reduce response times by up to 25% compared with TBS under heavy loads, while maintaining the schedulability and relatively low time complexity of the system.

关键词： Time factors Prediction algorithms Servers Bandwidth Embedded systems scheduling algorithms Complexity theory

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Harvey flooding rescue in social media

Harvey flooding rescue in social media

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IEEE International Conference on Big Data

作者： Zhou Yang Long Hoang Nguyen Joshua Stuve Guofeng Cao Fang Jin Department of Computer Science Texas Tech University Lubbock Texas Department of Geosciences Texas Tech University Lubbock Texas

Social media provided a significant communication platform for rescuing people when Harvey hit Houston area. In this devastating flooding crisis, the overloaded official emergency institutes were not able to respond quickly due to the burst of call for help in a very short period of time. In this circumstance, many volunteers and people who needed help often post their information on social media such as Twitter and Facebook. How to organize volunteers smartly and efficiently to help people is an extremely challenging and significant problem considering the constraints of volunteer's time slots, urgent priorities, etc. In this paper, we propose three rescue scheduling algorithms to explain how to provide victims timely help by the volunteers on social media.

关键词： scheduling algorithms Support vector machines Twitter Emergency services

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Minimizing communication overhead in window-based parallel complex event processing

arXiv

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arXiv 2017年

作者： Mayer, Ruben Tariq, Muhammad Adnan Rothermel, Kurt Institute for Parallel and Distributed Systems University of Stuttgart Stuttgart Germany

Distributed Complex Event Processing has emerged as a well-established paradigm to detect situations of interest from basic sensor streams, building an operator graph between sensors and applications. In order to detect event patterns that correspond to situations of interest, each operator correlates events on its incoming streams according to a sliding window mechanism. To increase the throughput of an operator, different windows can be assigned to different operator instances-i.e., identical operator copies-which process them in parallel. This implies that events that are part of multiple overlapping windows are replicated to different operator instances. The communication overhead of replicating the events can be reduced by assigning overlapping windows to the same operator instance. However, this imposes a higher processing load on the single operator instance, possibly overloading it. In this paper, we address the trade-off between processing load and communication overhead when assigning overlapping windows to a single operator instance. Controlling the trade-off is challenging and cannot be solved with traditional reactive methods. To this end, we propose a model-based batch scheduling controller building on prediction. Evaluations show that our approach is able to significantly save bandwidth, while keeping a user-defined latency bound in the operator instances. Copyright © 2017, The Authors. All rights reserved.

关键词： scheduling algorithms

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Trade-Off between spectral efficiency and energy efficiency in multi-cell uplink networks

Trade-Off between spectral efficiency and energy efficiency ...

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International Conference on Advanced Communication Technology (ICACT)

作者： Hyunwoo Nam Bang Chul Jung Dept. of Electronics Engineering Chungnam National University Republic of Korea

ISBN: (纸本)9781509048922

In this paper, we investigate the effect of user scheduling and transmit power control on trade-off between spectral efficiency and energy efficiency in multi-cell uplink networks. We assume that each user adaptively controls the transmit power according to its generating interference to other cell base stations (BSs) and each BS schedules the user having the largest effective channel gain among users in a cell. The users transmit data with the peak power, Pmax, if the generating interference to other cell BSs is smaller than a particular threshold, With the joint interference-aware power control (IAPC) and user scheduling, the trade-off between spectral efficiency and energy efficiency becomes significantly improved as the number of users in each cell increased, compared with the conventional maximum signal-to-noise ratio (maxSNR) user scheduling and minimum interference-to-noise ratio (minINR) user scheduling. In addition, the power consumption becomes significantly reduced with the IAPC and user scheduling for a given spectral efficiency.

关键词： Interference Energy efficiency scheduling algorithms Power control Cellular networks Wireless communication Uplink

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Radio resource management in LTE femtocell networks

Radio resource management in LTE femtocell networks

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IEEE International Symposium on Network Computing and Applications

作者： Sultan Alotaibi Robert Akl College of Engineering University of North Texas Denton TX

In wireless network system the resources are limited. Therefore, managing resources is considered as a challenging task. The resource are distributed among attached UEs, so allocating resources needs to be well controlled. Packet scheduler in LTE network is responsible for assigning resources to attached UEs. Also, femtocell network is considered as promising solution for poor channel in indoor environment. Femtocell deployment within macrocell (traditional base station) would increase the capacity of the cell. Therefore, incubating robust Packet Scheduler scheme within femtocell would deliver better capacity. In this work Packet Scheduler scheme is proposed. It performs with consideration of maximizing the capacity as well as preserving the fairness among UEs. A simulation is conducted in order to evaluate the performance of the proposed scheme. The result shows that it outperforms well-known PF scheduler in terms of cell aggregated throughput and average throughput of UEs.

关键词： Throughput scheduling algorithms Measurement Base stations Long Term Evolution Resource management Femtocell networks

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A mixed-integer programming model for integrated production and maintenance

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IFAC-PapersOnLine 2016年第12期49卷 556-561页

作者： Hnaien, F. Yalaoui, F. Mhadhbi, A. Nourelfath, M. ICD-LOSI UMR-CNRS 6281 University of Technology of Troyes 12 rue Marie Curie Troyes10010 France Finaxys 27 Rue des Poissonniers Neuilly-sur-Seine92200 France Department of Mechanical Engineering Laval University QuebecQCG1V 0A6 Canada

This paper deals with the production planning and preventive maintenance scheduling on a single machine multi-product capacitated lot-sizing problem (CLSP). The machine is assumed to be subject to random failures. Preventive maintenances at the beginning of each production period to reduce the risk of failure and minimal repairs at failure is considered. The aim is to minimize the sum of the total production and maintenance costs related to inventory, backorder, production, set-up, preventive maintenance (PM), and minimal repair (MR) under demand satisfaction and machine capacities constraints over the entire horizon. Using the Weibull model, we present a mixed-integer linear programming (MIP) model to solve the problem. © 2016

关键词： Preventive maintenance Integer programming Planning Problem solving Production control Repair scheduling algorithms Capacitated lot sizing problem Integrated production Minimal repair Mixed integer linear programming Mixed Integer Linear Programming (MIP) Mixed integer programming model Preventive maintenance (pm) Production Planning

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PARALLEL IMPLEMENTATION OF THE COUPLED HARMONIC OSCILLATOR

arXiv

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arXiv 2017年

作者： Anas, Al-Oraiqat M. Taibah University Department of Computer Sciences & Information Kingdom of P.O. Box 2898 Saudi Arabia

This article presents the parallel implementation of the coupled harmonic oscillator. From the analytical solution of the coupled harmonic oscillator, the design parameters are obtained. After that, a numerical integration of the system with MATLAB, which is used as a tool of benchmark evaluation, is performed. Next, parallel implementation is performed using a well-known approach like OpenMP and WinAPI. Taking into account the errors of basic parameters of the simulated process, the generated oscillations of the proposed parallel realization are almost identical to the actual solution of the harmonic oscillator model. Test ways to optimize the parallel architecture of computing processes for software implementations of the considered application is carried out. The developed model is used to study a fixed priority scheduling algorithm for real-time parallel threads execution. The proposed parallel implementation of the considered dynamic system has an independent value and can be considered as a test for determining the characteristics of multi-core systems for time-critical simulation problems. Copyright © 2017, The Authors. All rights reserved.

关键词： scheduling algorithms

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