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检索条件"主题词=scheduling algorithms"

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A Tool for Measuring Supply Functions of Execution Platforms

A Tool for Measuring Supply Functions of Execution Platforms

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IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)

作者： Martina Maggio Juri Lelli Enrico Bini Department of Automatic Control Lund University ARM Cambridge UK University of Torino Torino Italy

ISBN: (纸本)9781509024803

In operating systems, resource managers are developed according to simplicity, low overhead, low memory footprint, extensibility and efficiency. Thread schedulers are designed and developed following these implementation-related guidelines. The performance of the implementation is then tested over a set of benchmarks. However, the ability to provide real-time guarantees of these policies is rarely properly quantified. To respond to this need, we developed a publicly available tool (rt-muse), that analyzes timing properties extracted from the execution of a set of threads and it computes the lower/upper bounds to the supply function offered by the execution platform. Also, rt-muse evaluates the impact of many application and platform characteristics including the scheduling algorithm, the amount of available resources, the usage of shared resources, the memory access overhead, etc. In the experiments, we show the impact of Linux scheduling classes, shared data and application parallelism, on the delivered computing capacity. The tool provides useful insights on the runtime behavior of the applications and scheduler. For example, we detected unexpected starvation of threads scheduled by the Linux round-robin class.

关键词： Instruction sets Real-time systems scheduling Linux Operating systems Upper bound scheduling algorithms

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Matching theory based travel plan aware charging algorithms in V2G smart grid networks

Matching theory based travel plan aware charging algorithms ...

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IEEE International Conference on Communications in China (ICCC)

作者： Ming Zeng Supeng Leng Jianhua He Yan Zhang Guanhua Qiao University of Electronic Science and Technology of China China Aston University UK

The frequency, time and places of charging have large impact on the Quality of Experience (QoE) of EV drivers. It is critical to design effective EV charging scheduling system to improve the QoE of EV drivers. In order to improve EV charging QoE and utilization of CSs, we develop an innovative travel plan aware charging scheduling scheme for moving EVs to be charged at Charging Stations (CS). In the design of the proposed charging scheduling scheme for moving EVs, the travel routes of EVs and the utility of CSs are taken into consideration. The assignment of EVs to CSs is modeled as a two-sided many-to-one matching game with the objective of maximizing the system utility which reflects the satisfactory degrees of EVs and the profits of CSs. A Stable Matching Algorithm (SMA) is proposed to seek stable matching between charging EVs and CSs. Furthermore, an improved Learning based On-LiNe scheduling Algorithm (LONA) is proposed to be executed by each CS in a distributed manner. The performance gain of the average system utility by the SMA is up to 38.2% comparing to the Random Charging scheduling (RCS) algorithm, and 4.67% comparing to Only utility of Electric Vehicle Concerned (OEVC) scheme. The effectiveness of the proposed SMA and LONA is also demonstrated by simulations in terms of the satisfactory ratio of charging EVs and the the convergence speed of iteration.

关键词： Cascading style sheets scheduling Optimization Charging stations Smart grids Vehicles scheduling algorithms

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A new competitive ratio for network applications with hard performance guarantees

A new competitive ratio for network applications with hard p...

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International Conference on Signal Processing and Communications, SPCOM

作者： Han Deng I-Hong Hou Department of ECE Texas A&M University TX USA

ISBN: (纸本)9781509017478

Network applications in highly mobile systems need to employ online algorithms that do not rely on precise predictions about future events. In order to meet hard performance guarantees in the presence of unknown future events, common practice is to add redundancy to the systems. In this paper, we define a new competitive ratio that reflects the amount of redundancy needed to ensure some given performance guarantees. We study two special applications, namely, online job allocations in cloud computing and online scheduling in delayed mobile offloading, and propose online algorithms for each of them. We prove that our algorithms are optimal. By comparing our algorithms with commonly used other policies, we also show that our policies need much less redundancy than those commonly used policies to provide the same degree of performance guarantees.

关键词： Servers Resource management Redundancy Linear programming Cloud computing Electronic mail scheduling algorithms

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Voice over LTE Standards: Solutions and QoS Control Parameters in High Mobile Environments

Voice over LTE Standards: Solutions and QoS Control Paramete...

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International Conference on Advanced Information Networking and Applications Workshops (AINAW)

作者： Aida Zaier Emna Hajlaoui Ridha Bouallegue National Engineering School of Tunis University of Carthage Tunis Tunis National Engineering School of Sfax Gabes Tunisia Higher School of Communications University of Carthage Tunis Tunis

ISBN: (纸本)9781509024629

Transmitting a good quality voice over wireless networks is a challenge for service providers. Long Term Evolution (LTE), also known as one of the beyond 4G wireless network technology, is designed to have a greater delivery service for multimedia, voice, and video applications to end users. Therefore, modern cellular networks are expected to support both voice and a growing volume of data traffic. However, LTE architecture does not support native circuit switching services and relies on the IP Multimedia Subsystem (IMS) for supporting voice. Voice over Internet Protocol (VoIP) is particularly used in LTE for the delivery of the voice. In fact, one of the major challenges for VoIP over LTE is to guarantee the Quality of Service (QoS) of the VoIP calls. However, the QoS of the Voice/video/multimedia in the intricacy wireless network was studied and comparisons among the scheduling algorithms were made in this study. The evaluation of a single and thereafter multi-cells was considered for different flows such as Best Effort, VoIP and Video in mobile environment (at low and high speeds) using the LTE-Simulator. Our simulation results showed that the performance of the scheduling algorithms could enhance voice (and video) delivery quality.

关键词： Quality of service Long Term Evolution scheduling algorithms Real-time systems Measurement Wireless networks

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Blocking avoidance in wireless Networks

Blocking avoidance in wireless Networks

引用

Information Theory and Applications Workshop, ITA

作者： Shanyu Zhou Hulya Seferoglu Erdem Koyuncu University of Illinois at Chicago University of California Irvine

We investigate the performance of First-In, First-Out (FIFO) queues over wireless networks. We characterize the stability region of a general scenario where an arbitrary number of FIFO queues, which are served by a wireless medium, are shared by an arbitrary number of flows. In general, the stability region of this system is non-convex. Thus, we develop a convex inner-bound on the stability region, which is provably tight in certain cases. The convexity of the inner bound allows us to develop a resource allocation scheme; dFC. Based on the structure of dFC, we develop a stochastic flow control and scheduling algorithm; qFC. We show that qFC achieves optimal operating point in the convex inner bound. Simulation results show that our algorithms significantly improve the throughput of wireless networks with FIFO queues, as compared to the well-known queue-based flow control and max-weight scheduling.

关键词： Wireless networks Stability analysis Resource management scheduling scheduling algorithms Receivers

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New scheduling algorithm for shipping operation in steel works 16

New scheduling algorithm for shipping operation in steel wor...

引用

16th IFAC Workshop on Control Applications of Optimization, CAO 2015

作者： Tomiyama, S. Takahara, T. Matsunaga, T. Steel Research Laboratory JFE Steel Corp. Fukuyama Japan IT Innovation Leading Dept. JFE Steel Corp. Fukuyama Japan Production Control Dept. JFE Steel Corp. Kurashiki Japan

This paper proposes a new scheduling algorithm for shipping operations in steel works. In the shipping operation, steel products are handled by various kinds of machines, for example, overhead cranes in warehouses, special vehicles, forklifts and quay cranes. The operations of these machines affect each other and the situation makes the scheduling problem quite complicated. The proposed algorithm deals with shipping facilities which include warehouse buildings with plural cranes. Because some areas are accessible by plural cranes in the buildings, the movement of each crane is strictly restricted by others to prevent the collisions of cranes. The new algorithm is composed of two main steps to obtain efficient schedules and achieve short computation time. The first step assigns shipping jobs to time windows which are created by dividing the scheduling horizon, and then levels the workload of machines. The next step determines the order and operating time of jobs and develops a feasible schedule. The scheduling algorithm was applied to practical data and compared with real operations in this paper. The result shows the high performance of the new algorithm. © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： scheduling algorithms

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Fast Big Data Analysis in Geo-Distributed Cloud

Fast Big Data Analysis in Geo-Distributed Cloud

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IEEE International Conference on Cluster Computing

作者： Yue Li Laiping Zhao Chenzhou Cui Ce Yu School of Computer Science and Technology Tianjin University Tianjin China School of Computer Software Tianjin University Tianjin China National Astronomical Observatories CAS (NAOC) Beijing China

ISBN: (纸本)9781509036547

As cloud services grow to span more and more globally distributed datacenters, there is an increasingly need for scheduling algorithms to automatically place tasks across these datacenters. In geo-distributed cloud, the limited WAN bandwidth has become the major bottleneck in fast big data analytics. The scheduling algorithm needs to minimize the global completion time, by jointly optimizing task scheduling and WAN data transfer. In this paper, we model the task scheduling as a community detection problem, with respect to the dependency relations between task, data, and datacenters, and propose a Community Detection-based scheduling (CDS) algorithm, which is able to minimize the WAN data transfer volume. We utilize the real China-Astronomy-Cloud network to evaluate the proposed algorithms. Experimental results show that we can reduce the total data transfer volume by up to 40.7%, and the global completion time by up to 35.8%, compared with the Hypergraph Partition-based scheduling algorithm and the greedy scheduling algorithm.

关键词： Wide area networks Cloud computing scheduling algorithms Bandwidth Astronomy scheduling Schedules

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A novel workflow scheduling algorithm in cloud environment 2

A novel workflow scheduling algorithm in cloud environment

引用

2nd National Foundation for Science and Technology Development Conference on Information and Computer Science, NICS 2015

作者： Thanh, Toan Phan The, Loc Nguyen Doan, Cuong Nguyen Faculty of Technology Education Hanoi National University of Education Ha Noi Viet Nam Institute of Information Technology Military Institute of Science and Technology Ha Noi Viet Nam

ISBN: (纸本)9781467366397

The key factor which rules the cloud's performance is the workflow scheduling, one of the well-known problems have proven to be NP-complete. Many algorithms in the literature have been targeting the workflow scheduling problem, however, handful efficient solutions have been proposed. This paper proposes a metaheuristic algorithm called PSOi which based on the Particle Swarm Optimization method. Our experiments which arranged by using the simulation tool CloudSim show that PSOi is superior to the general algorithms called Random and RoundRobin, moreover the deviation between the solution found by PSOi and the optimal solution is negligible. © 2015 IEEE.

关键词： scheduling algorithms

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RemCare - Remote Caregiver Using Integrated Framework for People with Cognitive Disability

RemCare - Remote Caregiver Using Integrated Framework for Pe...

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IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)

作者： Jin-Hee Lee Sang Hyuk Son DGIST CPS Global Center Daegu Korea

ISBN: (纸本)9781509024803

In recent years, people with cognitive disability has increased rapidly. The increase of them considerably affects the family and society that interact with the cognitively disabled person. Children with developmental disability or patients with dementia need to monitor and track their behaviors for their safety. We design smart tracking system which effectively can help to trace their location and to monitor their activities. The system applies a wireless sensor network with an efficient sensor deployment method and an adaptive packet scheduling algorithm. In addition, it provides the real-time monitoring to observe their situation and gives a quick alerting to them and caregivers. In this paper, we present an overview of an integrated framework.

关键词： Monitoring Real-time systems Wireless sensor networks Dementia Adaptive systems scheduling algorithms Algorithm design and analysis

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Capacity enhanced scheduler for LTE downlink system based on PF algorithm

Capacity enhanced scheduler for LTE downlink system based on...

引用

Japan-Egypt International Conference on Electronics, Communications and Computers (JEC-ECC)

作者： Mohamad I. Elhadad El-Sayed M. El-Rabaie Mohammed Abd-Elnaby Transmission Telecom Egypt Cairo Egypt Department of Electronics and Electrical Communications Menoufia University Menouf Egypt

The mechanisms of allocating the resources in Long Term Evolution (LTE) cellular networks are very critical issues, because scheduling algorithms have the main responsibility for determining how to allocate radio resources for different users. In this work a dynamically adopted Proportional Fair (PF) scheduling strategy for capacity enhancement of LTE system is proposed. Performance comparison with the conventional PF downlink scheduler and the Best-Channel Quality Indicator (Best-CQI) scheduling algorithm is presented. The results of the simulation demonstrate that the introduced scheduling strategy enhances the overall system capacity and also provides a high level of fairness among all active Users Equipment (UEs). The proposed algorithm improves the average cell throughput by more than 31 %, with a slight degradation in the fairness level with respect to the conventional PF scheduling strategy.

关键词： scheduling algorithms Throughput Measurement Heuristic algorithms Long Term Evolution Algorithm design and analysis scheduling

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