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检索条件"主题词=scheduling algorithms"

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EDF Schedulability Analysis on Mixed-Criticality Systems with Permitted Failure Probability

EDF Schedulability Analysis on Mixed-Criticality Systems wit...

引用

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

作者： Zhishan Guo Luca Santinelli Kecheng Yang The University of North Carolina Chapel Hill ONERA The French Aerospace Lab Toulouse

Many safety critical real-time systems are considered certified when they meet failure probability requirements with respect to the maximum permitted incidences of failure per hour. In this paper, the mixed-criticality task model with multiple worst case execution time (WCET) estimations is extended to incorporate such system-level certification restrictions. A new parameter is added to each task, characterizing the distribution of the WCET estimations -- the likelihood of all jobs of a task finishing their executions within the less pessimistic WCET estimate. An efficient algorithm named LFF-Clustering is derived for scheduling mixed-criticality systems represented by this model. Experimental analyses show our new model and algorithm out-perform current state-of-the-art mixed-criticality scheduling algorithms.

关键词： Probabilistic logic Estimation Timing scheduling Real-time systems Analytical models scheduling algorithms

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AN IMPROVED HONEY BEES LIFE scheduling ALGORITHM FOR A PUBLIC CLOUD

AN IMPROVED HONEY BEES LIFE SCHEDULING ALGORITHM FOR A PUBLI...

引用

proc 2014 inter conf contemporary comp informatics (ic3i)

作者： Garg, Anjuli Krishna, C. Rama NITTTR Dept Comp Sci Chandigarh India

ISBN: (纸本)9781479966295

Cloud computing is a technology which computes the resources and delivered as a service over a network in virtual form. Cloud computing is a bigger and broad concept which allows people to access the services through the use of internet from various devices. It has rapidly gained the popularity and captures the IT industries, colleges and institutes in recent years. Due to its advanced service benefits, numbers of users are increasing day-by-day. Hence, the need of task scheduling in cloud is increasing. Task scheduling is done to allocate the tasks onto the resources effectively and efficiently. A number of scheduling algorithms have been developed till now. A good scheduling strategy has the capability to adapt to changing environment and type of tasks. In this paper, we proposed a meta-heuristic scheduling algorithm i.e. improved honey bees life scheduling algorithm for a public a cloud (IHBSLA). The new scheduling algorithm is simulated using Cloudsim toolkit. Experimental results showed that our proposed algorithm performs 50% better than honey bees life scheduling algorithm (HBLSA) in terms of cost.

关键词： cloud computing scheduling Cloudsim toolkit improved honey bees life scheduling algorithm meta-heuristic scheduling algorithm public cloud Algorithm design and analysis Cloud computing scheduling scheduling algorithms Sociology Statistics

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Cluster-based Myopic and Non-myopic scheduling for Wireless Sensor Network

Cluster-based Myopic and Non-myopic Scheduling for Wireless ...

引用

3rd IEEE Students' Technology Symposium (IEEE TechSym)

作者： Mantri, Dnyaneshwar S. Pawar, Pranav M. Prasad, Neeli Rashmi Prasad, Ramjee Aalborg Univ Ctr TeleInFrastruktur Aalborg Denmark

ISBN: (纸本)9781479926084

In Wireless Sensor Networks (WSNs) a sensor node periodically produces data which is processed and then transmitted to the base station (BS) for analysis. A key challenge in the WSNs is to schedule the activity of the node in the cluster based environment for improvement in throughput, energy consumption and delay. In this regards, the paper proposes Cluster-based Myopic and Non-myopic scheduling algorithm (CMNS) which considers the conflict free schedule based on the current and next state. It considers TDMA as the MAC layer protocol and schedules the aggregated packets with consecutive slots. Simulation studies show that, CMNS reduces the number of conflicts, energy consumption and increases the throughput as compared with state-of-the-art solutions.

关键词： access protocols scheduling time division multiple access wireless sensor networks BS CMNS MAC layer protocol TDMA WSNs base station cluster based environment cluster-based myopic and nonmyopic scheduling algorithm consecutive slots energy consumption sensor node wireless sensor network Delays Energy consumption Schedules scheduling algorithms Throughput Time division multiple access Wireless sensor networks

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Design exploration of inrush current aware controller for nonvolatile processor

Design exploration of inrush current aware controller for no...

引用

IEEE Non-Volatile Memory Systems and Applications Symposium (NVMSA)

作者： Yongpan Liu Fang Suy Zhibo Wangy Huazhong Yang Dept. of Electronic Engineering Tsinghua University Beijing China Tsinghua University Beijing Beijing CN

ISBN: (纸本)9781467366892

Leakage power consumption has become a critical limitation in the normally off low-power systems. Power gating provides a promising solution to reduce leakage energy but cannot avoid data loss. Nonvolatile processor has paved the way to achieve zero leakage power while maintaining data. However, nonvolatile processor faces severe inrush current problem when all nonvolatile memories are backed up in parallel. A large inrush current will occur and induce IR drop, which deteriorates the stability of the entire system. This paper proposes a distributed backup control architecture for nonvolatile processors to cope with the inrush current problem. Furthermore, we devise corresponding algorithms to accelerate backup operations under given maximum tolerable current constraints. The proposed techniques are evaluated on a simulation platform and a prototype chip. Experimental results demonstrate up to 26.3% reduction in backup time compared with the sequential backup strategy under the same inrush current constraint.

关键词： Surges Nonvolatile memory Benchmark testing Prediction algorithms Algorithm design and analysis scheduling algorithms Power demand

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A field-tested QoS scheduler for diverse traffic flows over mobile networks

A field-tested QoS scheduler for diverse traffic flows over ...

引用

International Conference on Wireless and Optical Communications ( WOCC)

作者： Sheng-Chia Tseng Chih-Wei Huang Tung-Lung Lu Chiu-Ti Chiang Wen-Hsin Wei Department of Communication Engineering National Central University Taoyuan Taiwan Smart Network System Institute Institute for Information Industry Taipei Taiwan

LTE and WiMAX are the most important radio access technologies in the fourth generation mobile networks providing broadband access. The technologies bring strong QoS support, especially for multimedia services such as real-time video streaming, requiring bounded packet loss rate and delay. To reach these goals, effective packet scheduling schemes are needed to allocate radio resources. The function is fundamental and very challenging, particularly when considering system level performance and QoS requirements from users. In this paper, we present a low-complexity field-tested QoS downlink scheduler. Besides proportional fairness, the novel mechanism performs unified resource evaluation across traffic flows honoring individual QoS parameters. A resource multiplier is designed to preserve a relative weighting ratio for real-time traffic and prevent low priority flows from starvation. The waste of resources due to block-based allocation is also eliminated. The testing in both lab and field environments shows satisfactory overall throughput gain and most importantly the effective weighted distribution of resources across diverse traffic flows.

关键词： Quality of service Resource management Real-time systems scheduling algorithms Throughput Phase shift keying Mobile computing

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Analysis and improvements in energy consumption models for RTS

Analysis and improvements in energy consumption models for R...

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International Symposium on Applied Computational Intelligence and Informatics ( SACI)

作者： Cristina S. Stângaciu Andreea M. Horvath Mihai V. Micea Vladimir I. Creţu Voicu Groza Computer and Software Engineering Department Politehnica University Timişoara Romania School of Electrical Engineering and Computer Science University of Ottawa

In this paper we perform an analysis of the main software methods for consumption reduction in real time systems (RTS). The study covers both scheduling methods and energy consumption models for RTS, where we focus on sensor nodes. Further on, we propose a new consumption model for a large number of node configurations, which suites most of the main scheduling algorithms. We also introduce a software environment which integrates the new model and provides a set of reports and graphical results to compare the power consumption efficiency of the scheduling algorithms.

关键词： Energy consumption Voltage control scheduling algorithms Real-time systems Time-frequency analysis Analytical models scheduling

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Concurrent Transmission scheduling for WPANs with Adaptive Data Rate

Concurrent Transmission Scheduling for WPANs with Adaptive D...

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IEEE Global Communications Conference (GLOBECOM)

作者： Cheng, Maggie X. Ye, Quanmin Cai, Lin Missouri Univ Sci & Technol Dept Comp Sci Rolla MO 65409 USA Univ Victoria Dept Elect & Comp Engn Victoria BC V8W 2Y2 Canada

ISBN: (纸本)9781479935123

We consider the maximum throughput scheduling problem in a millimeter-wave wireless personal area network in which users can use adaptive modulation and coding schemes to change their data rates. The scheduling problem is to map transmissions to time slots so that the total throughput is maximized. Due to the ultra-wide bandwidth of the mm Wave band, bad scheduling tends to waste significant channel resource. It is worth the effort to consider a more sophisticated scheduling scheme than the simple serial TDMA scheme. The challenge is that the achieved data rate of one flow is limited by the interference from other transmissions in the same slot, which is unknown until the scheduling decision is known. We propose two scheduling algorithms for variable data rate transmissions. The first algorithm is a greedy algorithm, which always chooses the best option at the moment;the second one uses sorting to decide the order that flows are included in a slot. Both algorithms are interference-aware. The algorithms can be applied to transmissions with omnidirectional antennas as well as directional antennas. The simulation results show that the proposed algorithms achieve higher throughput than previous work for adaptive-rate scheduling.

关键词： scheduling algorithms

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Multi-Variant Time Constrained FlexRay Static Segment scheduling

Multi-Variant Time Constrained FlexRay Static Segment Schedu...

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10th IEEE International Workshop on Factory Communication Systems (WFCS)

作者： Dvorak, Jan Hanzalek, Zdenek Czech Tech Univ FEE Dept Control Engn CR-16635 Prague Czech Republic

ISBN: (纸本)9781479932351

The FlexRay bus is a modern standard used in the automotive industry. It offers deterministic message transmission with zero jitter while using time-triggered scheduling in the static segment. When several vehicle variants (i.e. different models and their versions) share the same signal, the car manufacturers require to schedule such signal at the same time in all vehicle variants. This requirement simplifies the signal traceability and diagnostics in different vehicle variants using the same platform and simplifies reuse of components and tools. In this paper, we propose a first fit based heuristic algorithm which creates the schedules for several vehicle variants at once, while transmitting a given signal at the same time in all the schedules. The scheduling algorithm also takes the time constraints as release dates and deadlines into account. Finally, different algorithm versions are compared on benchmark sets and low computational time demands are validated on large instances.

关键词： Time constraints given signal message passing vehicle variants automobile industry scheduling algorithms Simplify signals

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An efficient hybrid downlink BS scheduler for WiMAX network

An efficient hybrid downlink BS scheduler for WiMAX network

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International Conference on Pervasive Computing (ICPC)

作者： Shally Sharma Navdeep Singh Randhawa Dalveer Kaur Department of Electronics and Communications Punjab Institute of Technology India

ISBN: (纸本)9781479960545

WiMAX, IEEE 802.16 is a wireless telecommunication technology, which supports broadband products to offer high speed internet access to the users with always on connectivity, covering more range and mobility features as compared to other broadband technologies like Wi-Fi. It provides high quality services by making the classes of services as real time and non-real time and attached a scheduling flow with each class of application to satisfy their QOS (Quality of service) parameters like latency, jitter, throughput, etc. The scheduling algorithms for supporting this QOS in literature, works in high to low priority order which may cause users with low priority to suffer large waiting time and are sometimes dropped from the queue due to crossing latency limits. The paper focus on this perspective and proposed a downlink BS scheduler for WiMAX heterogeneous data in which, it modified the existing Greedy Latency algorithm, used distance deduction scheme and hybrid with SJF scheduler. The simulation results carried out in MATLAB shows that the proposed technique has less processing time or latency, low packet loss rate and high throughput in comparison to existing scheduling algorithms.

关键词： WiMAX Quality of service scheduling algorithms Downlink Throughput Packet loss

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Design of a Cloud Service Middleware to Utilize Free Minutes of Public Cloud Resources

Design of a Cloud Service Middleware to Utilize Free Minutes...

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Euromicro Conference on Parallel, Distributed and Network-Based Processing

作者： Sunirmal Khatua Nandini Mukherjee Department of Computer Science and Engineering University of Calcutta India Department of Computer Science and Engineering Jadavpur University India

Complexity of cloud services acts as a barrier towards adopting cloud to some of the Cloud Service Users. Cloud Service Middleware plays an important role to get rid of such problems. The middleware manages and optimizes the cloud resources to execute various jobs submitted by the users. A middleware can be enhanced to utilize the idle time of the reserved resources in cloud environment by scheduling these resources free of cost to jobs submitted by the same Cloud Service User (CSU) or a different CSU. This enhancement not only makes it possible to utilize the resources to their fullest extent, but also reduces the usage cost of the CSU who reserved the resources (or a different CSU in certain cases). However, finding the mapping between the jobs and available pool of resources is a key challenge to the design of a middleware. This paper proposes some scheduling algorithms to find such mappings that minimizes the job execution cost within public cloud.

关键词： scheduling algorithms Cloud computing Schedules Pricing Computational modeling Analytical models

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