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检索条件"任意字段=15th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications"

共 2151 条记录，以下是371-380 订阅

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Code size optimization for embedded processors using commutative transformations

Code size optimization for embedded processors using commuta...

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13th ieee international conference on embedded and real-time computing systems and applications

作者： Pinnepalli, Sai Hong, Jinpyo Ramanujam, J. Carver, Doris L. Louisiana State Univ Baton Rouge LA 70803 USA Korea Univ Technol & Educ Chechon South Korea

ISBN: (纸本)9780769529752

Code optimization of the offset assignment generated in embedded systems allows for power and space efficient systems. We propose a new heuristic that uses edge classification to commutatively transformation and optimize the assignment. We introduce concept of breakable and unbreakable edges, which assists in selecting edges for path cover and edges for commutative transformation.

关键词： embedded systems

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Processor and Bus Co-scheduling Strategies for real-time Tasks with Multiple Service-levels 27

Processor and Bus Co-scheduling Strategies for Real-time Tas...

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27th ieee international conference on embedded and real-time computing systems and applications (RTCSA)

作者： Roy, Sanjit Kumar Sarkar, Amab Gangopadhyay, Rahul IIT Guwahati Dept CSE Gauhati Assam India IIT Kharagpur ATDC Kharagpur W Bengal India St Petersburg State Univ Dept Math & Comp Sci St Petersburg Russia

ISBN: (纸本)9781665441889

Cyber-Physical systems, including those in the automotive domain, are often designed by assigning to each task an appropriate criticality-based reward value which is acquired by the system on its successful execution. Additionally, each task may have multiple implementations designated as service-levels, with higher service-levels producing more accurate results and contributing to higher rewards for the system. this work proposes strategies for co-scheduling a set of periodic tasks with multiple service-levels, on homogeneous processors and system buses. the problem is modeled as a Multi-dimensional Multiple-Choice Knapsack formulation (MMCKP) with the objective of maximizing overall system level rewards. A Dynamic Programming (DP) solution is proposed to solve the MMCKP. It was observed that although the DP based solution produces optimal results, its complexity is highly sensitive to the number of tasks, processors, buses as well as to the number of task service-levels, which severely restricts scalability of the strategy. therefore, we have also proposed a fast yet efficient heuristic algorithm called Accurate Low Overhead Level Allocator (ALOLA), which attempts to achieve the same objective. Our simulation based experimental evaluation shows that even on moderately large systems consisting of 90 tasks with 5 service-levels each, 16 processors and 4 buses, while MMCKP incurs a run-time of more than 1 hour 20 minutes and approximately 68 GB main memory, ALOLA takes only about 196 mu s (speedup of the order of 10(6) times) and less than 1 MB of memory. Moreover, while being fast, ALOLA is also efficient being able to control performance degradations to at most 13% compared to the optimal results produced by MMCKP. We use an automated flight control system employed in modern avionic systems, a real-world application to illustrate the general applicability of our proposed scheme.

关键词： real-time Processor Scheduling real-time Bus Scheduling Optimal Service-level Selection Cyber-Physical systems Automotive systems Scheduling

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Middleware for real-time Event Detection and Predictive Analytics in Smart Manufacturing 15

Middleware for Real-Time Event Detection and Predictive Anal...

引用

15th Annual international conference on Distributed computing in Sensor systems (DCOSS)

作者： Ali, Muhammad Intizar Patel, Pankesh Breslin, John G. Natl Univ Ireland Galway Data Sci Inst Confirm SFI Res Ctr Smart Mfg Galway Ireland Fraunhofer USA CESE College Pk MD USA

ISBN: (纸本)9781728105703

Industry 4.0 is a recent trend of automation for manufacturing technologies and represents the fourth industrial revolution which transforms current industrial processes with the use of technologies such as automation, data analytics, cyber-physical systems, IoT, artificial intelligence, etc. the vision of Industry 4.0 is to build an end-to-end industrial transformation with the support of digitization. Data analytics plays a key role to get a better understanding of business processes and to design intelligent decision support systems. However, a key challenge faced by industry is to integrate multiple autonomous processes, machines and businesses to get an integrated view for data analytics activities. Another challenge is to develop methods and mechanisms for real-time data acquisition and analytics on-thefly. In this paper, we propose a semantically interoperable framework for historical data analysis combined with real-time data acquisition, event detection, and real-time data analytics for very precise production forecasting within a manufacturing unit. Besides historical data analysis techniques, our middleware is capable of collecting data from diverse autonomous applications and operations in real time using various IoT devices, analyzing the collected data on the fly, and evaluating the impact of any detected unexpected events. Using semantic technologies we integrate multiple autonomous systems (e.g. production system, supply chain management and open data). the outcome of real-time data analytics is used in combination with machine learning models trained over historical data in order to precisely forecast production in a manufacturing unit in real time. We also present our key findings and challenges faced while deploying our solution in real industrial settings for a large manufacturing unit.

关键词： real-time systems Production Data analysis Middleware Manufacturing Business Data models

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Century: Automated aspects of patient care

Century: Automated aspects of patient care

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13th ieee international conference on embedded and real-time computing systems and applications

作者： Blount, Marion Davis, John Ebling, Maria Kim, Ji Hyun Kim, Kyun Hyun Lee, KangYoon Misra, Archan Park, Sehun Sow, Daby Tak, Young Ju Wang, Min Witting, Karen IBM Corp TJ Watson Res Ctr Armonk NY 10504 USA Korea Ubiquitous Comp Lab IBM Corp Seoul South Korea

ISBN: (纸本)9780769529752

Remote health monitoring affords the possibility of improving the quality of health care by enabling relatively inexpensive out-patient care. However, remote health monitoring raises new a problem: the potential for data explosion in health care systems. To address this problem, the remote health monitoring systems must be integrated with analysis tools that provide automated trend analysis and event detection in real time. In this paper, we propose an overview of Century, an extensible framework for analysis of large numbers of remote sensor-based medical data streams.

关键词： real time systems

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Load Balancing for Minimizing Deadline Misses and Total Runtime for Connected Car systems in Fog computing 15

Load Balancing for Minimizing Deadline Misses and Total Runt...

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15th ieee international Symposium on Parallel and Distributed Processing with applications (ISPA) / 16th ieee international conference on Ubiquitous computing and Communications (IUCC)

作者： Chen, Yu-An Walters, John Paul Crago, Stephen P. Univ Southern Calif Ming Hsieh Dept Elect Engn Los Angeles CA 90089 USA Univ Southern Calif Informat Sci Inst Arlington VA 22203 USA

ISBN: (纸本)9781538637906

Cloud computing provides a pool of highly available resources for applications to use to offload their tasks, but new applications such as coordinated lane-change assistance used in connected car systems have strict timing requirements that cannot be met by offloading tasks only to the cloud. Fog computing reduces latency by bringing the computation from remote datacenters to local fog servers, which are connected in close proximity to clients. Although fog computing lowers the latency for transferring data, load balancing among fog servers still needs to be addressed for better timing performance. the challenges include a large number of tasks, mobility of the clients, and heterogeneity of the fog servers. In this paper we use connected car systems as a motivating application, and first show that we can utilize mobility patterns of vehicles to perform periodic load balancing in fog servers. We then present a task model that solves the scheduling problem at the server level instead of device level. And finally we formulate a load balancing optimization problem for minimizing deadline misses and total runtime for connected car systems in fog computing. We show that it outperforms some common heuristics such as weighted round-robin, active monitoring, and throttled load balancer.

关键词： fog computing load balancing real-time task distribution deadline misses connected car mobility prediction

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Task partitioning upon memory-constrained multiprocessors

Task partitioning upon memory-constrained multiprocessors

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11th international conference on embedded and real-time computing systems and applications

作者： Fisher, N Anderson, JH Baruah, S Univ N Carolina Dept Comp Sci Chapel Hill NC 27599 USA

ISBN: (纸本)0769523463

Most prior theoretical research on partitioning algorithms for real-time multiprocessor platforms has focused on ensuring that the cumulative computing requirements of the tasks assigned to each processor does not exceed the processor's processing power However many multiprocessor platforms have only limited amounts of local per-processor memory;if the memory limitation of a processor is not respected, thrashing between "main" memory and the processor's local memory may occur during run-time and may result in performance degradation. We formalize the problem of task partitioning in a manner that is cognizant of both memory and processing capacity constraints as the memory constrained multiprocessor partitioning problem, prove that this problem is intractable, and present efficient algorithms for solving it under certain - well-defined - conditions.

关键词： multiprocessor systems partitioned scheduling memory-constrained systems utilization-based schedulability tests

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A GRASP-based heuristic for the project portfolio selection problem

A GRASP-based heuristic for the project portfolio selection ...

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15th ieee international conference on Computational Science and Engineering, CSE 2012 and 10th ieee/IFIP international conference on embedded and Ubiquitous computing, EUC 2012

作者： Mira, Cleber Feijão, Pedro Souza, Maria Angélica Moura, Arnaldo Meidanis, João Lima, Gabriel Schmitz, Rafael Bossolan, Renato P. Freitas, Ítalo T. Scylla Bioinformatics Campinas Brazil Institute of Computing Unicamp Campinas Brazil AES-Tietê Brazil Mechanical Engineering Department Unicamp Campinas Brazil

ISBN: (纸本)9780769549149

the project portfolio selection (PPS) problem consists of constructing a project portfolio, that is, a selection of projects scheduled over a period of time using various, potentially conflicting, criteria and resource constraints. the PPS is a well-known problem, recurrently occurring in several applications, with a rich history of approaches for modeling it and a large number of techniques for solving it. In this work we present a model for the PPS problem based on a real-world situation of selection and scheduling of projects in the power generation industry. We also propose a heuristic, based on the metaheuristic GRASP, to solve the problem, and assess its quality and performance through computational experiments. We describe the implementation of a decision support system prototype for the PPS problem that uses the proposed heuristic and includes several usability features that may help decision makers through the selection process. © 2012 ieee.

关键词： Decision support systems

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Scheduler-Assisted Prefetching: Efficient Demand Paging for embedded systems

Scheduler-Assisted Prefetching: Efficient Demand Paging for ...

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14th ieee international conference on embedded and real-time computing systems and applications

作者： Belogolov, Stanislav A. Park, Jiyong Park, Jungkeun Hong, Seongsoo Seoul Natl Univ Real Time Operating Syst Lab Seoul South Korea Konkuk Univ Dept Aerosp Infomat Engn Seoul South Korea

ISBN: (纸本)9780769533490

embedded systems tend to use demand paging in order to provide more memory to applications in a cost-effective manner. However demand paging drastically degrades the performance when the page fault rate is high. Prefetching has been known as a common remedy for page fault overhead. Although many prefetching mechanisms have been proposed, they are either effective only for specific page access patterns or too straight-forward to decrease a page fault rate to an acceptable level. We propose a scheduler-assisted prefetching mechanism which does not have such fundamental defects. As a proof of concept, our mechanism was completely implemented in Linux. We have also conducted a series of experiments to show its effectiveness. the experimental results showed a significant improvement: the number of the major page faults and the scheduling latency decreased by 30% and 51%, respectively.

关键词： embedded systems

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Partitioned scheduling of implicit-deadline sporadic task systems under multiple resource constraints

Partitioned scheduling of implicit-deadline sporadic task sy...

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18th ieee international conference on embedded and real-time computing systems and applications, RTCSA 2012

作者： Chattopadhyay, Bipasa Baruah, Sanjoy Department of Computer Science University of North Carolina Chapel Hill NC United States

ISBN: (纸本)9781467330176

On many multiprocessor platforms each individual processor may have limited amounts of several different kinds of resources such as computing capacity, local memory, and network bandwidth. In order to partition tasks effectively upon such platforms the partitioning algorithm should be cognizant of all the resource constraints. We present and evaluate an algorithm for partitioning a collection of implicit-deadline sporadic tasks upon a multiprocessor platform in a manner that is cognizant of multiple such resource constraints. © 2012 ieee.

关键词： Multiprocessing systems

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Managing Industrial Communication Delays with Software-Defined Networking 25

Managing Industrial Communication Delays with Software-Defin...

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25th ieee international conference on embedded and real-time computing systems and applications (RTCSA)

作者： Jhaveri, Rutvij H. Tan, Rui Easwaran, Arvind Ramani, Sagar, V Nanyang Technol Univ Delta NTU Corp Lab Cyber Phys Syst Sch Elect & Elect Engn Singapore Singapore Nanyang Technol Univ Sch Comp Sci & Engn Singapore Singapore Govt Polytech Dept Comp Engn Porbandar India

ISBN: (纸本)9781728131979

Recent technological advances have fostered the development of complex industrial cyber-physical systems with communication delay requirements. the consequences of delay requirement violation in such systems may become increasingly severe. In this paper, we propose a contract-based fault-resilient methodology which aims at managing the communication delays of network flows in industries. With this objective, we present a lightweight mechanism to estimate end-to-end communication delays in the network where the clocks of the switches are not synchronized. the mechanism aims at providing high level of accuracy with little communication overhead. We then propose a contract-based framework using software-defined networking (SDN) where the components are associated with delay contracts and a resilience manager. the proposed resilience management framework contains: (1) contracts which state requirements about components' behaviors, (2) observers which are responsible to detect contract failure (fault), (3) monitors to detect events such as run-time changes in the delay requirements and link failure, (4) control logic to take suitable decisions based on the type of the fault, (5) resilience manager to decide response strategies containing the best course of action as per the control logic decision. Finally, we present a delay-aware path finding algorithm which is used to route/reroute the network flows to provide resilience in the case of faults and, to adapt to the changes in the network state. Performance of the proposed framework is evaluated with the Ryu SDN controller and Mininet network emulator.

关键词： Cyber-physical systems real-time communication fault resilience software-defined networking

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