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检索条件"任意字段=13th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications"

共 2023 条记录，以下是1011-1020 订阅

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A fault resilient architecture for distributed cyber-physical systems

A fault resilient architecture for distributed cyber-physica...

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

作者： Abad, Fardin Abdi Taghi Caccamo, Marco Robbins, Brett Department of Computer Science University of Illinois at Urbana-Champaign Urbana-Champaign IL United States Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana-Champaign IL United States

ISBN: (纸本)9781467330176

In this paper we discuss a general approach and architecture for design of distributed cyber-physical systems in order to make them resilient to communication faults. In this approach, each node exploits physical connections between nodes to estimate some of the state parameters of the remote nodes in order to detect the faults and also to maintain stability of system after fault occurrence. Finally, based on this architecture and approach, a fault-resilient decentralized voltage control algorithm is presented and evaluated. © 2012 ieee.

关键词： Cyber Physical System

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real-time scheduling of energy harvesting embedded systems with timed automata

Real-time scheduling of energy harvesting embedded systems w...

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

作者： Abdeddaïm, Yasmina Masson, Damien Université Paris-Est LIGM UMR CNRS 8049 ESIEE Paris 2 bld Blaise Pascal 93162 Noisy-le-Grand Cedex France

ISBN: (纸本)9781467330176

In this paper, we propose feasibility and schedulability tests for a real-time scheduling problem under energy constraints. We first introduce the problem and show how to model it using timed automata. We then propose a feasibility test based on CTL model checking and schedulability tests for EDF and Preemptive Fixed Priority algorithms (PFP). Our approach also permits to generate a feasible schedule if one exists or otherwise to find how to correct battery characteristics to make the problem feasible. It is finally possible to generate schedules that optimize some criteria, such as the number of context switches between the battery recharging and discharging modes, the minimal and the maximal energy levels reached during the execution, or the number of preemptions. the approach is illustrated by some experiments using the model checking tool UPAAL [1]. © 2012 ieee.

关键词： Energy harvesting

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Fixed-priority schedulability of arbitrary-deadline sporadic tasks upon periodic resources

Fixed-priority schedulability of arbitrary-deadline sporadic...

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

作者： Dewan, Farhana Fisher, Nathan Department of Computer Science Wayne State University United States

ISBN: (纸本)9781467330176

Schedulability for compositional real-time systems has been the focus of a great deal of recent research. In this problem domain, we consider the fixed-priority (FP) scheduling of arbitrary-deadline sporadic task systems upon periodic resources. Existing exact or approximate schedulability tests for dedicated uniprocessor scheduling can be used in this setting by modeling the "no-supply period" of the periodic resource model as a special highest priority task. However, the exact schedulability test is highly inefficient from computational perspective, and the straightforward approximate test is pessimistic due to the approximation on the resource unavailability along with the resource demand. In this paper, along with obtaining an exact characterization of schedulability for this setting, we address the need for efficient and effective schedulability results for the large and important class of arbitrary-deadline task systems by deriving a polynomial-time sufficient schedulability algorithm. By simulations, we show that this algorithm performs very well compared with the exact test, and even better than the approximate test. © 2012 ieee.

关键词： real time systems

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Load balancing aware real-time task partitioning in multicore systems

Load balancing aware real-time task partitioning in multicor...

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

作者： Kang, Jaeyeon Waddington, Daniel G. Computer Science Laboratory Samsung R and D Center San Jose CA United States

ISBN: (纸本)9781467330176

real-time applications of future IT will continue to drive the demand for performance scaling in devices ranging from sensors to servers. Parallel processing in the form of mul-ticore and manycore architectures will also continue to be the principal route to unleashing next generation performance capabilities. To fully exploit multicore processors, real-time applications are expected to provide a large degree of parallel-ism, where real-time tasks can utilize multiple cores at the same time. Guaranteeing real-time performance, while making efficient use of multicore resources, requires a scheduling method that offers both high schedulability and effective load balancing. Many existing real-time scheduling methods for multicore systems focus on schedulability or load balancing, but not both - each coming at the expense of the other. In this work we develop an efficient scheduling algorithm that not only guarantees real-time performance but also demonstrates effective distribution of tasks across cores. Experimental re-sults show that our method significantly outperforms state-of-the-art approaches in terms of load balancing while still providing good schedulability. We also show the benefits with respect to energy reduction that result from balanced load. © 2012 ieee.

关键词： Scheduling algorithms

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thermal-constrained energy-aware partitioning for heterogeneous multi-core multiprocessor real-time systems

Thermal-constrained energy-aware partitioning for heterogene...

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

作者： Saha, Shivashis Lu, Ying Deogun, Jitender S. Department of Computer Science and Engineering University of Nebraska-Lincoln Lincoln NE 68588-0115 United States

ISBN: (纸本)9781467330176

Next-generation multi-core multiprocessor real-time systems consume less energy at the cost of increased power density. this increase in power-density results in high heat density and may affect the reliability and performance of real-time systems. thus, incorporating maximum temperature constraints in scheduling of real-time task sets is an important challenge. this paper investigates thermal-constrained energy-aware partitioning of periodic real-time tasks in heterogeneous multi-core multiprocessor systems. We adopt a power model which considers the impact of temperature and voltage on a processor's static power consumption. Two types of thermal models are used to respectively capture negligible and non-negligible amount of heat transfer among cores. We develop a novel genetic-algorithm based approach to solve the heterogeneous multi-core multiprocessor partitioning problem. Extensive simulations were performed to validate the effectiveness of the approach. Experimental results show that integrating a worst-fit based partitioning heuristic with the genetic algorithm can significantly reduce the total energy consumption of a heterogeneous multi-core multiprocessor real-time system. © 2012 ieee.

关键词： real time systems

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An efficient tool-chain for analyzing tradeoffs of code compression schemes in embedded processors

An efficient tool-chain for analyzing tradeoffs of code comp...

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

作者： Menon, Sreejith K. Implementation Group Synopsys India Pvt. Ltd. Bangalore India

ISBN: (纸本)9781467330176

Code compression has emerged as a promising solution to meet the challenges of rapidly increasing application size and of scarce memory resources in embedded systems. In the past two decades, a large number of compression algorithms have been proposed and implemented to improve overall code density on a wide variety of architectures. However, selecting a code compression/ decompression methodology for a target architecture by evaluating the tradeoffs between the compression achievable, the decompression overhead and the hardware cost is a tedious and time consuming task. We address this problem with an efficient tool-chain capable of analyzing different code compression schemes and evaluating the tradeoffs. the tool-chain consists of a front end framework that works with different compression/decompression schemes and a backend with high-level-synthesis and logic-synthesis tools. We have effectively analyzed different compression/decompression schemes of varying complexities using the tool-chain. © 2012 ieee.

关键词： Chains

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Regularity-based partitioning of uniform resources in real-time systems

Regularity-based partitioning of uniform resources in real-t...

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

作者： Li, Yu Cheng, Albert M.K. Mok, Aloysius K. Department of Computer Science University of Houston Houston TX 77204 United States Department of Computer Sciences University of Texas at Austin Austin TX 78712 United States

ISBN: (纸本)9781467330176

Hierarchical scheduling is a hot topic in real time systems. In a hierarchical real-time system, the resource partition is the intermediate level between physical resources and real-time tasks. A resource partition operates on the shared physical resources at a fraction of the rate, and serves as a scheduling interface between the lower-level real-time tasks and the shared physical resources. thus a key problem is how to define this scheduling interface on resource partitions. Regularity-bounded methodology is one important type of resource partitioning algorithms. this paper extends Mok and Feng's Regularity-based Resource Partition Model from a single-resource platform to a uniform multiresource platform. We present a resource partitioning algorithm called AAF Multi Scheduling for solving the time slice overlap problem on a multiresource platform without violating the schedulability bound given by Feng on a single-resource platform. AAF Multi is a global scheduling algorithm with O(Ω·log Ω) time complexity (Ω = resource amount x hyper period), where hyper period is the least common multiple of the periods of the resource partitions. © 2012 ieee.

关键词： real time systems

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Overall System Value Maximization for Resource Constrained Heterogeneous real-time systems

Overall System Value Maximization for Resource Constrained H...

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

作者： Wang, Li Li, Zheng Ren, Shangping Quan, Gang IIT Dept Comp Sci Chicago IL 60616 USA Florida Int Univ Dept Elect & Comp Engn Miami FL USA

ISBN: (纸本)9781467351652;9780769549149

Nowadays, many different applications can be consolidated to the same hardware platform, especially as multi-core platforms become mainstream. these applications may have different user perceived values and may or may not share the same composing tasks. When system resources become scarce and not all applications can be executed, how to select and deploy a subset of these applications to maximize the system value is a challenging problem. In this paper, we first formulate the problem as an integer linear programming problem, and then present a computationally efficient heuristic algorithm, i.e., the Max-Min-Min algorithm, to appropriately select applications and map their tasks to different processing elements such that all the timing requirements of the applications are met and the overall system value is maximized. the experimental results demonstrate that the proposed heuristic approach provides a good balance between the solution quality and the solution computation cost when compared with the solutions obtained by CPLEX solver and by other commonly used heuristic algorithms, respectively.

关键词： Application Selection Task Deployment real-time embedded System Heterogeneous Processors

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On the Characterization of CAR systems Based on Mobile computing

On the Characterization of CAR Systems Based on Mobile Compu...

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14th ieee international conference on High Performance computing and Communications (HPCC) / ieee 9th international conference on embedded Software and systems (ICESS)

作者： Fernandez, Victor Orduna, Juan M. Morillo, Pedro Univ Valencia Dept Informat ETSE E-46100 Burjassot Valencia Spain

ISBN: (纸本)9780769547497

Collaborative Augmented reality (CAR) systems allow multiple users to share a real world environment including computer-generated images in real time. Currently, the hardware features of most mobile phones provide excellent multimedia services, and it also includes wireless network capabilities that offer a natural platform for CAR systems. However, the performance of the mobile CAR applications under different conditions, like the number and type of devices in the system, has not been studied yet. this paper presents the experimental characterization of CAR systems based on mobile phones, providing quantitative results about well-known performance metrics in distributed systems like system throughput and system response times. the characterization results show that the system saturation point depends on the overall percentage of CPU utilization in the computer platform acting as the system server, although it is not a fixed value and it is inversely related to the number of processor cores. Also, the results show that throughput of CAR systems heavily depends on the kind of client devices, but CAR systems can efficiently support some hundreds of clients in any case. Another important result is that the CAR system throughput is limited by the server I/O in some cases. therefore, any improvement in CAR systems should be addressed to alleviate the server I/O, even though it may add computational overhead to the server.

关键词： Collaborative Augmented reality Mobile Phones Performance Evaluation

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Resource management and fault tolerance principles for supporting distributed real-time and embedded systems in the cloud 12

Resource management and fault tolerance principles for suppo...

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9th Middleware Doctoral Symposium of the 13th ACM/IFIP/USENIX international Middleware conference, MIDDLEWARE 2012

作者： An, Kyoungho Department of Electrical Engineering and Computer Science Vanderbilt University Nashville TN 37235 United States

ISBN: (纸本)9781450316118

Cloud computing provides an attractive solution to host enterprise applications due to its cost effectiveness, and its ability to seamlessly adjust to changing application work-loads while providing the desired performance assurances using elastic and dynamic resource management. these benefits, however, do not yet readily carry over to distributed, real-time and embedded (DRE) systems, which are a class of systems that require stringent assurances on quality of service (QoS) properties including timeliness, reliability and security all at once. this doctoral research is investigating the sources of these limitations that make it hard to host DRE systems in the cloud, and developing solutions to overcome them. this paper makes three contributions in this regard. First, it outlines the key challenges that must be resolved in supporting DRE systems in the cloud and surveys related literature. Second, it presents ongoing work that addresses one key challenge stemming from the need for real-time and scalable resource monitoring in the cloud. third, it outlines our proposed ideas on resolving the remainder of the challenges. © 2012 ACM.

关键词： Cost effectiveness

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