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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"

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Dynamic Voltage and Frequency Scaling for real-time Scheduling on a Prioritized SMT Processor

Dynamic Voltage and Frequency Scaling for Real-Time Scheduli...

引用

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

作者： Kei Fujii Hiroyuki Chishiro Hiroki Matsutani Nobuyuki Yamasaki Department of Computer Science Keio University Yokohama Japan

Cyber Physical systems are composed of many embedded systems which monitor and control the physical processes for tight integrations of computation and physical processes. Such embedded systems require not only real-time capabilities but also high throughput and low power consumption. High throughput is mainly achieved by parallel architectures such as Simultaneous Multithreading (SMT) and Chip Multiprocessor (CMP), and low power consumption is mainly achieved by real-time Dynamic Voltage and Frequency Scaling (RT-DVFS) under the real-time constraint. In this paper, we present a RT-DVFS algorithm called Hetero Efficiency to Logical Processor (HeLP) which can reduce power consumption easily and effectively in prioritized SMT processors. We also present Hetero Efficiency to Logical Processor with Temporal Migration (HeLP-TM) which applies the temporal migration technique to HeLP. Simulation results show that HeLP can reduce power consumption effectively and HeLPTM is more effective than HeLP.

关键词： Power demand real time systems time frequency analysis Hardware Process control Computer architecture Context

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Predictability and Efficiency in Contemporary Hard RTOS for Multiprocessor systems

Predictability and Efficiency in Contemporary Hard RTOS for ...

引用

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

作者： Andre Nogueira Mario Calha Large-Scale Informatics Systems Laboratory Faculty of Sciences Lisbon Portugal

Hard real-time operating systems have been mostly designed for uniprocessors. Driven by the high computational demand of real-time systems, these operating systems have been re-designed for multiprocessors. Researchers have been identifying issues that affect the predictability of multiprocessor hard real-time systems. these sources of unpredictability make it difficult to accurately predict safe and tight worst-case execution time bounds of real-time tasks. As a result, the performance of multiprocessor hard real-time systems is compromised. In this paper, we present a middleware architecture that aims to provide predictability and high efficiency for multiprocessor hard real-time systems. the middleware supports hybrid hard real-time tasks, which are adaptive hard real-time services that intend to ensure predictability and performance. We also present a prototype of this architecture. Moreover, we identify and discuss issues that affect the predictability and performance of multiprocessor hard real-time systems.

关键词： real time systems Payloads Computer architecture Linux Prototypes Middleware Processor scheduling

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A Slot-Based real-time Scheduling Algorithm for Concurrent Transactions in NoC

A Slot-Based Real-Time Scheduling Algorithm for Concurrent T...

引用

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

作者： Bach D. Bui Marco Caccamo Rodolfo Pellizzoni Department of Computer Science University of Illinois at Urbana-Champaign Department of Electrical and Computer Engineering University of Waterloo

We address the problem of scheduling real-time transactions in Network-on-Chip (NoC). In particular, we propose a novel slot-based scheduling algorithm for acyclic transaction sets in NoC. the algorithm induces a competitive sufficient schedulability utilization bound. Since the proposed algorithm is able to exploit the parallelism between non-overlapping transactions, under given assumptions, it performs better than the existing fixed-priority solutions. We evaluate performance through extensive simulations. Furthermore, we discuss some important factors in the implementation of the algorithm and present an implementation in a real system. the measurement shows that the proposed algorithm has relatively low overhead.

关键词： Schedules real time systems Optimal scheduling Scheduling algorithm Scheduling System-on-a-chip Complexity theory

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A Network Calculus Model for SpaceWire Networks

A Network Calculus Model for SpaceWire Networks

引用

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

作者： thomas Ferrandiz Fabrice Frances Christian Fraboul ISAE Univ. de Toulouse IRIT/ENSEEIHT-INPT Univ. de Toulouse

Space Wire is a wormhole network standard scheduled to be used as the sole on-board network for future satellites by the ESA. As the network will be shared by real-time and non real-time traffic, network designers require a tool to check that temporal constraints are verified for all the urgent messages. Previously, we proposed a model for a best-effort worm-hole network based on Network Calculus theory. this model is based on new network element that we call the Wormhole Section. Here, we show how to combine Wormhole Section elements to compute the end-to-end service curve offered to a flow and illustrate its use on a industrial case study.

关键词： Delay Computational modeling Calculus Interference real time systems Satellites Aggregates

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RDAG: A structure-free real-time data aggregation protocol for wireless sensor networks

RDAG: A structure-free real-time data aggregation protocol f...

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

作者： Mohammad Hossein Yeganeh Hamed Yousefi Naser Alinaghipour Ali Movaghar Department of Computer Engineering Islamic Azad University Tehran Iran Department of Computer Engineering Sharif University of Technology Tehran Iran

Data aggregation is an effective technique which is introduced to save energy by reducing packet transmissions in WSNs. However, it extends the delay at the intermediate nodes, so it can complicate the handling of delay-constrained data in event-critical applications. Besides, the structure-based aggregation as the dominant data gathering approach in WSNs suffers from high maintenance overhead in dynamic scenarios for event-based applications. In this paper, to make aggregation more efficient, we design a novel structure-free real-time Data Aggregation protocol, RDAG, using a real-time Data-aware Routing policy and a Judiciously Waiting policy for spatial and temporal convergence of packets. Extensive simulations in NS-2 verify the superiority of RDAG in WSNs.

关键词： real time systems Routing Wireless sensor networks Delay Protocols Relays Convergence

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Compositionality and CPS from a Platform Perspective

Compositionality and CPS from a Platform Perspective

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

作者： thomas Nolte Mälardalen Real-Time Research Centre Mälardalen University Västerås Sweden

Cyber Physical systems (CPS) comprise the integration of embedded computer systems and the physical processes that these computer systems interact with. Examples of such systems stretch from small embedded devices, e.g., intelligent sensor systems, to larger and often complex industrial systems, e.g., industrial automation systems. these systems are not only subject to functional requirements, but also non-functional requirements such as timing, resource usage, and reliability. CPS development (including software development) is substantially facilitated if the system parts can be developed and verified in isolation, and if the correctness of the system can be inferred from the correctness of its parts. Such modular and compositional design of software systems has for a long time been considered the holy-grail of system design, and is unfortunately only possible in selected scenarios. this paper covers one such scenario: using hierarchical runtime mechanisms in the platform to enable predictable resource usage and temporal isolation of CPS software. Our overall goal is to develop cost efficient mechanisms that are applicable for a wide range of systems.

关键词： real time systems Protocols Synchronization Job shop scheduling Software Servers Resource management

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Supporting Graph-Based real-time applications in Distributed systems

Supporting Graph-Based Real-Time Applications in Distributed...

引用

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

作者： Cong Liu James H. Anderson Department of Computer Science University of North Carolina at Chapel Hill

the processing graph method (PGM) is a widely used framework for modeling applications with producer/consumer precedence constraints. PGM was originally developed by the U.S. Navy to model signal-processing applications where data communications exist among connected tasks. Prior work has shown how to schedule PGM-specified systems on uniprocessors and globally-scheduled multiprocessors. In this paper, this work is extended to enable such systems to be supported in a distributed collection of multicore machines. In such a context, pure global and partitioned scheduling approaches are problematic. Moreover, data communication costs must be considered. In this paper, a clustered scheduling algorithm is proposed for soft real-time PGM-specified distributed task systems for which bounded deadline tardiness is acceptable. this algorithm is effective in reducing data communication costs with little utilization loss. this is shown both analytically and via experiments conducted to compare it with an optimal integer linear programming solution.

关键词： Clustering algorithms Data communication real time systems Scheduling algorithm Program processors Multicore processing Scheduling

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A Framework for Programming Sensor Networks with Scheduling and Resource-Sharing Optimizations

A Framework for Programming Sensor Networks with Scheduling ...

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

作者： Vikram Gupta Eduardo Tovar Karthik Lakshmanan Ragunathan Rajkumar CISTER Research Center Polytechnic Institute of Porto Portugal Electrical and Computer Engineering Carnegie Mellon University Pittsburgh USA

Several projects in the recent past have aimed at promoting Wireless Sensor Networks as an infrastructure technology, where several independent users can submit applications that execute concurrently across the network. Concurrent multiple applications cause significant energy-usage overhead on sensor nodes, that cannot be eliminated by traditional schemes optimized for single-application scenarios. In this paper, we outline two main optimization techniques for reducing power consumption across applications. First, we describe a compiler based approach that identifies redundant sensing requests across applications and eliminates those. Second, we cluster the radio transmissions together by concatenating packets from independent applications based on Rate-Harmonized Scheduling.

关键词： Sensors Programming Optimization Wireless sensor networks Redundancy Scheduling Operating systems

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Energy-Efficient Scheduling Algorithms for Periodic Power Management for real-time Event Streams

Energy-Efficient Scheduling Algorithms for Periodic Power Ma...

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

作者： Kai Huang Jian-Jia Chen Lothar thiele fortiss GmbH Munich Germany Institute for Process Control and Robotics Karlsruhe Institute of Technology Germany ETH Zurich Computer Engineering and Networks Laboratory Switzerland

As modern VLSI technology is scaling to the deep sub-micron domain, embedded systems face a power-efficiency problem, i.e., static power consumption caused by the leakage current. this paper explores how to use dynamic power management to reduce static power consumption while guaranteeing hard real-time properties. To tackle event arrivals with non-deterministic patterns, the arrival curve model is adopted to describe event arrivals in the interval domain. To reduce runtime overhead, periodic power management is investigated, which turns on and off a system with a fixed period. To reduce the timing complexity of computing such a periodic scheme, two algorithms, which are based on a linear-segmented representation of the arrival curve model, are proposed to trade the complexity with accuracy for energy reduction. We also present simulation results to demonstrate the effectiveness of our algorithms.

关键词： Power demand real time systems Computational modeling Silicon Approximation algorithms Energy consumption Timing

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real-time Analysis of Servers for General Job Arrivals

Real-Time Analysis of Servers for General Job Arrivals

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

作者： Pratyush Kumar Jian-Jia Chen Lothar thiele Andreas Schranzhofer Giorgio C. Buttazzo Computer Engineering and Networks Laboratory ETH Zurich Switzerland Department of Informatics Karlsruhe Institute of Technology (KIT) Germany Real-Time Systems Laboratory Italy

Several servers have been proposed to schedule streams of a periodic jobs in the presence of other periodic tasks. Standard schedulability analysis has been extended to consider such servers. However, not much attention has been laid on computing the worst-case delay suffered by a given stream of jobs when scheduled via a server. Such analysis is essential for using servers to schedule hard real-time tasks. We illustrate, with examples, that well established resource models, such as supply bound function and models from real-time Calculus, do not tightly characterize servers. In this work, we analyze the server algorithm of the Constant Bandwidth Server and compute a provably tight resource model of the server. the approach used enables us to differentiate between the soft and hard variants of the server. A similar approach can be used to characterize other servers, the final results for which are presented.

关键词： Servers Delay Bandwidth real time systems Computational modeling Analytical models Schedules

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