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检索条件"任意字段=8th IEEE International Symposium on Object-Oriented Real-Time Distributed Computing"

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Wide-Area distributed Integrated Test Environments for distributed Embedded Control System

Wide-Area Distributed Integrated Test Environments for Distr...

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international symposium on object-oriented real-time distributed computing

作者： Yukikazu Nakamoto Tadahiro Ito Kenji Yabuuchi Tatsunori Osaki Graduate School of Applied Informatics University of Hyogo Japan OCTOPATH Corporation Japan Japan Fujitsu Ten Limited Japan

Embedded control systems such as automotive form large-scale distributed ones which consist of numerous CPUs and devices, including plants and various hardware components. the complexity of such systems has increased for sophisticated control using numerous types of sensor data. Meanwhile, market pressures lead to reducing development periods for the large-scale distributed embedded control systems. A model-based design becomes popular to solve the above problems, especially automotive industries. In this paper, we describe a wide-area distributed integrated test environment based on the model-based design. the key features are communication middleware to enable wide-area distributed test with integrating the programs in widely distributed sites and control program execution with models of multiple abstraction levels in the model-based design. Furthermore, we developed a model agent simulation. Instead of a plant model that might be located and simulated by MATLAB/Simulink in a remote site, a model agent behaves like the model in a local computer. the model agent simulation significantly reduces the test execution time in a prototype evaluation.

关键词： real-time systems distributed computing

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It's about time: Leveraging Clock Synchronization for distributed real-time Programming

It's about Time: Leveraging Clock Synchronization for Distri...

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international symposium on object-oriented real-time distributed computing

作者： Edward A. Lee University of California Berkeley Berkeley CA USA

Cyber-physical systems are integrations of computation, communication networks, and physical dynamics. Although time plays a central role in the physical world, all widely used software abstractions lack temporal semantics. the notion of correct execution of a program written in every widely-used programming language today does not depend on the temporal behavior of the program. But temporal behavior matters in almost all systems. Even in systems with no particular real-time requirements, timing of programs is relevant to the value delivered by programs, and in the case of concurrent programs, also affects the functionality. In cyber-physical systems, temporal behavior affects not just the value delivered by a system but also its correctness. In this talk, I will argue that time can and must become part of the semantics of programs for a large class of applications. To illustrate that this is both practical and useful, we will describe two recent efforts at Berkeley in the design and implementation of timing-centric software systems. On the implementation side, I will describe PRET machines, which redefine the instruction-set architecture (ISA) of a microprocessor to include temporal semantics. On the design side, I will briefly describe PTIDES, a programming model for distributed real-time systems. PTIDES leverages clock synchronization to deliver a deterministic model of computation for distributed real-time systems.

关键词： real-time systems Programming Educational institutions Semantics Graphics processing units Computational modeling Laboratories

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distributed and Managed: Research Challenges and Opportunities of the Next Generation Cyber-Physical Systems

Distributed and Managed: Research Challenges and Opportuniti...

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international symposium on object-oriented real-time distributed computing

作者： Gabor Karsai Daniel Balasubramanian Abhishek Dubey William R. Otte Institute for Software-Integrated Systems Vanderbilt University Nashville TN USA

Cyber-physical systems increasingly rely on distributed computing platforms where sensing, computing, actuation, and communication resources are shared by a multitude of applications. Such 'cyber-physical cloud computing platforms' present novel challenges because the system is built from mobile embedded devices, is inherently distributed, and typically suffers from highly fluctuating connectivity among the modules. Architecting software for these systems raises many challenges not present in traditional cloud computing. Effective management of constrained resources and application isolation without adversely affecting performance are necessary. Autonomous fault management and real-time performance requirements must be met in a verifiable manner. It is also both critical and challenging to support multiple end-users whose diverse software applications have changing demands for computational and communication resources, while operating on different levels and in separate domains of security. the solution presented in this paper is based on a layered architecture consisting of a novel operating system, a middleware layer, and component-structured applications. the component model facilitates the construction of software applications from modular and reusable components that are deployed in the distributed system and interact only through well-defined mechanisms. the complexity of creating applications and performing system integration is mitigated through the use of a domain-specific model-driven development process that relies on a domain-specific modeling language and its accompanying graphical modeling tools, software generators for synthesizing infrastructure code, and the extensive use of model-based analysis for verification and validation.

关键词： Kernel Unified modeling language Security real-time systems Computational modeling Computer architecture

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HLA-Based SaaS-oriented Simulation Frameworks

HLA-Based SaaS-Oriented Simulation Frameworks

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2014 ieee 8th international symposium on Service oriented System Engineering

作者： Wei Xiong Wei-Tek Tsai Informatics and Decision Systems Engineering Arizona State University Tempe AZ USA

SaaS (Software-as-a-Service) as a part of cloud computing is a new approach for software construction, evolution, and delivery. this paper proposes HLA-based SaaS-oriented simulation frameworks where simulation services will be organized into a SaaS framework running in a cloud environment. this SaaS-oriented frameworks can be applied to multiple application domains but illustrated by using HLA (High-Level Architecture). the framework will allow integration of a variety of modules, service-oriented design, flexible customization, multi-granularity simulation, high-performance computing, and system security. It has the potential to reduce system development time, and allows simulation to be run in a cloud environment taking advantages of resources offered by the cloud.

关键词： Software as a service object oriented modeling Computational modeling Adaptation models Data models Computer architecture Databases

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Online Behavior Classification for Anomaly Detection in Self-X real-time Systems

Online Behavior Classification for Anomaly Detection in Self...

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international symposium on object-oriented real-time distributed computing

作者： Franz Rammig Katharina Stahl Design of Distributed Embedded Systems Research Group University of Paderborn Paderbom Germany

Autonomous adaptation in self-adapting embedded real-time systems introduces novel risks as it may lead to unforeseen system behavior. An anomaly detection framework integrated in a real-time operating system can ease the identification of such suspicious novel behavior and, thereby, offers the potential to enhance the reliability of the considered self-x system. However, anomaly detection is based on knowledge about normal behavior. When dealing with self-reconfiguring applications, normal behavior changes so that the knowledge base requires adaptation or even (re-)construction at runtime. the stringent restrictions of real-time systems in terms of runtime and memory consumption assign this task to be a really challenging problem. In this paper, we present our idea for online construction of application behavior knowledge that does not rely on any training phase. the applications' behavior is defined by the application's system call invocations. For the knowledge base, we exploit Suffix Trees as they offer potentials to represent application behavior patterns and their associated information in a compact manner. We apply the online algorithm provided by Suffix Trees as a basis to construct the knowledge base with low computational effort. However, we integrate anomaly detection and classification into the online construction method. We ensure thereby that new behavioral patterns do not unconditionally update the behavior knowledge base, but beforehand, have been evaluated in a context-related manner inspired by Danger theory, a special discipline of Artificial Immune Systems.

关键词： Knowledge based systems real-time systems Operating systems Runtime Context Memory management Training

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A PCA-Based Traffic Monitoring Approach for distributed computing Systems

A PCA-Based Traffic Monitoring Approach for Distributed Comp...

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2014 ieee 8th international symposium on Service oriented System Engineering

作者： Li Zhao Ge Fu Qian Liu Xinran Liu Wei Cao The National Computer network Emergency Response technical Team Coordination Center of China (CNCERT) Beijing China Changan Communication Technology Co. Ltd. Beijing China

Monitoring traffics between applications deployed in a distributed computing system (DCS) can help analyzers perceive the dynamic load of each application, and detect the anomalies in all the running processes. However, due to the factors of high dimension and strong periodicity, the traffic data is difficult to visualize and interpret. In this paper, we propose a traffic monitoring approach based on Principal Component Analysis (PCA) which is a classical dimension-reduction tool. We find that the first PC represents the overall scale of the traffic while the second PC reflects all nontrivial variations caused by different applications. then we locate the exact alteration time and identify the very changing applications by a semi-Bayes algorithm on the second PC. We further perform online anomaly detection on new traffics utilizing the previously classified data. Experiments on datasets collected from several distributed computing systems including 44 applications show the proposed approach can effectively facilitate DSC traffic monitoring, and outperforms Kmeans and DBSCAN in identifying different system states.

关键词： Principal component analysis Monitoring Correlation Servers Standards distributed databases

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Combining Model-Based Systems Engineering, Simulation and Domain Engineering in the Development of Industrial Automation Systems: Industrial Case Study

Combining Model-Based Systems Engineering, Simulation and Do...

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international symposium on object-oriented real-time distributed computing

作者： Ismael Scheeren Carlos Eduardo Pereira General Electric do Brasil Ltda Federal University of Rio Grande do Sul UFRGS Porto Alegre Brazil Electrical Engineering Department Federal University of Rio Grande do Sul UFRGS Porto Alegre Brazil

Due to increasing complexity, the design of Industrial Automation Systems are becoming more challenging. In that sense, efforts have been driven to develop Model-Based Systems Engineering tools and methods. Despite recent progress, there are still doubts in terms of the practical use and benefits. the main concerns are related to integration among tools and exchange of information between multidisciplinary artifacts. this paper compares Document-Centric Engineering (CAx tools) and Model-Based Systems Engineering (MBSE) in light of Industrial Automation Systems using a real domain. therefore, a MBSE compliant method was developed and tested. Commercial tools such as the Eclipse platform and the ModelicaML language were used to perform abstract modeling while COMOS® from Siemens® was used to develop the multidisciplinary artifacts for project documentation. A Java application was developed to integrate component information between the selected environments. the OpenModelica Compiler was integrated to the platform to allow system and component behavior simulation. Tests have shown that the tools involved on this investigation still need further development concerning maturity and exchange of information from abstract models down to domain specific models. On the other hand, MBSE has proven to be an important tool to match different team approaches and concerns, improving team communication using conceptual-wide and abstract symbols. Connecting abstract ModelicaML models to a simulation environment using Modelica led to a better understanding of systems behavior prior to realization and provided an analysis environment for early detection of project errors and operational failures.

关键词： object oriented modeling Unified modeling language Computational modeling Automation Mathematical model

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Elastic Allocator: An Adaptive Task Scheduler for Streaming Query in the Cloud

Elastic Allocator: An Adaptive Task Scheduler for Streaming ...

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2014 ieee 8th international symposium on Service oriented System Engineering

作者： Zheng Han Rui Chu Haibo Mi Huaimin Wang Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha Hunan China

Many big data applications receive and process data in real time. these data, also known as data streams, are generated continuously and processed online in a low latency manner. Data stream is prone to change dramatically in volume, since its workload may have a variation of several orders between peak and valley periods. Fully provisioning resources for stream processing to handle the peak load is costly, while over-provisioning is wasteful when to deal with lightweight workload. Cloud computing emphasizes that resource should be utilized economically and elastically. An open question is how to allocate query task adaptively to keeping up the input rate of the data stream. Previous work focuses on using either local or global capacity information to improve the cluster CPU resource utilization, while the bandwidth utilization which is also critical to the system throughput is ignored or simplified. In this paper, we formalize the operator placement problem considering both the CPU and bandwidth usage, and introduce the Elastic Allocator. the Elastic Allocator uses a quantitative method to evaluate a node's capacity and bandwidth usage, and exploit both the local and global resource information to allocate the query task in a graceful manner to achieve high resource utilization. the experimental results and a simple prototype built on top of Storm finally demonstrate that Elastic Allocator is adaptive and feasible in cloud computing environment, and has an advantage of improving and balancing system resource utilization.

关键词： Bandwidth Resource management Clustering algorithms Storms Linear programming Cloud computing Computer architecture

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A real-time object-oriented Data Model and Prototype Implementation 16

A Real-Time Object-Oriented Data Model and Prototype Impleme...

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16th ieee international symposium on object/Component/Service-oriented real-time distributed computing (ISORC)

作者： Ellouze, Zied Louati, Nada Bouaziz, Rafik Sfax Univ CES ENIS Sfax 3038 Tunisia Sfax Univ MIRACL ISIMS Sfax 3018 Tunisia

ISBN: (纸本)9781479921133

real-time databases are different from conventional databases in that they have timing constraints on data and on transactions upon the data. the timing constraints of data require that the current status of the real world must be close enough to the state represented by the contents of the database. the timing constraints of transactions are typically expressed in the form of deadline which indicates a certain time in the future by which a transaction must be completed. Conventional data models can not be directly applied to describe the conceptual data model of a real-time database, since there is no mechanism to deal with the representation of timing constraints. A real-time data model should simultaneously satisfy many goals. It should clearly and concisely provide support for specifying timing constraints on data and transactions, semantics of real-time data and real-time transactions, concurrency control mechanisms, and transactions scheduling policies to meet the timing constraints defined by the real-time applications. this paper presents a real-time object-oriented data model and its use in designing real-time extensions to the DB4O database management system. this data model supports expression of time-constrained data, time-constrained transactions, concurrency control mechanisms, and transactions scheduling policies. It also can be integrated easily in existing object-oriented method and permits automatic code generation of all the real-time code of an application.

关键词： Concurrency control Concurrent computing Data models Databases object oriented modeling real-time systems Timing data models Concurrency control object oriented modeling time constraints Database real-time systems Parallel programming real-time database object orientation real-time data timing sequence

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Ontology-based Runtime Reconfiguration of distributed Embedded real-time Systems 16

Ontology-based Runtime Reconfiguration of Distributed Embedd...

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16th ieee international symposium on object/Component/Service-oriented real-time distributed computing (ISORC)

作者： Hoeftberger, Oliver Obermaisser, Roman Vienna Univ Technol Vienna Austria Univ Siegen D-57068 Siegen Germany

ISBN: (纸本)9781479921133

Embedded real-time systems with dynamic resource management capabilities are able to adapt to changing resource requirements, resource availability, the occurrence of faults and environmental changes. this enables better resource utilization, more flexibility and increased dependability. Depending on the application domain, reconfiguration decisions must be found and applied within temporal bounds. Although semantic techniques are used to react to unexpected events in standard IT systems, they exhibit a computational complexity and temporal unpredictability that is not suitable for real-time systems. this paper describes a temporally predictable framework for reconfigurable embedded real-time systems. It uses a service-oriented approach to dynamically reconfigure component interactions. Knowledge about the system structure and semantics is provided in a system ontology with relevant information for embedded real-time systems (e.g., transfer delay times, accuracy of relations). the ontology allows to automatically generate service substitutes by exploiting implicit redundancy in the system. Furthermore, an algorithm is presented that searches the ontology for semantically equivalent implementations of failed services. the process of substitution search and substitute service generation is demonstrated with an example from the automotive domain.

关键词： Accuracy Embedded systems Joining processes Ontologies real-time systems Semantics Sensors real-time systems Ontology Semantics Embedded systems Sensors semiotics embedding Reconfiguration

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