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Wide-area distributed Integrated Test Environments for distributed Embedded Control System 17

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

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17th ieee international symposium on object/component/service-oriented real-time distributed computing (ISORC)

作者： Nakamoto, Yukikazu Ito, Tadahiro Yabuuchi, Kenji Osaki, Tatsunori Univ Hyogo Grad Sch Appl Informat Kobe Hyogo 6500044 Japan OCTOPATH Corp Tokyo Japan Fujitsu Ten Ltd Fujimi Gunma Japan

ISBN: (纸本)9781479944309

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： distributed computing real-time systems MATLAB/Simulink Windows Communication Foundation model-based design wide-area distributed test environments control systems distributed computing real-time systems Distribute Aggregate tests plant models fundamental design embedding

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Enabling Decision Support for the Delivery of real-time services

Enabling Decision Support for the Delivery of Real-Time Serv...

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ieee international Symposim on High Assurance Systems Engineering

作者： David McKee David Webster Jie Xu School of Computing University of Leeds Leeds UK

The domain of high assurance distributed systems has focused greatly on the areas of fault tolerance and dependability. As a result the paradigm of service orientated architectures (SOA) has been commonly applied to realize the significant benefits of loose coupling and dynamic binding. However, there has been limited research addressing the issues of managing real-time constraints in SOAs that are by their very nature dynamic. Although the paradigm itself is derived from fundamental principles of dependability, these same principles appear to not be applied when considering the timed dimension of quality of service. As a result the current state-of-the-art in SOA research only addresses soft real-time and does not seek to provide concrete guarantees about a systems performance. When a distributed system is deployed we do not understand enough the emerging behavior that will occur. This paper therefore proposes an approach that probabilistically monitors system state within a given workflow's execution window. Utilizing a real distributed system we experiment with services from the computer vision domain, with clear real-time constraints, evaluating the performance of each system component. Our approach successfully models the likelihood of the service meeting providing various levels of QoS, providing the basis for a more dynamic and intelligent approach to real-time service orientation.

关键词： Quality of service real-time systems service-oriented architecture Servers Probabilistic logic Data models Concrete

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distributed and Managed: Research Challenges and Opportunities of the Next Generation Cyber-Physical Systems 17

Distributed and Managed: Research Challenges and Opportuniti...

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17th ieee international symposium on object/component/service-oriented real-time distributed computing (ISORC)

作者： Karsai, Gabor Balasubramanian, Daniel Dubey, Abhishek Otte, William R. Vanderbilt Univ Inst Software Integrated Syst Nashville TN 37235 USA

ISBN: (纸本)9781479944309

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： distributed systems cyber-physical systems

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timely Long Tail Identification through Agent Based Monitoring and Analytics

Timely Long Tail Identification through Agent Based Monitori...

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international symposium on object-oriented real-time distributed computing

作者： Peter Garraghan Xue Ouyang Paul Townend Jie Xu School of Computing University of Leeds Leeds UK

The increasing complexity and scale of distributed systems has resulted in the manifestation of emergent behavior which substantially affects overall system performance. A significant emergent property is that of the "Long Tail", whereby a small proportion of task stragglers significantly impact job execution completion times. To mitigate such behavior, straggling tasks occurring within the system need to be accurately identified in a timely manner. However, current approaches focus on mitigation rather than identification, which typically identify stragglers too late in the execution lifecycle. This paper presents a method and tool to identify Long Tail behavior within distributed systems in a timely manner, through a combination of online and offline analytics. This is achieved through historical analysis to profile and model task execution patterns, which then inform online analytic agents that monitor task execution at runtime. Furthermore, we provide an empirical analysis of two large-scale production Cloud data enters that demonstrate the challenge of data skew within modern distributed systems, this analysis shows that approximately 5% of task stragglers caused by data skew impact 50% of the total jobs for batch processes. Our results demonstrate that our approach is capable of identifying task stragglers less than 11% into their execution lifecycle with 98% accuracy, signifying significant improvement over current state-of-the-art practice and enables far more effective mitigation strategies in large-scale distributed systems worldwide.

关键词： Analytical models Runtime Monitoring Production Quality of service Cloud computing Servers

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Secure and QoS-Managed Information Exchange Between Enterprise and Constrained Environments 17

Secure and QoS-Managed Information Exchange Between Enterpri...

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17th ieee international symposium on object/component/service-oriented real-time distributed computing (ISORC)

作者： Pal, Partha Atighetchi, Michael Soule, Nathaniel Ishakian, Vatche Loyall, Joseph Grant, Robert Sinclair, Asher Raytheon BBN Technol Cambridge MA 02138 USA US Air Force Res Lab Rome NY USA

ISBN: (纸本)9781479944309

Mobile devices performing mission-critical functions at the tactical edge, such as those employed by first responders, military personnel, and law enforcement, operate in environments that are vastly different from enterprise computing environments. In spite of the differences in resource availability, threat models, vulnerabilities, information formats, and communication protocols, there is a great advantage to (and great demand for) enabling information exchange between the tactical edge and enterprise environments. Creating a specialized mobile version of each desired service that incorporates an appropriate level of security protection and quality of service (QoS) for the tactical users is one possibility. Such an approach is not cost effective, however, as the market for a given tactical application is small compared to the commercial user base for mobile applications and services. Furthermore, the need for information or services from the enterprise by tactical users can be too ad hoc and time critical, e.g., during disaster response, to support developing a specialized version. Finally, service specialization for mobile web access covers only one of multiple information dissemination and access patterns that arise in tactical operations. This paper presents the design and a prototype implementation of a gateway solution that provides secure tactical-enterprise information exchange and handles the differences in resource availability, QoS requirements, communication formats, and protocols.

关键词： gateway middleware service tactical and enterprise environments quality of service security information management

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The MIDdleware Assurance Substrate: Enabling Strong real-time Guarantees in Open Systems with OpenFlow 17

The MIDdleware Assurance Substrate: Enabling Strong Real-Tim...

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17th ieee international symposium on object/component/service-oriented real-time distributed computing (ISORC)

作者： King, Andrew L. Chen, Sanjian Lee, Insup Univ Penn Comp & Informat Sci Dept Philadelphia PA 19104 USA

ISBN: (纸本)9781479944309

Middleware designed for use in distributed real-time and Embedded (DRE) systems enable cost and development time reductions by providing simple communications abstractions and hiding operating system-level networking API details from developers. While current middleware technologies can hide many low-level details, designers must provide a static configuration for the system's underlying network in order to achieve required performance characteristics. This has not been a problem for many types of DRE systems where the configuration of the system is relatively fixed from the factory (e.g., aircraft or naval vessels). However for truly open systems (i.e., systems where end users can add or substract components at runtime) the standard static network configuration approach cannot guarantee that required performance will be met because network resource demands are not fully known a priori. Open systems with stringent performance requirements need middleware that can dynamically manage the underlying network configuration automatically in response to changing demands. Fortunately, recent trends in networking have resulted in a wide variety of networking equipment that expose a standardized low-level interface to their configuration via the OpenFlow protocol. In this paper we discuss how OpenFlow can be leveraged by DRE middleware to automatically provide performance guarantees. In order to make the discussion concrete, we describe the architecture of our prototype middleware MIDAS as well as the details of one example network resource management strategy. We demonstrate the feasibility of our approach via performance assesment of a simple DRE application using our MIDAS and commerically available OpenFlow hardware.

关键词： Hardware Middleware Ports (Computers) Publish-subscribe Quality of service real-time systems Timing OpenFlow distributed systems middleware real-time systems software defined networking Middleware real-time systems Publish-subscribe open systems Computer hardware Quality of service distributed Systems DESTRUCTION REMOVAL EFFICIENCY MIDAS

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Online Behavior Classification for Anomaly Detection in Self-x real-time Systems 17

Online Behavior Classification for Anomaly Detection in Self...

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17th ieee international symposium on object/component/service-oriented real-time distributed computing (ISORC)

作者： Rammig, Franz Stahl, Katharina Univ Paderborn Heinz Nixdorf Inst Design Distributed Embedded Syst Res Grp D-33102 Paderborn Germany

ISBN: (纸本)9781479944309

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： Context Knowledge based systems Memory management Operating systems real-time systems Runtime Training anomaly detection artificial immune systems danger theory real-time operating systems suffix trees anomaly detection real time operating system real-time systems artificial immune systems Runtime Knowledge Bases Knowledge based systems Store management Operating systems Functional training Normal behavior

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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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8th ieee international symposium on service oriented System Engineering (SOSE)

作者： Zhao, Li Fu, Ge Liu, Qian Liu, Xinran Cao, Wei Tech Team Coordinat Ctr China CNCERT Natl Comp Network Emergency Response Beijing Peoples R China Changan Commun Technol Co Ltd Beijing Peoples R China

ISBN: (纸本)9781479936168

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 distributed computing system traffic monitoring

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Message from the ieee ISORC 2014 General Chairs

Message from the IEEE ISORC 2014 General Chairs

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international symposium on object-oriented real-time distributed computing

Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.

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Message from the ieee ISORC 2014 Program Co-chairs

Message from the IEEE ISORC 2014 Program Co-chairs

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international symposium on object-oriented real-time distributed computing

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