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检索条件"任意字段=7th IEEE International Symposium on Object-Oriented Real-Time Distributed Computing"

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real-time Hybrid Intrusion Detection System using Apache Storm 17

Real-time Hybrid Intrusion Detection System using Apache Sto...

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2015 ieee 17th international Conference on High Performance computing and Communications (HPCC)

作者： Mylavarapu, Goutam thomas, Johnson Kumar, Ashwin T. K. Oklahoma State Univ Dept Comp Sci Stillwater OK 74078 USA

ISBN: (纸本)9781479989379

Networks are prone to intrusions and detecting intruders on the Internet, is a major problem. Many Intrusion Detection Systems have been proposed to detect these intrusions. However, as the Internet grows day by day, there is a huge amount of data (big data) that needs to be processed to detect intruders. For this reason, intrusion detection has to be done in real-time before intruders can inflict damage, and previous detection systems do not satisfy this need for big data. Using Apache Storm, a real time Hybrid Intrusion Detection System has been developed in our work. Apache Storm serves as a distributed, fault tolerant, real time big data stream processor. the hybrid detection system consists of two neural networks. the CC4 instantaneous neural network acts as an anomaly-based detection for unknown attacks and the Multi Layer Perceptron neural network acts as a misuse-based detection for known attacks. Based on the outputs from these two neural networks, the incoming data will be classified as "attack" or "normal." We found the average accuracy of hybrid detection system is 89% with a 4.32% false positive rate. this model is appropriate for real time detection since Apache Storm acts as a real time streaming processor, which can also handle big data.

关键词： Hybrid intrusion detection real time streaming Apache Storm CC4 neural network multi-layered perceptron ISCX 2012 Intrusion dataset

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Operating system performance in support of real-time middleware 7

Operating system performance in support of real-time middlew...

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7th ieee international Workshop on object-oriented real-time Dependable Systems (WORDS 2002)

作者： Schmidt, DC Deshpande, M O'Ryan, C Univ Calif Irvine Dept Elect & Comp Engn Irvine CA 92612 USA

ISBN: (纸本)0769515762

Commerical-off-the-shelf (COTS) hardware and software is being evaluated and/or used in an increasing range of mission-critical distributed real-time and embedded (DRE) systems. Due to substantial R&D investment over the past decade, COTS middleware has recently matured to the point where it is no longer the dominant factor in the overhead non-determinism, and priority inversion incurred by DRE systems. As a result, the focus has shifted to the COTS operating systems and networks, which are once again responsible for the majority of end-to-end latency and jitter. this paper compares and evaluates the suitability of popular COTS operating systems for real-time COTS middleware, such as real-time CORBA. We examine real-time operating systems (VxWorks and QNX), general-purpose operating systems with real-time thread scheduling classes (Windows NT, Windows 2K, and Linux), and a hybrid real-time/general-purpose operating system (Linux/RT). While holding the hardware and ORB constant, we vary these operating systems systematically to measure platform-specific variations in context switch overhead, throughput of the ORB in terms of two-way operations per-second and memory footprint of the ORB libraries. We also measure how the latency and jitter of high-priority operations are affected as the number of low-priority operations increase. Our results indicate that real-time operating systems remain the platforms of choice to deliver predictable, efficient, and scalable performance for DRE middleware and applications. However, the emergence of hybrid general-purpose/real-time operating systems, such as Linux/RT are a promising direction for future DRE systems. Although Linux/RT is not yet as deterministic as traditional real-time operating systems, such as QNX and VxWork's, it does provide more predictable and scalable behavior compared to mainstream operating systems, such as Windows NT/2K. Since traditional real-time operating systems tend to be expensive and tedious to confi

关键词： real-time CORBA object request brokers real-time operating system middleware support

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Vertex-centric Parallel Algorithms for Identifying Key Vertices in Large-scale Graphs 17

Vertex-centric Parallel Algorithms for Identifying Key Verti...

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2015 ieee 17th international Conference on High Performance computing and Communications (HPCC)

作者： Li, Bo Gao, Zhuangliang Niu, Jianwei Lv, YanFei Zhang, Hong Beihang Univ Sch Comp Sci & Engn Beijing Peoples R China CNCERT CC Beijing Peoples R China

ISBN: (纸本)9781479989379

Betweenness centrality is a metric to measure the relative importance of vertices within a graph. the computation of betweenness centrality is based on shortest paths which requires O(n+m) space and O(mn) and O(nm+n(2) log n) time on unweighted and weighted graphs, respectively. It is time-consuming to deal with large-scale graphs, which motivates us resort to distributed computing and parallel algorithms. In this paper, we design a vertex-based parallel algorithm following the shortest path approach (SPBC). Moreover, we propose a distributed algorithm based on message propagation (MPBC) to quantify the importance of vertices. MPBC takes into account the real situation of information diffusion in social networks. We implement our algorithms on Graphlab and evaluate them through comprehensive experiments. the results show that both SPBC and MPBC scale well with the increasing number of machines. SPBC on 2 machines outperforms the classical centralized algorithm by 1.59 times in terms of running time. MPBC can handle graph with ten millions of vertices and edges within an acceptable time where classical algorithms become infeasible.

关键词： key vertices parallel algorithm SPBC MPBC

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Proceedings - ieee international symposium on distributed Simulation and real-time Applications, DS-RT

Proceedings - IEEE International Symposium on Distributed Si...

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7th ieee international symposium on distributed Simulation and real-time Applications, DS-RT 2003

ISBN: (纸本)0769520367

the proceedings contain 24 papers. the topics discussed include: interest management in agent-based distributed simulations;enabling real-time distributed virtual simulation over the internet using host-based overlay multicast;heterogeneous architecture and testbed for simulation of large-scale real-time systems;adaptive scheduling techniques for multimedia computing in hard real-time systems;real time inspection of hidden worlds;an agent architecture for network support of distributed simulation systems;model based network emulation to study the behavior and quality of real-time applications;peer-to-peer suitability for collaborative multiplayer games;an event-synchronization protocol for parallel simulation of large-scale wireless networks;and time warp cancellation optimizations on high latency networks.

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Design space exploration of object caches with cross-profiling

Design space exploration of object caches with cross-profili...

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作者： Schoeberl, Martin Binder, Walter Villazón, Alex Department of Informatics and Mathematical Modeling Technical University of Denmark Denmark Faculty of Informatics University of Lugano Switzerland Universidad Privada Boliviana Bolivia

ISBN: (纸本)9780769543680

To avoid data cache trashing between heap-allocated data and other data areas, a distinct object cache has been proposed for embedded real-time Java processors. this object cache uses high associativity in order to statically track different object pointers for worst-case execution-time analysis. However, before implementing such an object cache, an empirical analysis of different organization forms is needed. We use a cross-profiling technique based on aspect-oriented programming in order to evaluate different object cache organizations with standard Java benchmarks. From the evaluation we conclude that field access exhibits some temporal locality, but almost no spatial locality. therefore, filling long cache lines on a miss just introduces a high miss penalty without increasing the hit rate enough to make up for the increased miss penalty. For an object cache, it is more efficient to fill individual words within the cache line on a miss. © 2011 ieee.

关键词： Aspect oriented programming

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Detecting Fault Injection Attacks on Embedded real-time Applications: A System-Level Perspective 17

Detecting Fault Injection Attacks on Embedded Real-Time Appl...

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2015 ieee 17th international Conference on High Performance computing and Communications (HPCC)

作者： Wen, Liang Jiang, Wei Jiang, Ke Zhang, Xia Pan, Xiong Zhou, Keran Univ Elect Sci & Technol China Sch Informat & Software Engn Chengdu Sichuan Peoples R China Linkoping Univ Dept Comp & Informat Sci Linkoping Sweden Univ Texas Dallas Dept Comp Sci Richardson TX USA

ISBN: (纸本)9781479989379

this paper presents an approach to the synthesis of secure real-time applications mapped on distributed embedded systems, which focuses on preventing fault injection attacks. We utilize symmetric cryptographic service to protect confidentiality, and deploy fault detection within confidential algorithm to resist fault injection attacks. Several fault detection schemes are identified, and their fault coverage rates and time overheads are derived and measured, respectively. Our synthesis approach makes efforts to determine the best fault detection schemes for the encryption/decryption of messages, such that the overall security strength of resisting fault injection attack is minimized, and the deadline constraint of the real-time applications is guaranteed. Since addressing the problem is still a NP-hard problem, we propose an efficient algorithm based on Fruit fly Optimization Algorithm (FOA), which can achieve better results by lower time overheads, compared with simulated annealing algorithm. Extensive experiments demonstrate the superiority of our approach.

关键词： Fault coverage Fault detection Fault injection attack System-level design

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Building responsive TMR-based servers in presence of timing constraints

Building responsive TMR-based servers in presence of timing ...

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Eighth ieee international symposium on object-oriented real-time distributed computing, ISORC 2005

作者： Ezhilchelvan, Paul Hélary, Jean-Michel Raynal, Michel Dept of Computing Science University of Newcastle NE1 7RU United Kingdom IRISA Campus de Beaulieu 35042 Rennes Cedex France

ISBN: (纸本)0769523560

this paper is on the construction of a fault-tolerant and responsive server subsystem in an application context where the subsystem is accessed through an asynchronous network by a large number of clients. the server is made fault-tolerant by the Triple Modular Redundancy (TMR) technique: at least two server processes behave correctly, while the third one can behave arbitrarily. An essential requirement for process replication is that the client inputs be delivered to server replicas for processing in an identical order. Moreover, in order to cope with process' memory requirement, a time bound constraint is imposed: no client input can stay in the local memory of a server process more than Σ units of time. Based on known technologies, two assumptions are made: (1) the network delivers a given client input to any two server processes within a known bounded time (D), and (2), there is an Ordered timed Atomic Broadcast protocol built on top of the TMR system with timeliness Δ. the paper presents two results. the first is a protocol that delivers an ordered stream of client inputs, such that every client input is delivered exactly once to each correct server, thus eliminating redundant verification. It works under the assumption Σ > D + Δ. the second is an impossibility result, namely there can be no ordering protocol when Σ < D + Δ, where Δ is the minimum timeliness of any reliable broadcast protocol that can be implemented on top of the TMR server (Δ &le Δ).

关键词： Servers

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Process Control over real-time Wireless Sensor and Actuator Networks 17

Process Control over Real-Time Wireless Sensor and Actuator ...

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2015 ieee 17th international Conference on High Performance computing and Communications (HPCC)

作者： Blevins, Terry Chen, Deji Han, Song Nixon, Mark Wojsznis, Willy Emerson Proc Management 1100 W Louis Henna Blvd Round Rock TX 78681 USA Tongji Univ Dept Comp Sci & Engn Shanghai 200092 Peoples R China Univ Connecticut Dept Comp Sci & Engn Storrs CT 06269 USA

ISBN: (纸本)9781479989379

Wireless technologies have been successfully applied in the process industry since the creation of the first international standard IEC62591 WirelessHART. Applications started in areas where wireless sensors provide rich process information to the automation systems. Although real and demonstrated control applications are advertised, wireless-for-control is still in the initial stage and faces a lot of challenges. In particular, feedback latency and battery longevity, which are also problems for wireless-for-sensing, are even more critical when wireless actuators are applied. there are additional challenges in using wireless actuators because they actively affect the process. this paper lays the foundation for control using a wireless actuator. It demonstrates how traditional control methodologies can be modified to effectively work with general wireless communication. the innovations are tested with simulations and experimentations, both on commercial distributed control systems.

关键词： Wireless Sensor and Actuator Networks real-time Communication Process Control

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Power Management in Cluster-Based Energy-Harvesting Sensor Networks through Dynamic Modulation Scaling 17

Power Management in Cluster-Based Energy-Harvesting Sensor N...

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2015 ieee 17th international Conference on High Performance computing and Communications (HPCC)

作者： Bandari, Maryam Simon, Robert Aydin, Hakan George Mason Univ Dept Comp Sci Fairfax VA 22030 USA

ISBN: (纸本)9781479989379

this paper considers real-time cluster-based wireless sensor networks where the nodes harvest energy from the environment. We target performance sensitive applications that have to collectively send their information to cluster head by a predefined deadline, such as in distributed real-time monitoring and detection. the nodes are equipped with Dynamic Modulation Scaling (DMS) capable wireless radios. the problem is to determine the time slots and modulation levels that will be used by each node while communicating with the cluster-head in order to achieve energy-neutral (perpetual) operation and maximize energy reserves. We propose a solution that adjusts underlying TDMA slots to enable high-energy nodes to transmit faster and thus produce larger slack for low-energy nodes, while meeting the performance constraint. We present an optimal mixed integer programming based solution. We also develop fast heuristics that are shown to provide approximate solutions through comprehensive experiments with actual solar energy harvesting profiles.

关键词： energy harvesting integer programming modulation pattern clustering telecommunication power management wireless sensor networks DMS TDMA cluster-based energy-harvesting wireless sensor network dynamic modulation scaling energy-neutral operation optimal mixed integer programming power management solar energy harvesting profile wireless radio Batteries Energy harvesting Logic gates Modulation real-time systems Wireless communication Wireless sensor networks

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Research of context situation awareness technology

Research of context situation awareness technology

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作者： Shi, Dianxi Wu, Zhendong Ding, Bo Yan, Huining National Key Laboratory for Parallel and Distributed Processing School of Computer Science National University of Defense Technology Changsha 410073 China

ISBN: (纸本)9780769546698

Context situation, which means a snapshot of the status of the real world, is formed by integrating a large amount of contexts collected from various resources. How to get the context situation and use the situation to provide better services is a challenging issue. In this paper, we focused on this challenge on the basis of the mobile cloud computing architecture. An abstract model is proposed in this paper to uniformly collect the context and send them to cloud. A rule-based large-scale context aggregation algorithm is also proposed which utilizes the MapReduce computing paradigm. Finally, a large-scale context management framework based on the abstract model and the context aggregation algorithm is proposed, and a real-time traffic demo is implemented to verify the validity of the framework. © 2012 ieee.

关键词： MapReduce

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