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检索条件"任意字段=International Symposium on Software Engineering for Parallel and Distributed Systems"

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A quality of service framework for dependability in large-scale distributed systems

A quality of service framework for dependability in large-sc...

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6th IEEE international symposium on Service-Oriented System engineering, SOSE 2011

作者： Bull, Peter Guan, Lin Phill, Iain Grigg, Alan Department of Computer Science Loughborough University Loughborough United Kingdom Systems Engineering Innovation Centre BAE Systems Loughborough United Kingdom

ISBN: (纸本)9781467304108

As recognition grows within industry for the advantages that can be gained through the exploitation of large-scale dynamic systems, a need emerges for dependable performance. Future systems are being developed with a requirement to support mission critical and safety critical applications. These levels of criticality require predictable performance and as such have traditionally not been associated with adaptive systems. The software architecture proposed for such systems takes its properties from the service-oriented computing paradigm and the communication model follows a publish/subscribe approach. While adaptive, such architectures do not, however, typically support real-time levels of performance. There is scope, however, for dependability within such architectures through the use of Quality of Service (QoS) methods. QoS is used in systems where the distribution of resources cannot be decided at design time. In this paper a QoS based framework is proposed for providing adaptive and dependable behaviour for future large-scale dynamic systems through the flexible allocation of resources. Simulation results are presented to demonstrate the benefits of the QoS framework and the tradeoffs that occur between negotiation algorithms of varying complexities. © 2011 IEEE.

关键词： Quality of service

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Predicting node failure in high performance computing systems from failure and usage logs

Predicting node failure in high performance computing system...

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25th IEEE international parallel and distributed Processing symposium, Workshops and Phd Forum, IPDPSW 2011

作者： Nakka, Nithin Agrawal, Ankit Choudhary, Alok Coordinated Science Laboratory University of Illinois at Urbana-Champaign 1308 W. Main St. Urbana IL 61801 United States Department of Electrical Engineering and Computer Science Northwestern University Tech Inst. Bldg. 2145 Sheridan Rd. Evanston IL 60202 United States

ISBN: (纸本)9780769543857

In this paper, we apply data mining classification schemes to predict failures in a high performance computer system. Failure and Usage data logs collected on supercomputing clusters at Los Alamos National Laboratory (LANL) were used to extract instances of failure information. For each failure instance, past and future failure information is accumulated - time of usage, system idle time, time of unavailability, time since last failure, time to next failure. We performed two separate analyses, with and without classifying the failures based on their root cause. Based on this data, we applied some popular decision tree classifiers to predict if a failure would occur within 1 hour. Our experiments show that our prediction system predicts failures with a high-degree of precision up to 73% and recall of about 80%. We also observed that employing the usage data along with the failure data has improved the accuracy of prediction. © 2011 IEEE.

关键词： Forecasting

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Predictable deployment in component-based enterprise distributed real-time and embedded systems 11

Predictable deployment in component-based enterprise distrib...

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Proceedings of the 14th international ACM Sigsoft symposium on Component based software engineering

作者： Otte, William R. Gokhale, Aniruddha Schmidt, Douglas C. Department of Electrical Engineering and Computer Science Vanderbilt University Nashville TN 37235 United States

ISBN: (纸本)9781450307239

Component-based middleware, such as the Lightweight CORBA Component Model, are increasingly used to implement large-scale distributed real-time and embedded (DRE) systems. In addition to supporting the quality of service (QoS) requirements of individual DRE systems, component technologies must also support bounded latencies when effecting deployment changes to DRE systems in response to changing environmental conditions and operational requirements. This paper makes three contributions to the study of predictable deployment latencies in DRE systems. First, we describe OMG's Deployment and Configuration (D&C) specification for component-based systems and discuss how conventional implementations of this standard can significantly degrade deployment latencies. Second, we describe architectural changes and performance optimizations implemented within the Locality-Enhanced Deployment and Configuration Engine (LE-DAnCE) implementation of the D&C specification. Finally, we analyze the performance of LE-DAnCE in the context of component deployments on 10 nodes for a representative DRE system consisting of 1,000 components. Our results show LE-DAnCE's optimizations provide a bounded deployment latency of less than 2 seconds with 2 percent jitter. © 2011 ACM.

关键词： Middleware

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Parabilis: Speeding up single-threaded applications by extracting fine-grained threads for multi-core execution

Parabilis: Speeding up single-threaded applications by extra...

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2011 10th international symposium on parallel and distributed Computing, ISPDC 2011

作者： Fawibe, Ademola Okobiah, Oghenekarho Garitselov, Oleg Kavi, Krishna Nwachukwu, Izuchukwu Dubasi, Mohana Asha Latha Prabhu, Vinay R. Department of Computer Science and Engineering University of North Texas Denton TX 76203 United States

ISBN: (纸本)9780769545400

The trend in architectural designs has been towards using simple cores for building multicore chips, instead of a single complex out-of-order (OOO) core, due to the increased complexity and energy requirements of out of order processors. Multicore chips provide better performance when compared with OOO cores while executing parallel applications. However, they are not able to exploit the parallelism inherent in single threaded applications. To this end, this paper presents a compiler optimization methodology coupled with minimal hardware extensions to extract simple fine-grained threads from a single-threaded application, for execution on multiple cores of a chip multiprocessor (CMP). These fine-grained threads are independent and eliminate the need for communication between cores, reducing costly communication latencies. This approach, which we call Parabilis is scalable for up to eight cores, and does not require complex hardware additions to simple multicore systems. Our evaluation shows that Parabilis yields an average speedup of 1.51 on an 8-core CMP architecture. © 2011 IEEE.

关键词： Computer architecture

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A domain specific expert system model for diagnostic consultation in psychiatry

A domain specific expert system model for diagnostic consult...

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2011 12th ACIS international Conference on software engineering, Artificial Intelligence Networking and parallel distributed Computing, SNPD 2011

作者： Fernando, Irosh Henskens, Frans Cohen, Martin School of Electrical Engineering and Computer Science University of Newcastle Callaghan NSW 2308 Australia Mater Hospital Hunter New England Area Health Service Waratah NSW 2298 Australia

ISBN: (纸本)9780769544755

Medical Experts systems have been one of the earliest and ongoing pursuits of the Artificial Intelligence (AI) community. Unfortunately, they still remain a largely unrealized goal. The systems that have been developed are either prototypes, or involve only small knowledge domains. One of the main reasons for this situation is explained as the lack of domain specific models. While it is true that there are significant differences in the nature of the clinical knowledge and the diagnostic strategies used by expert clinicians across different medical subspecialties, this fact has been largely overlooked. In addition, Knowledge engineers who are not the domain experts have failed to capture the uniqueness, depth and the complexity of clinical reasoning. This has resulted in expert system models that are too generic and non-intuitive to clinicians. Psychiatry is characterized by its highly subjective and vague knowledge and reasoning process. Therefore generic models, which have not taken this into consideration, are particularly unsuitable for psychiatry. The authors have introduced an expert system model specific for psychiatry, in which diagnostic knowledge is described as a hierarchically organized set of entities through which diagnostic inference is made via a bottom-up approach. The relationships between the entities in diagnostic knowledge are described in terms of likelihoods and the degrees of severity using approximated mathematical functions. While this model highlights the need for domain specific models, it also gives insight to the implementation of similar approaches in other medical subspecialties. It is the intention that this model will be implemented as a web-based diagnostic consultation system. © 2011 IEEE.

关键词： Expert systems

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Range free localization schemes for Wireless Sensor Networks

Range free localization schemes for Wireless Sensor Networks

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作者： Kumar, Ashok Kumar, Vinay Kapoor, Vinod Department of Electronics and Communication Engineering National Institute of Technology Hamirpur HP - 177 005 India

ISBN: (纸本)9789604742776

Wireless Sensor Networks (WSNs) are being used for a large number of location-dependent applications, where the measurement data is meaningless without accurate location of its origin. In many of these applications, where coarse accuracy is sufficient, range free localization techniques are being pursued as low cost alternative to the range based localization techniques. Localization in WSNs is to determine the physical position of a sensor node based on the known positions of other sensor nodes having a priori knowledge of their position. In this paper, we present range free Adaptive Neural Fuzzy Inference System (ANFIS) trained Sugeno weighted centroid localization and combined Mamdani-Sugeno fuzzy localization methods. In the proposed techniques the weights of anchor nodes are obtained either through ANFIS trained Sugeno fuzzy inference system or by combined Mamdani-Sugeno fuzzy inference approach. We compared the proposed techniques, through extensive simulation with simple centroid, Mamdani and Sugeno fuzzy methods. The simulation results demonstrate the effectiveness of proposed schemes.

关键词： Sensor nodes

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Cooperative caching in mobile ad hoc networks through clustering

Cooperative caching in mobile ad hoc networks through cluste...

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作者： Chand, Narottam Chauhan, Naveen Department of Computer Science and Engineering National Institute of Technology Hamirpur HP - 177 005 India

ISBN: (纸本)9789604742776

Constrained communication environment in mobile ad hoc networks (MANETs) due to insufficient wireless bandwidth and limited battery energy makes data retrieval a challenging problem. Due to frequent network disconnections in MANETs data availability is lower than traditional wired networks. Caching of frequently accessed data in such environment is a potential technique that can improve the data access performance and availability. Cooperative caching, which allows the sharing and coordination of cached data among clients, can further explore the potential of caching techniques. In this paper, we present a scheme, called global cluster cooperation (GCC) for caching in mobile ad hoc networks. In this scheme network topology is partitioned into non-overlapping clusters based on the physical network proximity. This approach fully exploits the pull mechanism to facilitate cache sharing in a MANET. Simulation experiments show that GCC mechanism achieves significant improvements in cache hit ratio and average query latency in comparison with other caching strategies.

关键词： Mobile ad hoc networks

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A scalable reverse lookup scheme using group-based shifted declustering layout

A scalable reverse lookup scheme using group-based shifted d...

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25th IEEE international parallel and distributed Processing symposium, IPDPS 2011

作者： Zhang, Junyao Shang, Pengju Wang, Jun Department of Electrical Engineering and Computer Science University of Central Florida Orlando FL 32826 United States

ISBN: (纸本)9780769543857

Recent years have witnessed an increasing demand for super data clusters. The super data clusters have reached the petabyte-scale that can consist of thousands or tens of thousands storage nodes at a single site. For this architecture, reliability is becoming a great concern. In order to achieve a high reliability, data recovery and node reconstruction is a must. Although extensive research works have investigated how to sustain high performance and high reliability in case of node failures at large scale, a reverse lookup problem, namely finding the objects list for the failed node remains open. This is especially true for storage systems with high requirement of data integrity and availability, such as scientific research data clusters and etc. Existing solutions are either time consuming or expensive. Meanwhile, replication based block placement can be used to realize fast reverse lookup. However, they are designed for centralized, small-scale storage architectures. In this paper, we propose a fast and efficient reverse lookup scheme named Group-based Shifted Declustering (G-SD) layout that is able to locate the whole content of the failed node. G-SD extends our previous shifted declustering layout and applies to large-scale file systems. Our mathematical proofs and real-life experiments show that G-SD is a scalable reverse lookup scheme that is up to one order of magnitude faster than existing schemes. © 2011 IEEE.

关键词： Reliability

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Proceedings - international symposium on Code Generation and Optimization, CGO 2011

Proceedings - International Symposium on Code Generation and...

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9th international symposium on Code Generation and Optimization, CGO 2011

ISBN: (纸本)9781612843551

The proceedings contain 28 papers. The topics discussed include: array building blocks: a dynamic compiler for data-parallel heterogeneous systems;essential abstractions in GCC;GPU programming models, optimizations and tuning;PIPS: an interprocedural extensible source-to-source compiler infrastructure for code/application transformations and instrumentations;program optimization through loop vectorization;reconciling compilers and timing analysis for safety-critical real-time systems - the WCET-aware C compiler WCC;inside X10: implementing a high-level language on distributed and heterogeneous platforms;MAO - an extensible micro-architectural optimizer;phase-based tuning for better utilization of performance-asymmetric multicore processors;dynamic register promotion of stack variables;link-time optimization for power efficiency in a tagless instruction cache;and the runtime abort graph and its application to software transactional memory optimization.

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Enabling scheduling analysis for AUTOSAR systems

Enabling scheduling analysis for AUTOSAR systems

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IEEE international symposium on Object, Component, Service-Oriented Real-Time distributed Computing

作者： Anssi, Saoussen Tucci-Pergiovanni, Sara Kuntz, Stefan Gérard, Sébastien Terrier, François Continental Automotive France SAS PowerTrain e IPP 1 Avenue Paul Ourliac 31036 France CEA LIST Laboratory of Model Driven Engineering for Embedded Systems Point Courrier 94 Gif-sur-Yvette F-91191 France

ISBN: (纸本)9780769543680

AUTOSAR (Automotive Open System Architecture) is enjoying increasing interest and broad acceptance in the automotive domain. AUTOSAR aims at defining an open standardized software architecture to face future challenges in automotive development including the development of time-critical systems (e.g. brake-by-wire or steer-by-wire). Mastering the development of such systems requires being able to analyze their real-time behavior. Scheduling analysis is the theory that studies how far a real-time system may satisfy its real-time requirements against its real-time properties. In this paper, we will study to what extent it is possible to apply some of those scheduling analysis techniques on real-time systems deployed on AUTOSAR compliant architectures. The paper focuses on scheduling analysis techniques implemented in one open source tool. A concrete case study shows the feasibility of the approach and shows scheduling analysis results. © 2011 IEEE.

关键词： Real time systems

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