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Annual Hawaii International Conference on System Sciences (HICSS)

作者： A.R. Hevner R.C. Linger G. Walton Information Systems & Decision Sciences Dept University of South Florida Tampa FL USA Software Engineering Institute Carnegie Mellon University Pittsburgh PA USA Electrical & Computer Engineering Dept University of Central Florida Orlando FL USA

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An optimization framework for dynamic, distributed real-time systems

An optimization framework for dynamic, distributed real-time...

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： K. Ecker D. Juedes L. Welch D. Chelberg C. Bruggeman F. Drews D. Fleeman D. Parrott B. Pfarr Department of Computer Science Technical University of Clausthal-Zellerfeld Clausthal-Zellerfeld Germany Center for Intelligent Distributed and Dependable Systems School of Electrical Engineering and Computer Science Ohio University Athens OH USA Real-Time Software Engineering Branch NASA Goddard Space Flight Center Baltimore MD USA

The paper presents a model that is useful for developing resource allocation algorithms for distributed real-time systems that operate in dynamic environments. Interesting aspects of the model include dynamic environments, utility and service levels, which provide a means for graceful degradation in resource-constrained situations and support optimization of the allocation of resources. The paper also provides an allocation algorithm that illustrates how to use the model for producing feasible, optimal resource allocations.

关键词： Real time systems Resource management NASA Satellites computer networks Space technology Geoscience computer science Sensor arrays Instruments

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A layered reference model of the brain

A layered reference model of the brain

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IEEE International Conference on Cognitive Informatics

作者： Yingxu Wang S. Patel D. Patel Ying Wang Theoretical and Empirical Software Engineering Research Center Department of Electrical & Computer Engineering University of Calgary Calgary AB Canada School of Computing Information Systems and Mathematics South Bank University London UK Xian Dachaishi 1 Fourth City Hospital Xi'an Shaanxi China

ISBN: (纸本)0769519865

Based on the advances of research in cognitive informatics and related fields, this paper attempts to develop a layered reference model of the brain that explains the functional mechanisms and cognitive processes of the natural intelligence. A variety of life functions and cognitive processes have been identified in cognitive informatics, cognitive science, neuropsychology, and neurophilosophy. In order to formally and rigorously describe a comprehensive and coherent set of mental processes and their relationships, an integrated reference model of the brain is established, which encompasses 37 cognitive processes at six layers known as the sensation, memory, perception, action, meta and higher cognitive layers from bottom up. The reference model of the brain may be applied to explain a wide range of physiological, psychological, and cognitive phenomena in cognitive informatics, particularly relationships between the inherited and the acquired life functions, as well as the subconscious and conscious cognitive processes.

关键词： Brain modeling Cognitive informatics Open systems software engineering Psychology Protocols computer networks Local area networks Wide area networks Context modeling

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Testing and certification of trustworthy systems introduction to minitrack

Proceedings of the 36th Annual Hawaii International Conferen...

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Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003 2003年 336-336页

作者： Hevner, A.R. Linger, R.C. Walton, G. Information Systems and Decision Sciences Dept. Univ. of South Florida TampaFL33620 United States Software Engineering Institute Carnegie Mellon University PittsburghPA15213 United States Electrical and Computer Engineering Dept. Univ. of Central Florida OrlandoFL32816 United States

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Combining hierarchy encoding and pre-grouping: intelligent grouping in star join processing

Combining hierarchy encoding and pre-grouping: intelligent g...

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International Conference on Data engineering

作者： R. Pieringer K. Elhardt F. Ramsak V. Markl R. Fenk R. Bayer N. Karayannidis A. Tsois T. Sellis Transaction Software GmbH Munchen Germany Bayerisches Forschungszentrum für Wissensbasierte Systeme Garching Germany IBM Almaden Research Center San Jose CA USA Institut für Informatik TU München Garching Germany Institute of Communication and Computer Systems and Department of Electrical and Computer Engineering National and Technical University of Athens Athens Greece

Efficient star query processing is crucial for a performant data warehouse (DW) implementation and much work is available on physical optimization (e.g., indexing and schema design) and logical optimization (e.g., pre-aggregated materialized views with query rewriting). One important step in the query processing phase is, however, still a bottleneck: the residual join of results from the fact table with the dimension tables in combination with grouping and aggregation. This phase typically consumes between 50% and 80% of the overall processing time. In typical DW scenarios pre-grouping methods only have a limited effect as the grouping is usually specified on the hierarchy levels of the dimension tables and not on the fact table itself. We suggest a combination of hierarchical clustering and pre-grouping as we have implemented in the relational DBMS Transbase. Exploiting hierarchy semantics for the pre-grouping of fact table result tuples is several times faster than conventional query processing. The reason for this is that hierarchical pre-grouping reduces the number of join operations significantly. With this method even queries covering a large part of the fact table can be executed within a time span acceptable for interactive query processing.

关键词： Encoding Data engineering

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Real-time embedded system support for the BTeV level 1 muon trigger

Real-time embedded system support for the BTeV level 1 muon ...

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2003 IEEE Nuclear Science Symposium Conference Record - Nuclear Science Symposium, Medical Imaging Conference

作者： Haney, Michael J. Beauregard, D. Iyer, R. Kalbarczyk, Z. Liu, Q. Wang, L. Haney, M. Selen, M. Mosse, D. Shigiltchoff, O. Chopade, R. Hovey, L. Jung, M. Messie, D. Oh, J. Stone, S. Bapty, T. Neema, S. Nordstrom, S. Shetty, S. Vashishtha, S. Yao, D. Sheldon, P. Vaandering, E. Butler, J. Gottschalk, E. Kowalkowski, J. Votava, M. Appel, J. University of Illinois Urbana IL 61801 United States Des./Validation Reliable N.S.R.G. University of Illinois High Energy Physics Group Department of Physics University of Illinois Department of Computer Science Coll. in High Sch. Educ. Program University of Pittsburgh Department of Electrical Engineering Syracuse University High Energy Physics Group Department of Physics Syracuse University Inst. for Software Intgd. Systems Vanderbilt University Department of Physics BTeV Group Vanderbilt University BTeV Collaboration Particle Physics Division Fermi Natl. Accelerator Laboratory Computing Division Fermi Natl. Accelerator Laboratory Fermilab Education Office Fermi Natl. Accelerator Laboratory

The Level 1 Muon Trigger subsystem for BTeV will be implemented using the same architectural building blocks as the BTeV Level 1 Pixel Trigger: pipelined field programmable gate arrays feeding a farm of dedicated processing elements. The muon trigger algorithm identifies candidate tracks, and is sensitive to the muon charge (sign);candidate dimuon events are identified by complementary charge track-pairs. To insure that the trigger is operating effectively, the trigger development team is actively collaborating in an independent multi-university research program for reliable, self-aware, fault adaptive behavior in real-time embedded systems (RTES). Key elements of the architecture, algorithm, performance, and engineered reliability are presented.

关键词： Embedded systems

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Adaptive QoS management for collaboration in heterogeneous environments 16

Adaptive QoS management for collaboration in heterogeneous e...

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16th International Parallel and Distributed Processing Symposium, IPDPS 2002

作者： Chowdhury, R. Bhandarkar, P. Parashar, M. Applied Software Systems Laboratory Department of Electrical and Computer Engineering CAIP Center Rutgers the State University of New Jersey 94 Brett Road PiscatawayNJ08854 United States

ISBN: (纸本)0769515738

Adaptive Quality-of-Service management is critical for enabling effective collaboration between distributed clients in a heterogeneous (wired and wireless) environment. This is because both client profiles (capabilities, interests and resources) and system resources can be significantly different and highly dynamic. This paper presents the design and prototype implementation of an adaptive QoS management framework for collaborative multimedia applications in distributed, heterogeneous environments. The overall goal of the framework is to locally adapt the shared information to meet the capabilities, interests and current state of each collaborating client while preserving the semantic content of the information to maintain effective sharing. Transformations investigated in this paper include gradual gradations and modality transformations. The framework builds on a publisher-subscriber messaging substrate that uses semantic profiles and provides each client with direct and immediate access to all information defined by its needs and capabilities, without having to maintain and update global rosters. It interfaces with the Simple Network Management Protocol (SNMP) to determine the state of the network by directly querying network elements. An experimental evaluation of the framework for wired and wireless clients is also presented. © 2002 IEEE.

关键词： Adaptive QoS management collaboration heterogeneity multimedia network management publisher-subscriber paradigm

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Adaptive System Sensitive Partitioning of AMR Applications on Heterogeneous Clusters

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Cluster Computing 2002年第4期5卷 343-352页

作者： Sinha, Shweta Parashar, Manish The Applied Software Systems Laboratory Department of Electrical and Computer Engineering Rutgers The State University of New Jersey Piscataway USA

This paper presents the design and evaluation of an adaptive system sensitive partitioning and load balancing framework for distributed adaptive mesh refinement applications on heterogeneous and dynamic cluster environments. The framework uses system capabilities and current system state to select and tune appropriate partitioning parameters (e.g., partitioning granularity, load per processor) to maximize overall application performance. Furthermore, it uses dynamic load sensing (using NWS) to adapt to the load dynamics in the cluster.

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Managing QoS for multimedia applications in a differentiated services environment

Managing QoS for multimedia applications in a differentiated...

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International Workshop on Active Middleware Services

作者： M. Mahajan M. Parashar The Applied Software Systems Laboratory Department of Electrical and Computer Engineering Rutgers University Piscataway NJ USA

The overall quality of network connections has a significant impact on the performance of networked applications. Consequently, QoS management for networked multimedia applications over IP is a significant and immediate challenge. While differentiated services (diffserv) provide a sense of resource allocation and QoS, they do not guarantee QoS. This paper presents design, implementation and evaluation of a content-aware bandwidth broker (CABB) that manages QoS of multimedia applications for the diffserv environment. CABB allocates network resources to multimedia flows based on client requirement and the tolerance and adaptability of the application. CABB has been implemented and evaluated using the NS-2 simulator toolkit. Evaluations show that CABB improves network resource allocations and increases overall throughput. The results also show that multimedia flows are better managed and controlled, thereby improving perceived QoS and avoiding possible congestion in core routers.

关键词： Environmental management Quality of service Diffserv networks Resource management Bandwidth Application software IP networks Content management Communication system traffic control Multiprotocol label switching

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Hierarchical partitioning techniques for structured adaptive mesh refinement (SAMR) applications

Hierarchical partitioning techniques for structured adaptive...

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International Conference on Parallel Processing Workshops (ICPPW)

作者： Xiaolin Li S. Ramanathan M. Parashar The Applied Software Systems Laboratory Department of Electrical and Computer Engineering Rutgers State University of New Jersey Piscataway NJ USA

Presents the design and preliminary evaluation of hierarchical partitioning and load-balancing techniques for distributed structured adaptive mesh refinement (SAMR) applications. The overall goal of these techniques is to enable the load distribution to reflect the state of the adaptive grid hierarchy and exploit it to reduce synchronization requirements, improve load-balance, and enable concurrent communications and incremental redistribution. The hierarchical partitioning algorithm (HPA) partitions the computational domain into subdomains and assigns them to hierarchical processor groups. Two variants of HPA are presented. The static hierarchical partitioning algorithm (SHRA) assigns portions of overall load to processor groups. In SHRA, the group size and the number of processors in each group is setup during initialization and remains unchanged during application execution. It is experimentally shown that SHRA reduces communication costs as compared to the Non-HPA scheme, and reduces overall application execution time by up to 41%. The adaptive hierarchical partitioning algorithm (AHRA) dynamically partitions the processor pool into hierarchical groups that match the structure of the adaptive grid hierarchy.

关键词： Adaptive mesh refinement Partitioning algorithms Distributed computing Concurrent computing Application software Cost accounting Load management High performance computing Cost function Parallel processing

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