Performance issues for domain-oriented time-driven distributed simulations by David Nicol

Cover of: Performance issues for domain-oriented time-driven distributed simulations | David Nicol

Published by National Aeronautics and Space Administration, Langley Research Center, For sale by the National Technical Information Service in Hampton, Va, [Springfield, Va .

Written in English

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  • Parallel processing (Electronic computers),
  • Computer programs.

Edition Notes

Book details

Other titlesPerformance issues for domain oriented time driven distributed simulations.
StatementDavid M. Nicol.
SeriesICASE report -- no. 87-50., NASA contractor report -- 178351., NASA contractor report -- NASA CR-178351.
ContributionsLangley Research Center.
The Physical Object
Pagination1 v.
ID Numbers
Open LibraryOL15287008M

Download Performance issues for domain-oriented time-driven distributed simulations

Three such issues are (i) the problem of mapping the simulation onto the architecture, (ii) the possibilities for performing redundant computation in order to reduce com-munication, and (iii) the avoidance of deadlock due to distributed contention for message-buffer space.

Get this from a library. Performance issues for domain-oriented time-driven distributed simulations. [David M Nicol; Langley Research Center.].

Performance Issues for Domain-Oriented Time-Driven Distributed Simulations* David M. Nicof The College of William and Mary and Institute for Computer Applications in Science and Engineering Abstract It has long been recognized that simulations form an interesting and important clase of com- putations that may benefit from distributed or parallel processing.

Author: David M. Nicol. To address challenges in data-driven and large-scale distributed simulations, this special issue includes eight papers on the following topics: frameworks and toolkits for large-scale parallel and distributed simulations, system and performance issues related to large-scale data-driven and distributed simulations, and : Wentong Cai, Heiko Aydt.

Common car-following models for microscopic traffic simulation assume Performance issues for domain-oriented time-driven distributed simulations book time advancement using fixed-sized time steps.

However, a purely time-driven execution is inefficient when the states of some agents are independent of other agents and thus predictable far. The remainder of. this paper discuss design alternative for realizing high performance distributed interactive simulation (DIS) application using the OMG Data Distribution Service (DDS), which is a QoS enabled publish/subscribe platform.

standard for time-critical, data-centric and large scale distributed networks. Performance Modeling and Design of Computer Systems Computer systems design is full of conundrums: Given a choice between a single machine with speed s,orn machines each with speed s/n, which should we choose.

If both the arrival rate and service rate double, will the mean response time stay theCited by: M. Baldi, Y. Ofek, "Blocking Probability with Time-driven Priority Scheduling," SCS Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS ), Vancouver, BC, Canada, July establishing and evaluating its utility.

The results of the simulation point to the responsiveness of the DSSA to the contextual organizational factors during the project life cycle. Keywords: Neuro-Fuzzy, Distributed Software, System Architecture, Organizational Variables, Performance Evaluation, User Involvement. INTRODUCTION.

Based on the proposed scheme, a simulation environment, namely distributed system simulator (DSS), was constructed for the evaluation of distributed application performance. DSS enables the exploitation of various types of distributed applications, including user-defined ones, as well as of the network by: Parallel and distributed simulation is a powerful tool for developing complex agent-based simulation.

Complex simulations require parallel and distributed high performance. performance issues late in the design cycle - after the simu-lation model is complete - therefore addressing changes can be rather time-consuming and costly.

An approach for the formal model-based performance eval-uation of DRE systems is demonstrated in Ptolemy II [16], that addresses some of these issues. Ptolemy II is a general. In this context, one of the most mature tools is the IEEE —Standard for M&S High Level Architecture (HLA). However, building and maintaining distributed simulations components, based on the IEEE standard, is still a challenging and costly by: 7.

In this type of simulations, the main contributions of our work are: a) we showed that distributed time-driven simulations do not always improve the performance when using synchronous communication strategies, b) we show asynchronous communications strategies are more efficient.

In addition, we have verified that Cited by: 6. Distributed Interactive Simulation Systems for Simulation and Training in the Aerospace Environment: Proceedings of a Conference Held AprilOrlando, Florida Volume 58 of Critical reviews of optical science and technology, ISSN Proceedings of SPIE Series: Author: Thomas L.

Clarke: Editor: Thomas L. Clarke: Contributor. This is an introduction and reference for Real-Time Distributed Simulation. Distributed Simulation is the term describing connecting people, equipment and simulators together in a synthetic environment.

If you are involved with any type of simulator and want to connect it to another system, then you need to have this book/5(2). Clustering, Agent-based Modeling and Simulation, Performance Evaluation. INTRODUCTION The analysis and design of modern distributed systems require powerful and flexible methods, tools and techniques, which are also based on bottom-up approaches and incorporate the use of simulation to support the typical phases of a software.

The text is organized in five sections. Section 1 describes the need for distributed simulation; it gives a quick survey of the system simulation problem, the sequential simulation algorithm and its shortcomings. The scope of the paper and a history of distributed simulation are also included in.

machines). This paper describes a performance analysis program for the evaluation of a design for distributed simulations based upon actors. Introduction The motivation for this research was distributed simulation of aircraft engines as part of an engine simulation environment developed by NASA Lewis Research Center for theCited by: 3.

Section 3 illustrates common models for real-time execution of distributed simulations. Section 4 presents various architectural alternatives for realizing real-time distributed simulation services. Section 5 describes a prototype implementation that was developed and presents measurements of its performance.

Complex simulations require parallel and distributed high performance computing solutions. It is necessary because their sequential solutions are not able to give answers in a feasible total. Towards Model Driven Verifiable Deployment of Distributed Simulations in Cloud Yogesh D. Barve Institute for Software Integrated Systems, Issues such as vendor lock-in can make the users tied to a given can affect the simulation performance and execution progress.

Host system overloading can also affect theAuthor: Yogesh D. Barve. A PERFORMANCE ANALYSIS MODEL FOR DISTRIBUTED SIMULATIONS David B. Cavitt c. Michael Overstreet Kurt 1. Maly Department ofComputer Science Old Dominion University Norfolk, Virginia U.S.A.

ABSTRACT Distributed simulation has proved to be a cost effective technique for studying and understanding complex real­ world systems. performance evaluation through simulation and a simulation tool has been constructed for this purpose.

Modeling examples and a case study for a distributed database banking system are also presented. Introduction The outburst in network technology gave rise to different types of applications operating in a network environment.

In today’s guest post, Umut Durak talks about his book Distributed Simulation: A Model Driven Engineering Approach (Simulation Foundations, Methods and Applications) that just came out this January. Enter Umut.

In the Simulation Interoperability Workshop, Andreas Tolk started the discussion in his paper Avoiding another Green Elephant – A.

A discrete-event simulation (DES) models the operation of a system as a sequence of events in time. Each event occurs at a particular instant in time and marks a change of state in the system. Between consecutive events, no change in the system is assumed to occur; thus the simulation time can directly jump to the occurrence time of the next event, which is called next-event time.

The Art of Computer Systems Performance Analysis "At last, a welcome and needed text for computer professionals who require practical, ready-to-apply techniques for performance analysis.

Highly recommended!" -Dr. Leonard Kleinrock University of California, Los Angeles "An entirely refreshing text which has just the right mixture of theory and real world practice.5/5(1).

The objective of this thesis is to discuss the creation of an environment that can simulate the behavior of the Agent based Distributed File System (ADFS) developed at the Milan Polytechnic and compare its performances with NFS, currently one of the most widespread file system available on the : Michele Domenico Todino.

The discussion of the process and pragmatics of object-oriented analysis and design has been greatly expanded. The process is only discussed in general terms, however, and readers must study the applications in Section 3 before appreciating the methodology. Debugging performance issues across distributed systems is a difficult task, and debugging data-driven performance issues is an even bigger challenge due to the anomalies that can be buried under millions of requests.

Sometimes, it’s like finding a needle in haystack. This proposal concerns the design and implementation of a distributed, scalable event simulation framework for use in K education. The system incorporates several components from recent research in High Performance Computing (HPC) and distributed Simulation.

This paper develops performance models that quantify the impact of these partitioning and provisioning decisions on overall distributed system performance and.

Performance models offer a convenient tool to assess design alternatives and predict the execution time of distributed simulation (DS) systems at design time, before system implementation.

Currently, perfor-mance models are to be manually developed and the related extra effort often becomes the limiting factor for their cost- and time-effective. Domain-Specific Processors: Systems, Architectures, Modeling, and Simulation - CRC Press Book Ranging from low-level application and architecture optimizations to high-level modeling and exploration concerns, this authoritative reference compiles essential research on various levels of abstraction appearing in embedded systems and software design.

Migration from Central to Distributed Simulations • Benefits of decomposing the model –Modularity –can easily replace one component with another –No specific software requirements –Proprietary models can be integrated in a simulation and remain protected • Issues –Modularity adds some overhead that slightly increases execution time.

practical tool for analysis, distributed simulations can be used to reduce run time. But partly because of the expertise needed to run distributed simulations (DS) e¢ ciently, it has not yet enjoyed wide-spread use [11, 31].

This work develops a framework for predicting distributed simulation run-time performance before the simulation is run. Many systems are naturally Discrete Event Systems (DES) (e.g., Internet) → all.

state transitions are event-driven Most of the rest are Hybrid Systems (HS) → some. state transitions are event-driven Many systems are distributed → components interact asynchronously (through events) Time-driven sampling inherently inefficient (“open File Size: 1MB.

This book is the bible for the software engineers. It' clearly changes the thinking perspective of every software engineer. Even though it is a "must read"book for developers who are willing to implement the domain driven design in their application, but in my opinion, others can also hugely benefitted from this book/5.

Data distribution management (DDM) is a High Level Architecture/Run-time Infrastructure (HLA/RTI) service that manages the distribution of state updates and interaction information in large-scale distributed simulations.

The key to efficient DDM is to limit and control the volume of data exchanged during the simulation, to relay data to only those hosts Cited by: 1. Using system show performance command to see background filesystem activity. PURPOSE. This article describes how to use the system show performance command to view background activities which may impact the performance of the Data Domain system, such as cleaning.

Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. I always try to persuade companies to use DDD but It is always rejected because of it's poor performance! currently I have been working on a project with a large data.

some of the store procedures take more that an hour to completed.Investigating the dynamics and function of large-scale spiking neuronal networks with realistic numbers of synapses is made possible today by state-of-the-art simulation code that scales to the largest contemporary supercomputers.

However, simulations that involve electrical interactions, also called gap junctions, besides chemical synapses scale only poorly due to a .The simulation of such systems with traditional time-driven molecular dynamics is highly inefficient. Instead, it is straight-forward to consider the interactions as instanteneous events and solve the problem with an event-driven algorithm.

One reason why event-driven molecular dynamics has not become as popular as conventional time-driven Cited by:

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