Performance evaluation of the reactor pattern using the OMNeT++ simulator

Kogekar, Arundhati; Gokhale, Aniruddha

doi:10.1145/1185448.1185603

Cited by 3 publications

(2 citation statements)

References 7 publications

(5 reference statements)

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“…Our two modeling languages POSAML (Patterns-oriented Software Architecture Modeling Language) [14] and SRNML (Stochastic Reward Net Modeling Language) provide the users with intuitive higher level abstractions to model the patterns and their behavior that is useful for analysis. Generative tools associated with these modeling languages then automate the generation of the metadata for simulation, analysis or empirical benchmarking [15], [13].…”

Section: Performance Analysis Of a Middleware Patternmentioning

confidence: 99%

Model-Driven Performance Analysis Methodology for Distributed Software Systems

Gokhale

Vandal

Gokhālé

et al. 2007

2007 IEEE International Parallel and Distributed Processing Symposium

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Abstract-A key enabler of the recently popularized, assemblycentric development approach for distributed real-time software systems is QoS-enabled middleware, which provides reusable building blocks in the form of design patterns that codify solutions to commonly recurring problems. These patterns can be customized by choosing an appropriate set of configuration parameters. The configuration options of the patterns exert a strong influence on system performance, which is of paramount importance in many distributed software systems. Despite this considerable influence, currently there is a lack of significant research to analyze performance of middleware at design time, where performance issues can be resolved at a much earlier stage of the application life cycle and with substantially less costs. The present project seeks to develop a performance analysis methodology for design-time performance analysis for distributed software systems implemented using middleware patterns and their compositions. The methodology is illustrated on a producer/consumer system implemented using the Active Object (AO) pattern in middleware. Finally, broader impacts of the methodology for middleware specialization are also described.

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Section: Performance Analysis Of a Middleware Patternmentioning

confidence: 99%

Model-Driven Performance Analysis Methodology for Distributed Software Systems

Gokhale

Vandal

Gokhālé

et al. 2007

2007 IEEE International Parallel and Distributed Processing Symposium

Self Cite

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“…A layered queuing model with CPU sharing is presented in [21] and is used to analyze multi-level client/server systems for synchronous and asynchronous messages. A performance analysis of the Reactor pattern using an SRN model is presented in [13]. One problem with this approach is dealing with the increase in the number of variations of the model with the increase in options such as threads and queue size.…”

Section: Related Workmentioning

confidence: 99%

Performance prediction of component- and pattern-based middleware for distributed systems

Gorappa

2007

Proceedings of the 4th on Middleware Doctoral Symposium

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Design patterns, components, and frameworks have been successfully used to build various distributed real-time, and embedded (DRE) systems such as high-performance servers, telecommunication systems, and control systems. An application developer may choose from several approaches to implement a distributed application and the choice of design patterns and their configuration can impact the overall performance of the system. Unlike components, design patterns are often descriptions of a programming approach and need to be reified for each application. However, some core pattern implementations can often be reused across applications, if they can be correctly configured to meet application requirements. Currently, there is no general way to quantify the performance of components and design pattern implementations across various dimensions such as throughput, response time, and scalability. The overall performance of applications that are composed from pre-coded components and patterns can be inferred using analytical techniques by modeling the behavior of the individual components. In particular, while we know from experience that patterns exhibit various tradeoffs in terms of performance and complexity; we would like to explore these tradeoffs in a formal way. Toward this goal, we make the following contributions in this thesis: 1) we develop analytical models for various design patterns using queuing models, 2) we present a technique to analyze the performance of combinations of design patterns as observed in real-world applications, and 3) we validate the models using empirical measurements.

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Fibre Channel Switch Modeling at Fibre Channel-2 Level for Large Fabric Storage Area Network Simulations using OMNeT++: Preliminary Results

Gálvez

Ruíz

2007

32nd IEEE Conference on Local Computer Networks (LCN 2007)

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Performance evaluation of the reactor pattern using the OMNeT++ simulator

Cited by 3 publications

References 7 publications

Model-Driven Performance Analysis Methodology for Distributed Software Systems

Model-Driven Performance Analysis Methodology for Distributed Software Systems

Performance prediction of component- and pattern-based middleware for distributed systems

Fibre Channel Switch Modeling at Fibre Channel-2 Level for Large Fabric Storage Area Network Simulations using OMNeT++: Preliminary Results

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