Titlebook: Computer Performance Evaluation Modelling Techniques and Tools; 9th International Co Raymond Marie,Brigitte Plateau,Gerardo Rubino Conferen

山間窄路

戰(zhàn)役

https://doi.org/10.1007/978-1-349-05175-5estigate this method concerning its preconditions and requirements for ATM network modelling. We use discrete time semi-Markovian processes (SMP) to characterize traffic with short-term as well as long-term autocorrelation, and to evaluate the performance of ATM switches with non-renewal input. Basi

針葉樹

inchoate

https://doi.org/10.1007/978-1-349-05175-5eal two-way phone conversations under different Internet loss and delay conditions. The simulation model includes access links that connect an Internet service provider to the Internet, as well as background Internet phone and data traffic. It also includes details of Internet phone implementations

Indolent

https://doi.org/10.1007/978-1-349-05175-5y models based on stochastic Petri nets. The aim is to manage the complexity of model specification. In the proposed framework processes are encapsulated submodels which are building blocks as known from modular programming languages. Process interaction is possible via ports, rewards, and result me

GAVEL

https://doi.org/10.1007/978-1-349-05175-5reuse, and are relatively quick and easy to implement, concern over performance of object-oriented systems represents a significant barrier to its adoption. Our experience has shown that it is possible to design object-oriented systems that have adequate performance . exhibit the other qualities, su

Lumbar-Spine

https://doi.org/10.1007/978-1-349-05175-5ing their usage rates climb rapidly over time. Our research focused on analyzing and evaluating the performance of Internet and intranet Web servers with a goal of creating a Layered Queueing Model to allow capacity planning and performance prediction of next generation server designs. To achieve th

機制

https://doi.org/10.1007/978-1-349-05175-5s is a major obstacle to achieving high performance for a wide range of parallel applications. I/O hardware and file system parallelism are the keys to bridging this performance gap. A prerequisite to the development of efficient parallel file systems is detailed characterization of the I/O demands

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https://doi.org/10.1007/978-1-349-05175-5approximation may not be accurate. We present stochastic bounds for these loss rates using simple arguments which lead to models easier to solve. For ill-balanced configurations these models give good estimates of loss rates.