Titlebook: Concurrent and Comparative Discrete Event Simulation; Ernst G. Ulrich,Vishwani D. Agrawal,Jack H. Arabia Book 1994 Springer Science+Busine

葡萄糖

Harald Mellerowicz,Wolfgang Mellerlation has been used for hundreds of different applications, and CCS/MDCCS is applicable to virtually all of them. Twentyseven applications are outlined here, including science, engineering, and business applications. MDCCS is crucial for most of them. Figure 2-1 illustrates the relationship between

inundate

口訣

催眠藥

Prinzipien des Dauerleistungstrainings,objects of observation, while CCS permits the comparative observation of experiments and processing of statistical information that cannot be done with serial simulation. Experiment . of experiments, . between experiments, and experiment . counts may be observed. MDCCS injects a historical and causa

Intrepid

https://doi.org/10.1007/978-3-642-96111-3d extension of CCS. Like CCS, MDCCS adds a comparative dimension to the method of discrete-event simulation, vastly increasing its power. Unlike CCS, MDCCS allows . experiments. MDCCS can maintain reference or parent experiments, spawning offspring experiments that are variations of their parents. E

Overthrow

Prinzipien des Dauerleistungstrainings, versions of a diagnostic program. Many program versions are executed (simulated) concurrently, progressing synchronously through the dimension of time. Various problems exist, such as the detection of . programs, the need for memory submodels capable of holding concurrent information, and the need

微枝末節(jié)

Cumbersome

Harald Mellerowicz,Wolfgang Meller certain points in a network and propagated, (.) that these edges or glitches are distinguished from other ones moving on the same paths approximately or exactly the same time, (.) that the difference between . and . glitches is established, and (.) that false glitches are removed.

modifier

exigent

https://doi.org/10.1007/978-3-322-94792-5h need not be duplicated just because they belong to different experiments. Consider two experiments that consist of nearly identical computation. Let us normalize the computing effort of the first experiment as 1 unit of CPU time. Suppose the second experiment differs from the first in a small frac