Fishwick PA. Simulation Model Design and Execution: Building Digital Worlds. Prentice-Hall: Englewood Cliffs, NJ, 1995.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....to jobs with a large number of processes. Note, this is contrary to the findings of this paper. Regardless, we find that the DHC original policy approximates DHC EQL at higher loads. 3 Simulation Methodology, Workload Models, and Metric We have simulated a 128 processor machine using the Simpack [12, 13] simulation package. Our simulator models job arrivals with an exponential mean inter arrival time. Upon job arrival the number of processes and total job demand are determined as described below. We do not simulate interprocess synchronization or context switch overheads. All three policies ....

P. A. Fishwick. Simulation Model Design and Execution: Building Digital Worlds. Prentice Hall, 1995.

....value is required in probabilistic systems. Physical events associated with, or actions performed on, temporal objects of the system and producing a result important to those temporal objects, eg a blood pressure test, are termed action objects in our architecture. They correspond to Fishwick s [12] definition of discrete event objects, in that they can represent either a function, with implicit sub events, or time point occurrences. The action object produces a state attribute value, time point tuple, denoting values for the attribute(s) of the temporal object affected by the action ....

Fishwick, P.A. Simulation Model Design and Execution: Building Digital Worlds Prentice-Hall, Englewood Cliffs, New Jersey, 1995.

....[Har 94, Tay 95, Ulu 97] Therefore, we follow the trend in RTDBMSs research for performance analysis, and use computer simulation to test and report on the performance of the models we propose in this thesis. We simulate a single site real time database system. SimPack simulation toolkit [Fish 95] is used to build the simulation system. The goal in this simulation is to test the performance of the priority assignment, concurrency control, and scheduling policies we propose for extended transaction models and transactions with execution histories. 4.1.1 Discrete Event Simulation Discrete ....

....SimPack is a collection of C tools (routines and programs) for computer simulation. The purpose of SimPack is to provide people with a starting point for simulating a system. The intention is that people will view what exists as a template (or seed ) and then grow a simulation program [Fish 95] SimPack supports the discrete event simulation model. 4.2 Real Time Database System Model We simulate a single site, central real time database server. The system consists of a transaction generator, a transaction manager, a resource manager and a concurrency control unit whose interaction is ....

Paul A. Fishwick, "Simulation Model Design and Execution: Building Digital Worlds", Prentice Hall, January 1995. 177

....to jobs with a large number of processes. Note, this is contrary to the findings of this paper. Regardless, we find that the DHC original policy approximates DHC EQL at higher loads. 3 Simulation Methodology, Workload Models, and Metric We have simulated a 128 processor machine using the Simpack [12, 13] simulation package. Our simulator models job arrivals with an exponential mean interarrival time. Upon job arrival the number of processes and total job demand are determined as described below. We do not simulate interprocess synchronization or context switch overheads. All three policies ....

P. A. Fishwick. Simulation Model Design and Execution: Building Digital Worlds. Prentice Hall, 1995.

....for concept assessment with a study of new operational procedures, based on the reduction of vertical separation minima to 1,000 feet above FL195. 2 Simulation based planning Simulation is the discipline of designing a model, executing the model on a digital computer and analyzing the results ([Fis95]) It embodies the principle of learning by doing, whereby to learn about a system, we build a model of some sort and then operate simulate the model. We define simulation based planning as the use of simulation to aid in the decision making process. It relies on a basic iterative approach ....

P. Fishwick. Simulation Model Design and Execution: Building Digital Worlds. Prentice-Hall, January 1995. ISBN 013-098609-7.

....to support high level problem solving. Recall that we defined a model to denote a directed graph of specific computational codes or executables. The notion of the representation of a model is open to many interpretations and intensely debated in the modeling literature (see for instance [29]) we will not attempt to settle this debate here. Instead, we adopt an operational definition for the representation of a model, namely that it is an abstraction of the model that permits useful problem solving capabilities that would not be possible with the model alone. The abstraction could ....

P.A. Fishwick. Simulation Model Design and Execution: Building Digital Worlds. Prentice Hall, 1995.

....of such inaccuracies on the efficacy of the various scheduling algorithms has not been the object of extensive studies. Hence, there is a clear need for new simulation tools that allow for more realistic resource models and for prediction error modeling. A few simulation packages are available [6, 12, 4, 20], but they are not targeted to the simulation of distributed applications for the purpose of evaluating scheduling algorithms. These tools are often very complete and sophisticated but too complex and low level for our our intended purpose. In this work we introduce a new package, Simgrid, which ....

P. Fishwick. Simulation Model Design and Execution: Building Digital Worlds. Prentice Hall, 1994.

....and for simulations) are very restrictive. Recall that we defined a model to denote a directed graph of specific computational codes or executables. The notion of the representation of a model is open to many interpretations and intensely debated in the modeling literature (see for instance [29]) we will not attempt to settle this debate here. Instead, we adopt an operational definition for the representation of a model, namely that it is an abstraction of the model that permits useful problemsolving capabilities that would not be possible with the model alone. The abstraction could ....

P.A. Fishwick. Simulation Model Design and Execution: Building Digital Worlds. Prentice Hall, 1995. 28

....of system level observables does emerge from an agent based model, but the modeler is not as likely use these observables explicitly to drive the model s dynamics as in equation based modeling. These two distinctions are tendencies, not hard and fast rules. The two approaches can be combined [1]: within an individual agent in an ABM, behavioral decisions may be driven by the evaluation of equations over particular observables, and one could implement an agent with global view whose task is to access system level observables and make them visible to local agents, thus driving an ABM with ....

P. A. Fishwick. Simulation Model Design and Execution: Building Digital Worlds. Englewood Cliffs, NJ, Prentice Hall, 1995.

....temp; first = 0; size = 0; Uses LinearFEL 14, cnode 14 20, element 14 20, first 14, next 12 14 14 23a 23a, reset 12 14 20, and temp 16a 23a 23a. This code is used in chunk 15a. 19 3 Class SplayFEL The program code in this section is based on the C code to be found in version 1. 23 of SimPack [2], the simulation package maintained by Paul Fishwick at the University of Florida. I ve converted it to C and added my own annotations. Splay trees [6] are a kind of binary search tree; at each node all keys in the left subtree are less than (or equal to) the key of the node, and the right ....

Fishwick, P. A. Simulation Model Design and Execution: Building Digital Worlds. Prentice-Hall, 1995. ISBN 0-13-098609-7. Chapter 10 describes SimPack.

No context found.

P.A. Fishwick, Simulation Model Design and Execution: Building Digital Worlds, Prentice-Hall, Inc., Englewood Clis, NJ.

No context found.

P.A. Fishwick, Simulation Model Design and Execution: Building Digital Worlds, PrenticeHall, Inc., Englewood Cli#s, NJ.

No context found.

Paul Fishwick. Simulation Model Design and Execution: Building Digital Worlds. Prentice Hall, 1995.

No context found.

P. A. Fishwick, Simulation Model Design and Execution: Building Digital Worlds. Prentice Hall, 1995.

No context found.

Paul Fishwick. Simulation Model Design and Execution: Building Digital Worlds. Prentice Hall, 1995.

....fit their cultural requirements. Modeling cliques are identifiable by the conferences they hold and journals that they edit; the scientists become adapted to a particular paradigm [11] to which they hold dear and find useful for their purposes. There is no singular best modeling approach. Fishwick [12] defines numerous formalisms and 2D designs for dynamic models. Ugrankar [13] created a 3D architectural physical scale model of a virtual space to encode a six state FSM that represents a dynamic model of water temperature dynamics in response to heat conduction from a plate. The left hand most ....

Paul A. Fishwick. Simulation Model Design and Execution: Building Digital Worlds. Prentice Hall, 1995.

No context found.

P. A. Fishwick, Simulation Model Design and Execution: Building Digital Worlds, Prentice Hall, 1995.

....scripts according to the specified behavior in the model file. Each behavior is modularized and used as a separate library. Currently, a Finite State Machine (FSM) is incorporated into the Model Fusion Engine and other model types, such as Functional Block Model (FBM) and Petri Net (P Net) [15], are being developed. 3D Modeler Text Editors Model Author Scene File Model File Graphical User Interface NIST Translator Model Fusion Engine (XSLT) Figure 3. XML based rube architecture for Modeling VRML X3D XML XML XML VRML VRML X3D VRML Model Type Behaviors fsm pulsate Digital Object ....

P. A. Fishwick. Simulation Model Design and Execution: Building Digital Worlds, Englewood Cliffs, NJ: Prentice-Hall, 1995.

....Before we discuss specific modeling methods and start modeling dynamic behaviors of an object, let us overview a unifying formalism that serves to represent a wide variety of system models. A deterministic system T, U , Y, Q, W W , d d , l l within classical systems theory is defined as follows [7]: T is the time set. For continuous systems, T = R (reals) and for discrete time systems, T = Z (integers) U is the input set containing the possible values of the input to the system . Y is the output set. Q is the state set. W W is the set of admissible (or acceptable) input ....

....any object can be used. 7. Choose the type of role needed. There are three distinct types of roles played by modelers in rube. At the lowest level, there is the person creating the model templates (FSM, FBM, EQN, PETRI NET) Each dynamic model template reflects an underlying system theoretic model [7]. At the mid level, the person uses an existing model template to create a metaphor. At the highest level, a person is given a set of metaphors and can choose objects from the web to create a model. These levels allow modelers to work at the levels where they are comfortable. 8. Proceed the ....

P. A. Fishwick, Simulation Model Design and Execution: Building Digital Worlds, Englewood Cliffs, NJ: Prentice-Hall, 1995.

No context found.

P. A. Fishwick, Simulation Model Design and Execution: Building Digital Worlds, Prentice Hall, 1995.

....cold, heating, cooling and boiling can be equivalently framed in terms of software for a distributed system involving computers controlling heat exchange elements. 2. Select model types: We take the software and specify the formal dynamic model types to be used. Dynamic model types are plentiful [8] and include automata, Petri nets, data flow networks, scripts, rules, and event graphs. This is the formal step of defining the nature of the dynamics in base model form, and prior to exercising our desire to employ metaphor and aesthetics. 3. Choose a style: Elements from the previous step must ....

....the outside, and Fig. 4(b) is a view from inside the red sphere modeling the phase, illustrating the differential equation model. 4. 3 Architectural Finite State Machine Ugrankar [33] created a 3D physical scale model of a virtual space designed to represent a six state boiling water multimodel [8]. The first four states are identical to those 10 (a) Outside of Heating. b) Inside of Heating. Figure 4: Zooming into the heating phase (Tank2) in [11] The last two states are to handle overflow and underflow conditions where the water either overflows the pot or completely evaporates, ....

Paul A. Fishwick. Simulation Model Design and Execution: Building Digital Worlds. Prentice Hall, 1995.

....a term cannot be interpreted, it becomes explainable only by another sign. Therefore, categories will overlap, and we have a process of infinite recursivity, unlimited semiosis, in the form of a labyrinth. When we speak of connected models rather than signs, we term this labyrinth a multimodel [27, 30, 28, 29]. Others may see this as a vast knowledge base of modeling information, to culminate in knowledge warehouses and semantic networks [77] The model s size is modified to make the actual phenomenon more humanly accessible, and to breed familiarity of the target within those who interact with the ....

....information content. Not all methods are equivalent in terms of efficiency and ergonomics, but efficiency must be weighed against individual aesthetic requirements and taste. The definition of model today is implemented as multimedia; models are connected in vast networks, to create multimodels [28]. No phenomenon has a single view, perspective or layer. This concept is nicely surfaced in the role of the Cubists during the 1920s. The creation of models must take this network into account since the modeler will traverse and explore the network. Multimedia on the web implies dynamic content, ....

Paul A. Fishwick. Simulation Model Design and Execution: Building Digital Worlds. Prentice Hall, 1995. 24

No context found.

Fishwick PA. Simulation Model Design and Execution: Building Digital Worlds. Prentice-Hall: Englewood Cliffs, NJ, 1995.

No context found.

P. A. Fishwick. Simulation Model Design and Execution: Building Digital Worlds. Pearson Education POD, Prentice Hall, 1995.

No context found.

P. A. Fishwick, Simulation Model Design and Execution: Building Digital Worlds, Prentice Hall, 1995.

First 50 documents  Next 50

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC