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Table 3. The services model

in The Gaia Methodology for Agent-Oriented Analysis and Design
by Michael Wooldridge, Nicholas R. Jennings, David Kinny 2000
"... In PAGE 12: ...WOOLDRIDGE, JENNINGS, AND KINNY Table3 . Instance Qualifiers Qualifier Meaning n there will be exactly n instances m::n there will be between m and n instances there will be 0 or more instances + there will be 1 or more instances 4.... In PAGE 15: ... Again because of space limitations we con- centrate on the QUOTEMANAGER role and the Customer Service Division Agent. Based on the QUOTEMANAGER role, seven distinct services can be identified ( Table3 ). From the GetCustomerRequirements protocol, we derive the service obtain customer requirements .... ..."
Cited by 483

Table 2: Gaia Services Model

in Combining Gaia and JADE for Multi-Agent Systems Development
by Pavlos Moraitis 2004
"... In PAGE 3: ... The Agent model is presented graphically in Figure 2. The services model for our system is presented in Table2 . Finally we defined the acquaintances model (the reader could refer to Moraitis et al.... ..."
Cited by 1

Table 1 Interpretation of services in model

in Stochastic Modeling of Processor Scheduling with Application to Database Management Systems
by S. S. Lavenberg, G. S. Shedler 1976
"... In PAGE 7: ...since al, is interpreted as the dura- tion of processor service 2) if +,, = 0 and as the sum of the durations of processor services 2) and 4) if +,, = 1 (see Table1 ) . If alk and +,, are assumed to be dependent, then a joint distribution of the random variables a, and +, must be specified.... ..."
Cited by 1

Table 4. Gaia Services Model

in Engineering JADE Agents with the Gaia Methodology
by Pavlos Moraitis, Eleftheria Petraki, Nikolaos I. Spanoudakis 2003
Cited by 12

Table 2: Service model parameters in milliseconds.

in Flow Control for Limited Buffer Multicast
by Peter B. Danzig 1994
"... In PAGE 17: ... Using the method derived in the appendix, we t the model service time distributions for G0(x) and G1(x) to the moments of the measured service time. Table2 lists the model apos;s parameters for various size messages and computer systems. We implemented the multicast backo algorithm on eleven computers connected together via an Ethernet.... ..."
Cited by 17

Table 2. The used values for the service model parameters.

in Provisioning and scheduling resources for worldwide data-sharing services
by Ru Iosup, Paweł Garbacki, D. H. J. Epema
"... In PAGE 4: ... For our simulations, we define five workload types: Low Load, Normal Load, High Load, Very High Load, and Ex- treme Load. Table2 shows the values of the service model parameters, for the five types of workloads. The data for the Normal Load were extracted directly from our previous data [13]; the values for the High Load and Very High Load workloads were inferred from the trends reported from our... ..."
Cited by 1

Table 1: Comparison of generated and reference service models

in Towards Automatic Construction of Reusable Prediction Models for Component-Based Performance Engineering
by Heiko Koziolek, Klaus Krogmann, Ralf Reussner
"... In PAGE 10: ...lating the manual model is shown in Fig. 6 (red line, median 6150 ms). As the curves are widely overlapping, we conclude that the prediction based on semi-automatically built model with Java2PCM achieved a similar accuracy as the prediction based on manually built models. Table1 summarizes the most important observations from comparing the manually cre- ated models with the semi-automatically constructed ones. The code analysis captured all relevant actions, while the developer modelling the services had omitted some external service calls, or captured their estimated impact in InternalActions, thereby losing accuracy.... ..."

TABLE 4. SERVICES MODEL FOR KNOWLEDGE MANAGER

in Towards an Agent-Based Framework for Online After-Sale Services
by Lu Zhang, Frans Coenen, Wei Huang, Paul Leng

Table 1. Input parameters for Web service models

in Accurately Modeling Workload Interactions for Deploying Prefetching in Web Servers
by Xin Chen, Xiaodong Zhang

Table 1: Input parameters for Web service models.

in Abstract Model-Based Resource Provisioning in a Web Service Utility
by Ronald P. Doyle
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