DARPA ULTRALOG Final Report - Industrial and Manufacturing ...

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0. 4 8057 8237 0.5 6439 6635 0.6 5369 5503 0 .667 4829 5135 0.7 4827 4941 0.8 4824 4965 0.9 4822 4984 1.0 4820 4946 35000 30000 25000 Actual T 20000 15000 10000 5000 0 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 Resource reservation Fig. 4. The effects of resource reservation in deterministic environment. When the resource reservation in K 1 is greater than 0.667, there is no significant decrease of completion time. 35000 30000 25000 Actual T 20000 15000 10000 5000 0 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 Resource reservation Fig. 5. The effects of resource reservation in stochastic environment. When the resource reservation in K 1 is greater than somewhere between 0.667 and 0.7, there is no significant decrease of completion time. 16
5. Conclusions The simple Min-min heuristic algorithm was proposed as a method of quantifying the minimal completion time for the component-based service networks. A network can achieve the performance under the constant resource allocation in the limit of large number of tasks. Also, the performance can be guaranteed with the resource reservations we have formulated. The designed method is efficient enough to satisfy the requirements for the use in a grid service environment. In spite of its simplicity, the method can quantify the quality of service effectively. The virtual markets driven by such methods will make timely transactions with desirable surpluses leading to productive virtual economy. Our work can be extended by taking into account alternative algorithms. Each component can have alternative algorithms to process a task which trade off processing time and quality of solution. While network topology and resource allocation try to efficiently utilize limited resources, alternative algorithms can change the amount of required resources. As modern operating environments are highly dynamic, alternative algorithms becomes an important tool to achieve portable high performance [22][23]. Quality of service is determined by not only completion time but also quality of solution. The question is how to quantify the optimal quality of service that can be provided by such a network. References [1] I. Foster and C. Kesselman, The Grid: Blueprint for a New Computing Infrastructure. San Francisco: Morgan Kaufmann Publishers, 1999. [2] R. Hamadi and B. Benatallah, “A Petri net-based model for web service composition,” in Proc. 14th Australasian Database Conf. Database technologies, Adelaide, Australia, 2003, 17
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Ultra*Log PSU/IAI Final Report for
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Contents Contents .................
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Executive Summary Ultra*Log is a De
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2.3 Gnanasambandam, N., Lee, S., Ku
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6 Characterization and analysis of
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timizing simultaneously the link de
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where ∆ 1 (j) ≥ 0 and ∆ 2 (i,
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Table 2. GA Results Agent N A D max
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connected component, in which a pat
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Random Small-world Scale-free with
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Growth mechanisms Start with a smal
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Table 2. The proposed network’s c
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DMAS Controller. The functional uni
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1000 500 0 -500 -1000 0.2 0.4 0.6 0
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tems. Proceedings of the Second Joi
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Proceedings of the 1st Open Cougaar
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1 SITUATION IDENTIFICATION USING DY
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3 3.2 Behavior In SSC society an ag
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5 All the behavior parameters may n
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Estimating Global Stress Environmen
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chaotic deterministic time series.
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100% 1 95% 2 14 15 64% TAO 4 64% 62
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interactions as a dynamical system
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ehavior states under varying system
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Extensive testing and validation of
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5 Conclusions and Future Research T
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2 to function critically even under
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4 points into a corresponding inner
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6 stresses well. The Warehouse 1 ag
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Table 1: Notation Symbol Descriptio
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4 Conclusions and Future Work 4.1 C
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O, U Stresses Physical/Infrastructu
Page 78 and 79: Manuscript for IEEE Transactions on
Page 106 and 107: 2 discuss problem domain and in Sec
Page 108 and 109: 4 t Si t ∫ + ( ) i ) t When RA i
Page 110 and 111: 6 S UB i ∑ = P LI / LI . (16) i p
Page 112 and 113: 8 policies while underutilizing in
Page 114 and 115: architecture based on both the Grid
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Page 118 and 119: component is a member of one of the
Page 120 and 121: denotes the immediate predecessors
Page 122 and 123: limit of large number of tasks. If
Page 124 and 125: Min-min heuristic algorithm Step 1:
Page 126 and 127: We set up eight different experimen
Page 130 and 131: pp. 191-200. [3] I. Foster, C. Kess
Page 132 and 133: Technology, Cambridge, MA, 1995. [2
Page 134 and 135: Manuscript for IEEE TRANSACTIONS ON
Page 156 and 157: Coordinating Control Decisions of S
Page 158 and 159: directly. It has coarser scale. It
Page 160 and 161: Understanding Agent Societies Using
Page 162 and 163: • For tasks, the UID of the direc
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Page 166 and 167: within the monitored enclave. With
Page 168 and 169: Figure 1. Agent Hierarchy in CPE So
Page 170 and 171: Figure 3. The World Model CPY Agent
Page 172 and 173: Table 2. TechSpecs: Infrastructure
Page 174 and 175: terms of the average waiting times
Page 176 and 177: Acknowledgements The work described
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key realization to tackle this prob
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are or ignored perturbations. The e
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sustained oscillations. If the inst
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solved by biological systems for li
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non-linear and non-stationarity. Ne
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D k : Outflow from high priority qu
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the system starts to perform self-s
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sustained in a supply chain. Resour
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which are necessary to make good mo
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focusing on the computational compl
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line of research that deals with ne
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ealizable. But the inherent complex
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Min, H. and Zhou, G., 2002, Supply
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In the rest of this paper we report
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shows relatively irregular behavior
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