DARPA ULTRALOG Final Report - Industrial and Manufacturing ...

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Manuscript for IEEE Transactions on Automatic Control 24 4000 3000 Optimal T 2000 1000 0 0 200 400 600 800 1000 1200 1400 1600 1800 2000 Time Fig. 12. Adaptive behavior of T * in stochastic environment (Con4) 6.0 A 8 A 4 5.0 A 2 4.0 A 1 Mode 3.0 2.0 1.0 0 200 400 600 800 1000 1200 1400 1600 1800 2000 Time Fig. 13. Adaptive behavior of v i * in stochastic environment (Con4) 9. Conclusions A typical information network emerges as a result of automation or organizational integration, which is large-scale with distributed and component-based architecture. In this paper we developed an adaptive control mechanism to support the survivability of such networks by
Manuscript for IEEE Transactions on Automatic Control 25 utilizing alternative algorithms. We designed an auction market which coordinates the components of a network. Each component bids based on its measured resource availability and optimal decisions are made through a multi-tier auctioning process. By periodically opening the auction market, the system can achieve desirable performance adaptive to changing stress environment while assuring scalability property. Our work can be extended by considering more general network configurations. There can be multiple components in a machine sharing resources together. In such resource sharing environments, we have an opportunity to improve system performance by appropriately allocating resources. Though the designed control mechanism is applicable to the resource sharing environments, it would be desirable to explore an appropriate control mechanism by incorporating the resource allocation in addition. References [1] S. Jha and J. M. Wing, “Survivability analysis of networked systems,” in Proc. 23rd Int. Conf. Software engineering, 2001, pp. 307-317. [2] R. Ellison, D. Fisher, H. Lipson, T. Longstaff, and N. Mead, “Survivable network systems: An emerging discipline,” Software Engineering Institute, Carnegie Mellon University, Pittsburg, PA, Tech. Rep. CMU/SEI-97-153, 1997. [3] J. E. Eggleston, S. Jamin, T. P. Kelly, J. K. MacKie-Mason, W. E. Walsh, and M. P. Wellman, “Survivability through market-based adaptivity: The MARX project,” in Proc. DARPA Information Survivability Conference and Exposition, 2000, pp. 145-156. [4] S. Bowers, L. Delcambre, D. Maier, C. Cowan, P. Wagle, D. McNamee, A. L. Meur, and H. Hinton, “Applying adaptation spaces to support quality of service and survivability,” in
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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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© © ¤ ¢ ¨ ¤ £ ¦ ¨ © §
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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
Page 50 and 51: Estimating Global Stress Environmen
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Page 54 and 55: 100% 1 95% 2 14 15 64% TAO 4 64% 62
Page 56 and 57: interactions as a dynamical system
Page 58 and 59: ehavior states under varying system
Page 60 and 61: Extensive testing and validation of
Page 62 and 63: 5 Conclusions and Future Research T
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Page 68 and 69: 6 stresses well. The Warehouse 1 ag
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Page 72 and 73: Table 1: Notation Symbol Descriptio
Page 74 and 75: 4 Conclusions and Future Work 4.1 C
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Page 78 and 79: Manuscript for IEEE Transactions on
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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
Page 116 and 117: to machines (network topology) and
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
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Page 126 and 127: We set up eight different experimen
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Page 130 and 131: pp. 191-200. [3] I. Foster, C. Kess
Page 132 and 133: Technology, Cambridge, MA, 1995. [2
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Manuscript for IEEE TRANSACTIONS ON
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Coordinating Control Decisions of S
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directly. It has coarser scale. It
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Understanding Agent Societies Using
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• For tasks, the UID of the direc
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for tracking the dependencies betwe
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within the monitored enclave. With
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Figure 1. Agent Hierarchy in CPE So
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Figure 3. The World Model CPY Agent
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Table 2. TechSpecs: Infrastructure
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terms of the average waiting times
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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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