DARPA ULTRALOG Final Report - Industrial and Manufacturing ...

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Manuscript for IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 20 Table 3. Experimental results Control Policy F2-RR F2-PA F3-RR F3-PA F4-RR F4-PA F5-RR F5-PA PC-RR PC-PA T 5614 4814 8019 7219 10423 9624 12828 12028 12828 12028 Con1-1 V 14400 14400 21600 21600 28800 28800 36000 36000 36000 36000 QoS 11593 11993 17590 17990 23588 23988 29585 29985 29585 29985 % 0.386 0.400 0.586 0.600 0.786 0.800 0.986 1.000 0.986 1.000 T 5592 4993 8093 7114 10356 9593 12846 11885 12846 11885 Con1-2 V 14400 14400 21600 21600 28800 28800 36000 36000 36000 36000 QoS 11604 11903 17553 18043 23622 24004 29577 30058 29577 30058 % 0.387 0.397 0.585 0.601 0.787 0.800 0.986 1.002 0.986 1.002 T 5614 4814 8019 7219 10423 9624 12828 12028 11282 9742 Con2-1 V 14400 14400 21600 21600 28800 28800 36000 36000 34283 33700 QoS 5980 7179 9572 10771 13164 14364 16757 17956 17359 19087 % 0.311 0.374 0.499 0.561 0.686 0.748 0.873 0.935 0.904 0.994 T 5592 4993 8093 7114 10356 9593 12846 11885 11313 10062 Con2-2 V 14400 14400 21600 21600 28800 28800 36000 36000 34183 33845 QoS 6011 6910 9460 10929 13266 14411 16731 18173 17214 18752 % 0.313 0.360 0.493 0.569 0.691 0.751 0.871 0.947 0.897 0.977 T 5614 4814 8019 7219 10423 9624 12828 12028 6171 4881 Con3-1 V 14400 14400 21600 21600 28800 28800 36000 36000 25354 24055 QoS 366 2365 1553 3553 2741 4740 3928 5928 9927 11853 % 0.031 0.197 0.129 0.296 0.228 0.395 0.327 0.494 0.827 0.988 T 5592 4993 8093 7114 10356 9593 12846 11885 6309 5089 Con3-2 V 14400 14400 21600 21600 28800 28800 36000 36000 25593 24277 QoS 419 1917 1367 3816 2910 4818 3886 6289 9820 11554 % 0.035 0.160 0.114 0.318 0.243 0.402 0.324 0.524 0.818 0.963 T: Completion time, V: Value of solution, %: QoS/QoS UB 6. Conclusions The increasing complexity of modern software systems gives rise to the needs for more sophisticated but scalable control mechanisms. In this paper we designed such a control mechanism for an emerging information network. The network is large-scale with distributed and component-based architectures, and its behavior can be controlled by algorithm selection and resource allocation. In the designed control mechanism, an auction market coordinates the components of a network to produce optimal decisions and the market opens periodically for each current system state.
Manuscript for IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 21 Our work can be extended by providing adaptivity to changing stress environments. As the modern systems can be easily exposed to various adverse events such as accidental failures and malicious attacks, there is a need to adapt to such environments. Because the adverse events affect the system by limiting available resources, it would be possible to model such environments by quantifying the resource availability of the system through appropriate sensors. Acknowledgements The authors acknowledge the support for this research provided by DARPA (Grant#: MDA972-01-1-0038) under the UltraLog program. References [1] B. Meyer, “On to components”, IEEE Computer, vol. 32, no. 1, pp. 139-140, 1999. [2] P. Clements, “From subroutine to subsystems: Component-based software development,” in Component Based Software Engineering, A. W. Brown, Ed. IEEE Computer Society Press, 1996, pp. 3-6. [3] M. O. McCracken, A. Snavely, and A. Malony, “Performance modeling for dynamic algorithm selection,” in Proc. Int. Conf. Computational Science, 2003, pp. 749-758. [4] P. Oreizy, M. M. Gorlick, R. N. Taylor, D. Heimbigner, G. Johnson, N. Medvidovic, A. Quilici, D. S. Rosenblum, and A. L. Wolf, “An architecture-based approach to self-adaptive software,” IEEE Intelligent Systems, vol. 14, no. 3, pp. 54-62, 1999. [5] D. Moore, W. Wright, and R. Kilmer, “Control surfaces for Cougaar,” in Proc. First Open Cougaar Conference, 2004, pp. 37-44. [6] W. Peng, V. Manikonda, and S. Kumara, “Understanding agent societies using distributed
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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
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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
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Manuscript for IEEE Transactions on
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Page 106 and 107: 2 discuss problem domain and in Sec
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Page 118 and 119: component is a member of one of the
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Page 122 and 123: limit of large number of tasks. If
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Page 168 and 169: Figure 1. Agent Hierarchy in CPE So
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Page 172 and 173: Table 2. TechSpecs: Infrastructure
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Page 176 and 177: Acknowledgements The work described
Page 178 and 179: key realization to tackle this prob
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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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