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Decentralized Autonomic Computing : Analyzing Self-organizing emergent behavior using Advanced Numerical methods

Decentralized Autonomic Computing : Analyzing Self-organizing emergent behavior using Advanced Numerical methods. Critique. Goals of the paper. Analyze trends in self-organizing emergent systems through “equation-free” macroscopic analysis

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Decentralized Autonomic Computing : Analyzing Self-organizing emergent behavior using Advanced Numerical methods

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  1. Decentralized Autonomic Computing : Analyzing Self-organizing emergent behavior using Advanced Numerical methods Critique

  2. Goals of the paper • Analyze trends in self-organizing emergent systems through “equation-free” macroscopic analysis • Presents the AGV warehouse transportation systems problem with a solution similar to harvester ants • Evaluate the numerical analysis based simulation approach to quantify the evolution of trends in the system

  3. System-wide guarantees • Need for guarantees • Optimality vs robustness • System-wide guarantees, system-wide properties and steady scenarios

  4. AGV Problem • Why self-organizing emergent solutions? • Presents a solution similar to harvester ants • Desired guarantees • Equal distribution between two desired situations • Small number of AGVs in undesirable situations

  5. Analysis Model • Analytical vs experimental • “Equation-free macroscopic analysis”

  6. Experimental evaluation • Road-map • Macro, micro variables • Measurement & Initialization operator • Micro-macro scale evaluation • Macroscopic time stepper • Simulation with re-initialization • Acceleration of results

  7. Discussions • Emergence & Autonomous Computing. Does one extend to the other? • “Equation-free” macroscopic analysis – does it really scale to complex systems with heterogeneous goals and requirements • Need to prove the emergence of self-CHOP in addition to stability • Does the analysis cover all the cases of operation? Are all simplifications justified?

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