Chemical Reaction Optimization for population transition in peer-to-peer live streaming

Peer-to-peer (P2P) live streaming applications are very popular in recent years and a Markov open queueing network model was developed to study the population dynamics in P2P live streaming. Based on the model, we deduce an optimization problem, called population transition problem, with the objective of maximizing the probability of universal streaming by manipulating population transition probability matrix. We employ a chemical reaction-inspired metaheuristic, Chemical Reaction Optimization (CRO), to solve the problem. Simulation results show that CRO outperforms many commonly used strategies for controlling population transition in many practical P2P live streaming systems. This work also shows that CRO also demonstrates the usability of CRO to solve optimization problems. © 2010 IEEE.published_or_final_versionThe IEEE Congress on Evolutionary Computation (CEC), Barcelona, Spain, 18-23 July 2010. In Proceedings of the IEEE CEC, 2010, p. 1-

Business Intelligence for Expeditionary Advanced Base Operations (EABO) Shaping Flexible C2 Organizational Structure

NPS NRP Project Article17 USC 105 interim-entered record; under review.Distributed Marine Operations (DMO) or EABO initiatives require integration the USMC EABO organization into the Navy C2 hierarchy, but there is no consensus on the best EABO CONOPS organizational structure. The magnitude of organizational combinations between organizational elements from Joint Services/Agencies (Navy/USMC, Army, Undersea, Air Force, Space, Cyber, MDA, etc.) is huge. Hard-coded C2 point-to-point organizational structures as inflexible and non-extensible. The objective of this is to identify a flexible Command & Control tool with a model that is capable of flexibly representing a variety of different Joint Force organizations. We propose to apply business intelligence(BI) including such as Tableau, Microsoft power BI, data mining tools such as Orange, network analysis tool such as lexical link analysis (LLA) to address the research questions: Is information on ‘organization’ hierarchy with level details is available from authoritative USMC and Navy sources? What are these sources? How to prevent some critical organizations in the Navy and/or USMC, from being forgotten and excluded from the EABO vision? Will the proposed model be manageable to extend beyond the DoD to Intel and Coalition Partners? We planned three tasks. We will build a network of organizations from the existing tactical units of USMC and Navy C2 related to the operations of DMO or EABO. Each node in the network is an organization, containing the data attributes and content describing the organization’s unit structures, skills, capability, equipment, geolocations, missions performed before, and lessons learned etc. The link between two nodes represents the similarity and dissimilarity in terms of shared skills, capabilities, distance of locations, and past collaborations/interactions. We will use the unit profiles to show how to match the future EBO and DMO operation concepts and requirements, discover gaps that might show the insights for reorganizing and shaping flexible C2 structures. We will apply the proposed tools to build multidimensional cubes, predictive models, and what if analysis. The deliverables include a report a demonstration, and a paper to publish approved by a sponsor.N2/N6 - Information WarfareThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

A Swarm Algorithm for a Self-Structured P2P Information System

Abstract-This paper introduces Antares, a bio-inspired algorithm for the construction of a decentralized and self-organized P2P information system in Computational Grids. This algorithm exploits the properties of ant systems, in which a number of entities/agents perform simple operations at the local level, but together engender an advanced form of "swarm intelligence" at the global level. Here the work of ant-inspired agents is tailored to the controlled replication and relocation of "descriptors", that is, documents that contain metadata information about Grid resources. Agents travel the Grid through P2P interconnections, and replicate and spatially sort descriptors so as to accumulate those represented by identical or similar indexes into neighbor Grid hosts. The resulting information system is here referred to as self-structured, because it exploits the self-organizing characteristics of ant-inspired agents, and the association of descriptors with hosts is not pre-determined but adapts to the varying conditions of the Grid. This self-structured organization combines the benefits of both unstructured and structured P2P information systems. Indeed, being basically unstructured, Antares is easy to maintain in a dynamic Grid, in which joins and departs of hosts can be frequent events. On the other hand, the aggregation and spatial ordering of descriptors can improve the rapidity and effectiveness of discovery operations, which is a beneficial feature typical of structured systems. Performance analysis proves that ant operations allow the information system to be efficiently reorganized thus improving the efficacy of both simple and range queries