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CLOUD COMPUTING COST AND ENERGY OPTIMIZATION THROUGH FEDERATED CLOUD SOSThe two most significant differentiators amongst contemporary Cloud Computing service providers have increased green energy use and datacenter resource utilization. This work addresses these two issues from a system's architectural optimization viewpoint. The proposed approach herein, allows multiple cloud providers to utilize their individual computing resources in three ways by:(1) cutting the number of datacenters needed, (2) scheduling available datacenter grid energy via aggregators to reduce costs and power outages, and lastly by (3) utilizing, where appropriate, more renewable and carbon-free energy sources. Altogether our proposed approach creates an alternative paradigm for a Federated Cloud SoS approach. The proposed paradigm employs a novel control methodology that is tuned to obtain both financial and environmental advantages. It also supports dynamic expansion and contraction of computing capabilities for handling sudden variations in service demand as well as for maximizing usage of time varying green energy supplies. Herein we analyze the core SoS requirements, concept synthesis, and functional architecture with an eye on avoiding inadvertent cascading conditions. We suggest a physical architecture that diminishes unwanted outcomes while encouraging desirable results. Finally, in our approach, the constituent cloud services retain their independent ownership, objectives, funding, and sustainability means.This work analyzes the core SoS requirements, concept synthesis, and functional architecture.It suggests a physical structure that simulates the primary SoS emergent behavior to diminish unwanted outcomes while encouraging desirable results. The report will analyze optimal computing generation methods, optimal energy utilization for computing generation as well as a procedure for building optimal datacenters using a unique hardware computing system design based on the openCompute community as an illustrative collaboration platform. Finally, the research concludes with ii security features cloud federation requires to support to protect its constituents, its constituents tenants and itself from security risks.iii ACKNOWLEDGEMENTS

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A federated cloud-based multi-platform Power System is presented to meet the growing challenges confronting power system operators. It uses a federated architecture to provide a group sourced increase in cyber security, in reducing the need for computing resource overcapacity, for sharing computing and power resources during emergencies, for minimizing energy costs, and for sharing information on threats and incident responses. In the face of nation-state and organized crime complex, multi-technology, coordinated attacks, a single organization stands an ever reducing chance of remaining safe. The proposed federated cloud preserves the economic efficiency advantages of marketplace of non-monopolistic organizations innovating to obtain competitive advantage with shared preparation, resources, information, and resiliency enabled by individual Power System cloud-based computing creating a federated System. The paper applies earlier advances. This paper combines the results previously published in different publications and applies them to a single paradigmatic example of a power system consisting of a number of individual asset owners. It includes the architecture, model of energy, and resource sharing as well as a novel, self-learning, semantic-less breach detection system for detecting anomalous behavior in resource usage across the power system participants. The paper extends previous work published about federated cloud. The simulations results provided to demonstrate the usefulness of the proposed system.

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