Federated Cloud computing as System of Systems

Biran, Yahav; Collins, G. J.; Azam, Syed Iqbal; DuBow, J.

doi:10.1109/iccnc.2017.7876217

Cited by 9 publications

(10 citation statements)

References 5 publications

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“…However, balancing time varying green energy utilization with time varying energy demands of cloud computing is a complex task that requires sophisticated command and control prediction algorithms beyond the scope of this paper but are emerging in the form of a smart grid system of systems [10]. Our study shows that green energy utilization for on-demand streaming workload is Benefit from Wind the zero levels indicate on potential benefits.…”

Section: Conclusion For Clean Energy Use In Federated Cloudmentioning

confidence: 84%

“…3.1 was chosen based on previous capacity analysis of multitier cloud application [35,40,86]. The functions applied through both Pivotal.io and Azure.com developer portals 10 . The JMeter loader will measure throughput generated by two types of calls /GET and /PUT.…”

Section: Methodsmentioning

confidence: 99%

“…Cloud Federation is a new paradigm that allows many CSPs to utilize computing resources optimally [11,13]. Also, it allows SP to avoid the Vendor lock-in risk and provide service availability that can not be provided by a single CSP.…”

Section: Malware In Federated Cloudmentioning

confidence: 99%

“…Offline production workloads are usually comprised of mainly unstructured data sets, such as click stream, web graph, and sensors data [11,13].…”

Section: From Workload Semantics To Semantic-lessmentioning

confidence: 99%

“…The time its takes to spawn a Linux-container instance is in the order to forking native OS process as oppose to an order of minutes in hypervisor-based technology. 11 Retrieved from github.com/yahavb/MultiLayerApp …”

Section: Initialization Timementioning

confidence: 99%

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Cloud Computing Cost and Energy Optimization through Federated Cloud SoS

2017

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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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Section: Conclusion For Clean Energy Use In Federated Cloudmentioning

confidence: 84%