Evaluation of virtualized osmotic cloud network using discrete event Branch-and-Bound heuristics

Okafor, K. C.; Ugwoke, F. N.; Obayi, A. A.

doi:10.1109/nigercon.2017.8281912

Cited by 1 publication

(1 citation statement)

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“…The proposed approach was validated with experimental setups considering fixed and variable loads. Okafor et al (P4) [36] proposed fog and server consolidation for supporting multi-constrained datacenter environments. A discrete event simulation heuristic was used to evaluate osmotic cloud network for smart grid applications.…”

Section: Miscellaneousmentioning

confidence: 99%

A Systematic Review on Osmotic Computing

Neha

Panda

Sahu

et al. 2022

ACM Trans. Internet Things

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Osmotic computing in association with related computing paradigms (cloud, fog, and edge) emerges as a promising solution for handling bulk of security-critical as well as latency-sensitive data generated by the digital devices. It is a growing research domain that studies deployment, migration, and optimization of applications in the form of microservices across cloud/edge infrastructure. It presents dynamically tailored microservices in technology-centric environments by exploiting edge and cloud platforms. Osmotic computing promotes digital transformation and furnishes benefits to transportation, smart cities, education, and healthcare. In this article, we present a comprehensive analysis of osmotic computing through a systematic literature review approach. To ensure high-quality review, we conduct an advanced search on numerous digital libraries to extracting related studies. The advanced search strategy identifies 99 studies, from which 29 relevant studies are selected for a thorough review. We present a summary of applications in osmotic computing build on their key features. On the basis of the observations, we outline the research challenges for the applications in this research field. Finally, we discuss the security issues resolved and unresolved in osmotic computing.

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Section: Miscellaneousmentioning

confidence: 99%