Robust control in cloud assisted peer to peer live streaming systems

Efthymiopoulou, Maria; Efthymiopoulos, Nikolaos; Deltouzos, Konstantinos; Christakidis, Athanasios

doi:10.1016/j.pmcj.2017.06.005

Cited by 1 publication

(2 citation statements)

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“…To address the QoS problem, some studies have focused on the design of cloud‐based orchestration systems that provide the intelligent delivery of CI‐based applications across multiple cloud providers, such as a file uploading and a video conferencing application 25 . Efthymiopoulou et al 26 have proposed a live video‐streaming architecture with a focus on dynamic resource allocation of the infrastructure. This application does not consider geolocation‐based deployment of the software services to improve connectivity, such as latency or bandwidth.…”

Section: Related Workmentioning

confidence: 99%

“…To address the QoS problem, some studies have focused on the design of cloud-based orchestration systems that provide the intelligent delivery of CI-based applications across multiple cloud providers, such as a file uploading and a video conferencing application. 25 Efthymiopoulou et al 26 geolocation-based deployment of the software services to improve connectivity, such as latency or bandwidth. An adaptive routing approach, as proposed by Al-Turjman, 27 has also been proposed for cost-effective video streaming.…”

Section: Related Workmentioning

confidence: 99%

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Multi‐party smart contract for an AI services ecosystem: An application to smart construction

Gec

Kochovski

Lavbič

et al. 2022

Concurrency and Computation

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Various smart applications, such as in the domain of smart construction, require the use of artificial intelligence (AI) based services. In order to support such environments, various AI/knowledge service provider and consumer ecosystems have started to emerge.Within such ecosystems, the goals are to improve the quality, reliability, dependability in terms of governance and trust in the data which is exchanged among the various actors, which must be supported by specific business models. This work introduces a novel multi-party smart contract (SC) that is designed to address the above mentioned goals. Specific service level agreements that illustrate the interactions among the AI service providers and consumers are also presented. The developed multi-party SC supports different pricing schemes, which are analyzed in detail against the goals of the study.

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Section: Related Workmentioning

confidence: 99%