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Séminaire LRT - Prof. Boutaba
Séminaire LRT - Prof. Boutaba
3-juil.-2018 15:30
Il y a: 17 days

Prof. Boutaba, University of Waterloo (Canada)

The “Cloud” to “Things” Continuum

Room 5257 (ESIEE-Paris)

Back in 2011, we introduced the concept of a multi-tier cloud as part of the “Smart Applications on Virtualized Infrastructure (SAVI)” NSERC Strategic Network Project. SAVI extends the traditional cloud computing environment into a two-tier cloud including smart edges – small to moderate size data centers located close to the end-users (e.g., service provider premises), and massive scale data centers with abundant high-performance computing resources typically located in remote areas. We designed the smart edge as a converged infrastructure that uses virtualization, cloud computing and network softwarization principles to support multiple network protocols, customizable network services, and high-bandwidth low latency applications. Since then the concept of a multi-tier cloud has been widely adopted by telecom operators and in initiatives such as the Mobile Edge Computing (MEC). In the meantime, the advent of the Internet of Things (IoT) has seen an explosive growth in the number of connected devices generating a large variety of data in high volumes at high velocities. The unique set of requirements posed by the IoT data demands innovation in the information infrastructure with the objective of minimizing latency and conserving bandwidth resources. The multi-tier cloud computing model proposed in SAVI falls short in addressing the needs of the IoT applications, since, most voluminous, heterogeneous and short-lived data will have to be processed and analyzed closer to IoT devices generating the data. Therefore, it is imperative that the future information infrastructure should incorporate more tiers (e.g., IoT gateways, customer premise equipments) into the multi-tier cloud to enable true at-scale end-to-end application orchestration. In this talk, we will discuss the research challenges in realizing the future information infrastructure that should be massively distributed to achieve scalability; highly interoperable for seamless interaction between different enabling technologies; highly flexible for collecting, fusing, mining, and processing IoT data; and easily programmable for service orchestration and application-enablement.

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