Supporting Low-Latency Applications through Hybrid Cost-Optimised Cloudlet Placement

Low-latency applications such as augmented reality, cognitive assistance, and context-aware computation are better supported by augmenting cloud networks with cloudlet enabled edge computing solution. This overcomes the high-transmission latency arising from the edge devices in the access segment to...

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Vydáno v:Proceedings / International Conference on Transparent Optical Networks s. 1 - 4
Hlavní autoři: Mondal, Sourav, Das, Goutam, Wong, Elaine
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.07.2018
Témata:
Cloud computing
cloudlets
cost-optimization
Integrated optics
low-latency
non-linear mixed-integer programming
Optical network units
passive optical access network
Sociology
Statistics
Tactile Internet
Task analysis
ISSN:2161-2064
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Popis
Shrnutí:Low-latency applications such as augmented reality, cognitive assistance, and context-aware computation are better supported by augmenting cloud networks with cloudlet enabled edge computing solution. This overcomes the high-transmission latency arising from the edge devices in the access segment to cloud servers located in the core. In this talk, we will review our recently proposed hybrid cost-optimization framework for optimal cloudlet placement over existing passive optical access networks, subject to capacity and latency constraints. In our work, we formulate a mixed-integer non-linear program to identify ideal locations (either at the central office (CO), remote node (RN), or in the field) for cloudlet placement over three deployment areas of differing population densities. Our results point to the fact that the installation of more RN and CO-located cloudlets will yield an improved cost optimal solution than the installation of field cloudlets alone, and that the percentage of the incremental energy budget arising from the installation of cloudlets are low.
ISSN:2161-2064
DOI:10.1109/ICTON.2018.8473911