FogSpot: Spot Pricing for Application Provisioning in Edge/Fog Computing

An increasing number of Low Latency Applications (LLAs) in the entertainment, IoT, and automotive domains require response times that challenge the traditional application provisioning using distant Data Centres. The fog computing paradigm extends cloud computing at the edge and middle-tier location...

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Bibliographic Details
Published in:IEEE transactions on services computing 2021-11, Vol.14 (6), p.1781-1795
Main Authors: Tasiopoulos, Argyrios G., Ascigil, Onur, Psaras, Ioannis, Toumpis, Stavros, Pavlou, George
Format: Article
Language:English
Subjects:
application provisioning
Cloud computing
Data centers
decentralised cloud applications
Economics
Edge computing
Edge/Fog computing
Elasticity
End users
network economics
Pricing
Provisioning
Quality of service
Task analysis
Virtual environments
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Summary:An increasing number of Low Latency Applications (LLAs) in the entertainment, IoT, and automotive domains require response times that challenge the traditional application provisioning using distant Data Centres. The fog computing paradigm extends cloud computing at the edge and middle-tier locations of the network, providing response times an order of magnitude smaller than those that can be achieved by the current "client-to-cloud" network model. Here, we address the challenges of provisioning heavily stateful LLA in the setting where fog infrastructure consists of third-party computing resources, i.e., cloudlets, that come in the form of " data centres in the box ". We introduce FogSpot, a charging mechanism for on-path, on-demand, application provisioning. In FogSpot, cloudlets offer their resources in the form of Virtual Machines (VMs) via markets, collocated with the cloudlets, that interact with forwarded users' application requests for VMs in real time. FogSpot associates each cloudlet with a price based on applications' demand. The proposed mechanism's design takes into account the characteristics of cloudlets' resources, such as their limited elasticity, and LLAs' attributes, like their expected QoS gain and engagement duration. Lastly, FogSpot guarantees the end users' requests truthfulness while focusing in maximising either each cloudlet's revenue or resource utilisation.
ISSN:1939-1374
1939-1374
2372-0204
DOI:10.1109/TSC.2019.2895037