Paper Info
Title
Scalable edge cloud platforms for IoT services
Abstract
Nowadays, online applications are moving to the cloud, and for delay-sensitive ones, the cloud is being extended with edge/fog domains. Emerging cloud platforms that tightly integrate compute and network resources enable novel services, such as versatile IoT (Internet of Things), augmented reality or Tactile Internet applications. Virtual infrastructure managers (VIMs), network controllers and upper-level orchestrators are in charge of managing these distributed resources. A key and challenging task of these orchestrators is to find the proper placement for software components of the services. As the basic variant of the related theoretical problem (Virtual Network Embedding) is known to be NP-hard, heuristic solutions and approximations can be addressed. In this paper, we propose two architecture options together with proof-of-concept prototypes and corresponding embedding algorithms, which enable the provisioning of delay-sensitive IoT applications. On the one hand, we extend the VIM itself with network-awareness, typically not available in today's VIMs. On the other hand, we propose a multi-layer orchestration system where an orchestrator is added on top of VIMs and network controllers to integrate different resource domains. We argue that the large-scale performance and feasibility of the proposals can only be evaluated with complete prototypes, including all relevant components. Therefore, we implemented fully-fledged solutions and conducted large-scale experiments to reveal the scalability characteristics of both approaches. We found that our VIM extension can be a valid option for single-provider setups encompassing even 100 edge domains (Points of Presence equipped with multiple servers) and serving a few hundreds of customers. Whereas, our multi-layer orchestration system showed better scaling characteristics in a wider range of scenarios at the cost of a more complex control plane including additional entities and novel APIs (Application Programming Interfaces).
Year
DOI
Venue
2020
10.1016/j.jnca.2020.102785
Journal of Network and Computer Applications
Keywords
DocType
Volume
Edge computing,Resource orchestration,SDN,NFV,IoT
Journal
170
ISSN
Citations 
PageRank 
1084-8045
2
0.37
References 
Authors
3
9
Name
Order
Citations
PageRank
Balázs Sonkoly113722.70
David Haja2134.57
Balázs Németh32818.04
Márk Szalay4115.59
János Czentye5325.65
Róbert Szabó611616.29
Rehmat Ullah7358.78
Byung-Seo Kim831753.12
László Toka95514.49