Abstract

Major interest is currently given to the integration of clusters of virtualization servers, also referred to as ‘cloudlets’ or ‘edge clouds’, into the access network to allow higher performance and reliability in the access to mobile edge computing services. We tackle the edge cloud network design problem for mobile access networks. The model is such that the virtual machines (VMs) are associated with mobile users and are allocated to cloudlets. Designing an edge cloud network implies first determining where to install cloudlet facilities among the available sites, then assigning sets of access points, such as base stations to cloudlets, while supporting VM orchestration and considering partial user mobility information, as well as the satisfaction of service-level agreements. We present link-path formulations supported by heuristics to compute solutions in reasonable time. We qualify the advantage in considering mobility for both users and VMs as up to 20% less users not satisfied in their SLA with a little increase of opened facilities. We compare two VM mobility modes, bulk and live migration, as a function of mobile cloud service requirements, determining that a high preference should be given to live migration, while bulk migrations seem to be a feasible alternative on delay-stringent tiny-disk services, such as augmented reality support, and only with further relaxation on network constraints.

Highlights

  • M OBILE devices are ubiquitous in people’s everyday life, with a remarkable growth of mobile data traffic over recent years [2]

  • A cloudlet represents a container for virtual machines (VMs): connected users are associated with VMs supporting low-latency application offloading use-cases

  • In [1] we provide a preliminary modeling of the mobile edge cloud network design problem

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Summary

INTRODUCTION

M OBILE devices are ubiquitous in people’s everyday life, with a remarkable growth of mobile data traffic over recent years [2]. A preliminary version of the content of this paper is presented in [1] Within this framework, in this paper we focus on the potential medium-term planning of an edge cloud network in mobile access networks, which is, to the best of our knowledge, an untreated problem in the literature. In this paper we focus on the potential medium-term planning of an edge cloud network in mobile access networks, which is, to the best of our knowledge, an untreated problem in the literature This consists in the placement of all virtualization infrastructure resources, from the access points to the cloudlets, together with the assignment of users to cloudlets. An actual implementation of such a system is out of scope of this work, but examples are already present (e.g. in OpenStack platform [21], [22])

BACKGROUND
VM mobility technologies
Mobile Edge Cloud Network Topology
MOBILE EDGE CLOUD NETWORK MODEL
Problem statement
Network design
Static Planning
HEURISTIC ALGORITHM
DATASET
EXPERIMENTAL RESULTS
Analysis of Static Planning solutions
Analysis of Dynamic Planning solutions
CONCLUSION
Full Text
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