Containers vs Virtual Machines: Choosing the Right Virtualization Technology for Mobile Edge Cloud

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Abstract

Mobile Edge Cloud (MEC) is paving the way for 5G networks with respect to latency and computation offloading. To support user mobility, a MEC application should be migrated from one MEC server to another MEC server, which is in close proximity to users. Providing low migration time and low downtime is one of the critical challenges in MEC. Prior studies mainly focused on the service migration in data centers where only the downtime is taken into account. Meanwhile, the total migration time in MEC significantly influences the service latency due to the user's mobility. In this paper, we present a comparative measurement study on service migration in MEC. The evaluation results, which are obtained from commercial edge servers, show the infeasibility of the investigated migration approaches. Even though containerization is undoubtedly a lightweight virtualization technology, it is not mature enough to support the service migration in MEC. Specifically, both VM migration and container migration introduce high migration time, and subsequently result in service degradation for latency-sensitive applications in MEC.

Details

OriginalspracheEnglisch
Titel2019 IEEE 2nd 5G World Forum (5GWF)
Herausgeber (Verlag)IEEE Computational Intelligence Society (CIS)
Seiten46-52
Seitenumfang7
ISBN (elektronisch)978-1-7281-3627-1
ISBN (Print)978-1-7281-3628-8
PublikationsstatusVeröffentlicht - 2 Okt. 2019
Peer-Review-StatusJa

Konferenz

Titel2019 IEEE 2nd 5G World Forum
Kurztitel5GWF 2019
Veranstaltungsnummer2
Dauer30 September - 2 Oktober 2019
Webseite
OrtInternational Congress Center Dresden
StadtDresden
LandDeutschland

Externe IDs

Scopus 85076818945
Ieee 10.1109/5GWF.2019.8911715
ORCID /0000-0001-7008-1537/work/142248627
ORCID /0000-0001-8469-9573/work/161890991

Schlagworte

Schlagwörter

  • Servers, Containers, Memory management, Cloud computing, Data centers, Virtual machining, Switches