Experiments and Evaluation of a Container Migration Data-Auditing System on Edge Computing Environment

Author:

Uchibayashi Toshihiro1ORCID,Apduhan Bernady2,Suganuma Takuo3ORCID,Hiji Masahiro4ORCID

Affiliation:

1. Research Institute for Information Technology, Kyushu University, Fukuoka 816-8580, Japan

2. Faculty of Information Science, Kyushu Sangyo University, Fukuoka 813-0004, Japan

3. Cyberscience Center, Tohoku University, Sendai 980-8577, Japan

4. Faculty of Economics, Tohoku University, Sendai 980-8577, Japan

Abstract

With the proliferation of IoT sensors and devices, storing collected data in the cloud has become common. A wide variety of data with different purposes and forms are not directly stored in the cloud but are sent to the cloud via edge servers. At the edge server, applications are running in containers and virtual machines to collect data. However, the current deployment and movement mechanisms for containers and virtual machines do not consider any conventions or regulations for the applications and the data it contains. Therefore, it is easy to deploy and migrate containers and virtual machines. However, the problem arises when it is deployed or migrated, which may violate the licensing terms of the contained applications, the rules of the organization, or the laws and regulations of the concerned country. We have already proposed a data-audit control mechanism for the migration of virtual machines. The proposed mechanism successfully controls the unintentional and malicious migration of virtual machines. We expect similar problems with containers to occur as the number of edge servers increases. Therefore, we propose a policy-based data-audit control system for container migration. The proposed system was verified in the implemented edge computing environment and the results showed that adding the proposed data-audit control mechanism had a minimal impact on migration time and that the system was practical enough. In the future, we intend to conduct verification not in a very compact and short-range environment such as this one but on an existing wide-area network.

Funder

Kaken Pharmaceutical

Publisher

MDPI AG

Subject

Computer Networks and Communications,Human-Computer Interaction

Reference33 articles.

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3. Dhananjay, S., Tripathi, G., and Jara, A.J. (2014, January 6–8). A survey of Internet-of- Things: Future vision architecture challenges and services. Proceedings of the 2014 IEEE World Forum on Internet of Things (WF-IoT), Seoul, Republic of Korea.

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5. (2022, October 26). Xen Project. Available online: https://xenproject.org/.

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