TY - GEN
T1 - Toward a Container Migration Data-Auditing Mechanism for Edge Computing Environment
AU - Uchibayashi, Toshihiro
AU - Apduhan, Bernady
AU - Suganuma, Takuo
AU - Hiji, Masahiro
N1 - Funding Information:
This work was supported by JSPS KAKENHI Grant Number JP20K19778.
Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - With the widespread use of IoT sensors and devices, it has become common to store data in the cloud. The huge and various types of data with different purposes and forms are not directly stored in the cloud but are sent to the cloud via edge computing devices. Applications are running in containers and VMs to collect data from edge computing devices and sent to the cloud. However, the current deployment and migration mechanisms for containers and VMs does not consider the conventions and regulations of the applications and data they contain. The problem is that it is easy to deploy or migrate a container and VM even if the edge computing device to which it is deployed or migrated violates the licensing terms of the application it contains, the terms of the organization, or the laws and regulations of the country in which it is located. We previously proposed a data-auditing migration control mechanism for VMs. The same problem was expected with containers as the number of edges increased. Therefore, this paper proposed a data-auditing mechanism for container migration. Implementation and evaluation of the proposed system in an edge computing environment showed that adding the proposed mechanism has minimal impact on migration time and is sufficiently practical.
AB - With the widespread use of IoT sensors and devices, it has become common to store data in the cloud. The huge and various types of data with different purposes and forms are not directly stored in the cloud but are sent to the cloud via edge computing devices. Applications are running in containers and VMs to collect data from edge computing devices and sent to the cloud. However, the current deployment and migration mechanisms for containers and VMs does not consider the conventions and regulations of the applications and data they contain. The problem is that it is easy to deploy or migrate a container and VM even if the edge computing device to which it is deployed or migrated violates the licensing terms of the application it contains, the terms of the organization, or the laws and regulations of the country in which it is located. We previously proposed a data-auditing migration control mechanism for VMs. The same problem was expected with containers as the number of edges increased. Therefore, this paper proposed a data-auditing mechanism for container migration. Implementation and evaluation of the proposed system in an edge computing environment showed that adding the proposed mechanism has minimal impact on migration time and is sufficiently practical.
KW - Container
KW - Data audit
KW - Edge computing
KW - Migration
KW - Policy
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U2 - 10.1007/978-3-031-10545-6_7
DO - 10.1007/978-3-031-10545-6_7
M3 - Conference contribution
AN - SCOPUS:85135911513
SN - 9783031105449
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 90
EP - 102
BT - Computational Science and Its Applications - ICCSA 2022 Workshops, Proceedings
A2 - Gervasi, Osvaldo
A2 - Murgante, Beniamino
A2 - Misra, Sanjay
A2 - Rocha, Ana Maria A.C.
A2 - Garau, Chiara
PB - Springer Science and Business Media Deutschland GmbH
T2 - 22nd International Conference on Computational Science and Its Applications , ICCSA 2022
Y2 - 4 July 2022 through 7 July 2022
ER -