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Open Access
A Network Design Scheme in Delay Sensitive Monitoring Services

Akio KAWABATA, Takuya TOJO, Bijoy CHAND CHATTERJEE, Eiji OKI

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Summary :

Mission-critical monitoring services, such as finding criminals with a monitoring camera, require rapid detection of newly updated data, where suppressing delay is desirable. Taking this direction, this paper proposes a network design scheme to minimize this delay for monitoring services that consist of Internet-of-Things (IoT) devices located at terminal endpoints (TEs), databases (DB), and applications (APLs). The proposed scheme determines the allocation of DB and APLs and the selection of the server to which TE belongs. DB and APL are allocated on an optimal server from multiple servers in the network. We formulate the proposed network design scheme as an integer linear programming problem. The delay reduction effect of the proposed scheme is evaluated under two network topologies and a monitoring camera system network. In the two network topologies, the delays of the proposed scheme are 78 and 80 percent, compared to that of the conventional scheme. In the monitoring camera system network, the delay of the proposed scheme is 77 percent compared to that of the conventional scheme. These results indicate that the proposed scheme reduces the delay compared to the conventional scheme where APLs are located near TEs. The computation time of the proposed scheme is acceptable for the design phase before the service is launched. The proposed scheme can contribute to a network design that detects newly added objects quickly in the monitoring services.

Publication
IEICE TRANSACTIONS on Communications Vol.E106-B No.10 pp.903-914
Publication Date
2023/10/01
Publicized
2023/04/19
Online ISSN
1745-1345
DOI
10.1587/transcom.2023EBP3010
Type of Manuscript
PAPER
Category
Network Management/Operation

Authors

Akio KAWABATA
  Toyohashi University of Technology
Takuya TOJO
  NTT Network Service Systems Laboratories
Bijoy CHAND CHATTERJEE
  South Asian University
Eiji OKI
  Kyoto University

Keyword