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Dynamic Cloud Service Management for Scalable Internet of Things Applications

Research output: Contribution to conferencePaper

Standard

Dynamic Cloud Service Management for Scalable Internet of Things Applications. / Mavromatis, Alex; Gunner, Sam; Tryfonas, Theo; Simeonidou, Dimitra.

2019. Paper presented at IEEE Smart World Congress and the 3rd IEEE Conference on Smart City Innovations, Leicester, United Kingdom.

Research output: Contribution to conferencePaper

Harvard

Mavromatis, A, Gunner, S, Tryfonas, T & Simeonidou, D 2019, 'Dynamic Cloud Service Management for Scalable Internet of Things Applications' Paper presented at IEEE Smart World Congress and the 3rd IEEE Conference on Smart City Innovations, Leicester, United Kingdom, 19/08/19 - 23/08/19, .

APA

Mavromatis, A., Gunner, S., Tryfonas, T., & Simeonidou, D. (2019). Dynamic Cloud Service Management for Scalable Internet of Things Applications. Paper presented at IEEE Smart World Congress and the 3rd IEEE Conference on Smart City Innovations, Leicester, United Kingdom.

Vancouver

Mavromatis A, Gunner S, Tryfonas T, Simeonidou D. Dynamic Cloud Service Management for Scalable Internet of Things Applications. 2019. Paper presented at IEEE Smart World Congress and the 3rd IEEE Conference on Smart City Innovations, Leicester, United Kingdom.

Author

Mavromatis, Alex ; Gunner, Sam ; Tryfonas, Theo ; Simeonidou, Dimitra. / Dynamic Cloud Service Management for Scalable Internet of Things Applications. Paper presented at IEEE Smart World Congress and the 3rd IEEE Conference on Smart City Innovations, Leicester, United Kingdom.7 p.

Bibtex

@conference{81029199558548158fad3ca88ed2255d,
title = "Dynamic Cloud Service Management for Scalable Internet of Things Applications",
abstract = "The Internet of Things (IoT) is growing rapidlyand official reports suggest that soon it will become one of the key technologies of the Internet infrastructure. Cloud services are already integrated with IoT, providing solutions for a large number of applications. Various Cloud IoT platforms are available for IoT users, both as open source and commercial solutions. One of the important features of a cloud IoT platform is the management of services and the deployment time required to set up a platform dedicated to a specific IoT use case. This paper presents a cloud IoT platform deployment mechanism that aims to improve the deployment time between an IoT network and a cloud IoT platform. The approach is based on a platform descriptor which describes the IoT application requirements. Therefore, software-based functionalities automate the provisioning of the platform to accommodate scalability in cloud IoT applications. The experimentation and evaluation of the proposed mechanism is conducted over a real data-center laboratory. We are comparing our mechanism with a Unix bash shell scripting deployment method and the results achieve over 50{\%} improvement in both platform deployment time, as well as the time required to update the platform.",
keywords = "IoT, Cloud, Scalability",
author = "Alex Mavromatis and Sam Gunner and Theo Tryfonas and Dimitra Simeonidou",
year = "2019",
month = "8",
day = "23",
language = "English",
note = "IEEE Smart World Congress and the 3rd IEEE Conference on Smart City Innovations : 1st International Workshop on Personalisation and Decision Support for Citizen Service Enhancement at Scale - IEEE Smart-PDS 2019, IEEE SCI 2019 ; Conference date: 19-08-2019 Through 23-08-2019",
url = "https://smart-pds.github.io/",

}

RIS - suitable for import to EndNote

TY - CONF

T1 - Dynamic Cloud Service Management for Scalable Internet of Things Applications

AU - Mavromatis, Alex

AU - Gunner, Sam

AU - Tryfonas, Theo

AU - Simeonidou, Dimitra

PY - 2019/8/23

Y1 - 2019/8/23

N2 - The Internet of Things (IoT) is growing rapidlyand official reports suggest that soon it will become one of the key technologies of the Internet infrastructure. Cloud services are already integrated with IoT, providing solutions for a large number of applications. Various Cloud IoT platforms are available for IoT users, both as open source and commercial solutions. One of the important features of a cloud IoT platform is the management of services and the deployment time required to set up a platform dedicated to a specific IoT use case. This paper presents a cloud IoT platform deployment mechanism that aims to improve the deployment time between an IoT network and a cloud IoT platform. The approach is based on a platform descriptor which describes the IoT application requirements. Therefore, software-based functionalities automate the provisioning of the platform to accommodate scalability in cloud IoT applications. The experimentation and evaluation of the proposed mechanism is conducted over a real data-center laboratory. We are comparing our mechanism with a Unix bash shell scripting deployment method and the results achieve over 50% improvement in both platform deployment time, as well as the time required to update the platform.

AB - The Internet of Things (IoT) is growing rapidlyand official reports suggest that soon it will become one of the key technologies of the Internet infrastructure. Cloud services are already integrated with IoT, providing solutions for a large number of applications. Various Cloud IoT platforms are available for IoT users, both as open source and commercial solutions. One of the important features of a cloud IoT platform is the management of services and the deployment time required to set up a platform dedicated to a specific IoT use case. This paper presents a cloud IoT platform deployment mechanism that aims to improve the deployment time between an IoT network and a cloud IoT platform. The approach is based on a platform descriptor which describes the IoT application requirements. Therefore, software-based functionalities automate the provisioning of the platform to accommodate scalability in cloud IoT applications. The experimentation and evaluation of the proposed mechanism is conducted over a real data-center laboratory. We are comparing our mechanism with a Unix bash shell scripting deployment method and the results achieve over 50% improvement in both platform deployment time, as well as the time required to update the platform.

KW - IoT

KW - Cloud

KW - Scalability

M3 - Paper

ER -