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Pareto-optimised Fog Storage Services with novel Service-Level Agreement specification
ID
Kochovski, Petar
(
Author
),
ID
Paščinski, Uroš
(
Author
),
ID
Stankovski, Vlado
(
Author
),
ID
Ciglarič, Mojca
(
Author
)
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MD5: 351E12AAD9E4FA76EDE1FE377F0F3286
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https://www.mdpi.com/2076-3417/12/7/3308
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Abstract
(1) Background: Cloud storage is often required for successful operation of novel smart applications, relying on data produced by the Internet of Things (IoT) devices. Big Data processing tasks and management operations for such applications require high Quality of Service (QoS) guarantees, requiring an Edge/Fog computing approach. Additionally, users often require specific guarantees in the form of Service Level Agreements (SLAs) for storage services. To address these problems, we propose QoS-enabled Fog Storage Services, implemented as containerised storage services, orchestrated across the Things-to-Cloud computing continuum. (2) Method: The placement of containerised data storage services in the Things-to-Cloud continuum is dynamically decided using a novel Pareto-based decision-making process based on high availability, high throughput, and other QoS demands of the user. The proposed concept is first confirmed via simulation and then tested in a real-world environment. (3) Results: The decision-making mechanism and a novel SLA specification have been successfully implemented and integrated in the DECENTER Fog and Brokerage Platform to complement the orchestration services for storage containers, thus presenting their applicable value. Simulation results as well as practical experimentation in a Europe-wide testbed have shown that the proposed decision-making method can deliver a set of optimal storage nodes, thus meeting the SLA requirements. (4) Conclusion: It is possible to provide new smart applications with the expected SLA guarantees and high QoS for our proposed Fog Storage Services.
Language:
English
Keywords:
Fog Storage Services
,
Quality of Service
,
Service Level Agreement specification
,
decision making
,
Pareto
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FRI - Faculty of Computer and Information Science
Publication status:
Published
Publication version:
Version of Record
Year:
2022
Number of pages:
19 str.
Numbering:
Vol. 12, iss. 7, art. 3308
PID:
20.500.12556/RUL-137509
UDC:
004.7
ISSN on article:
2076-3417
DOI:
10.3390/app12073308
COBISS.SI-ID:
102526979
Publication date in RUL:
20.06.2022
Views:
1040
Downloads:
130
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Record is a part of a journal
Title:
Applied sciences
Shortened title:
Appl. sci.
Publisher:
MDPI
ISSN:
2076-3417
COBISS.SI-ID:
522979353
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:
01.04.2022
Secondary language
Language:
Slovenian
Keywords:
računalništvo v megli
,
kakovost storitev
,
SLA specifikacija
,
Pareto
Projects
Funder:
EC - European Commission
Funding programme:
H2020
Project number:
815141
Name:
Decentralised technologies for orchestrated cloud-to-edge intelligence
Acronym:
DECENTER
Funder:
EC - European Commission
Funding programme:
H2020
Project number:
957338
Name:
Trusted, traceable and transparent ontological knowledge on blockchain
Acronym:
ONTOCHAIN
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