20.500.12556/RUL-137509 Pareto-optimised Fog Storage Services with novel Service-Level Agreement specification (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. Fog Storage Services Quality of Service Service Level Agreement specification decision making Pareto računalništvo v megli kakovost storitev SLA specifikacija Pareto true false true Angleški jezik Slovenski jezik Članek v reviji 2022-06-20 08:57:32 2022-06-20 08:57:33 2022-09-15 04:15:18 0000-00-00 00:00:00 2022 0 0 19 str. iss. 7, art. 3308 Vol. 12 Apr. 2022 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.7 2076-3417 10.3390/app12073308 102526979 applsci-12-03308-v2.pdf applsci-12-03308-v2.pdf 1 351E12AAD9E4FA76EDE1FE377F0F3286 4d1901b338d68951e9bbf9f76ea2d2e72c76b419f88f1cd2347e046ec8562b7a 5329f974-f066-11ec-8aca-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=157473 https://www.mdpi.com/2076-3417/12/7/3308 1 13427bdb-f066-11ec-8aca-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=157472 Fakulteta za računalništvo in informatiko 0 0 0