Survey on the Cloud-IoT paradigms: Taxonomy and architectures

Redha, Bouakouk, Mohamed; Abdelli, Abdelkrim; Mokdad, Lynda

doi:10.1109/iscc50000.2020.9219638

Cited by 13 publications

(5 citation statements)

References 13 publications

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“…Another sign of the importance of the multi-cloud paradigm for the software industry is the appearance of new standards, and industrial frameworks, which aim to set up the multi-cloud concept and practices. As an example, the ISO/IEC JTC 1/SC "Cloud Computing and Distributed Platforms", 1 which is still under development as of 2022, provides an overview and sets out the foundational concepts for cloud computing involving multiple CSPs. Again, this draft identifies several benefits for the industry when adopting multi cloud-based solutions.…”

Section: Multi Cloud Native Applicationsmentioning

confidence: 99%

“…The Cloud Computing evolution in the last decade and its transformation into a service utility has promoted a wide adoption by the industry of applications to store and process data. With the expansion of the IoT paradigm [1], the need of computational and storage services is expected to grow in coming years, complemented by the amount of data generated at the edge of the network. The centralized nature of the traditional cloud services, that has been mainly used for replication or business continuity, is not valid anymore [2].…”

Section: Introductionmentioning

confidence: 99%

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Understanding the challenges and novel architectural models of multi-cloud native applications – a systematic literature review

et al. 2023

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The evolution of Cloud Computing into a service utility, along with the pervasive adoption of the IoT paradigm, has promoted a significant growth in the need of computational and storage services. The traditional use of cloud services, focused on the consumption of one provider, is not valid anymore due to different shortcomings being the risk of vendor lock-in a critical. We are assisting to a change of paradigm, from the usage of a single cloud provider to the combination of multiple cloud service types, affecting the way in which applications are designed, developed, deployed and operated over such heterogeneous ecosystems. The result is an effective heterogeneity of architectures, methods, tools, and frameworks, copying with the multi-cloud application concept. The goal of this study is manifold. Firstly, it aims to characterize the multi-cloud concept from the application development perspective by reviewing existing definitions of multi-cloud native applications in the literature. Secondly, we set up the basis for the architectural characterization of these kind of applications. Finally, we highlight several open research issues drawn up from the analysis carried out. To achieve that, we have conducted a systematic literature review (SLR), where, a large set of primary studies published between 2011 and 2021 have been studied and classified. The in-depth analysis has revealed five main research trends for the improvement of the development and operation DevOps lifecycle of “multi-cloud native applications”. The paper finishes with directions for future work and research challenges to be addressed by the software community.

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Section: Multi Cloud Native Applicationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Understanding the challenges and novel architectural models of multi-cloud native applications – a systematic literature review

et al. 2023

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“…Without a joint orchestration solution, these software instances will always remain active and consume the infrastructure resources, impacting on the overall energy consumption. In this context, centralized edge/cloud computing platforms and mobile networks act as enablers in creating distributed robotic systems [32]. At the same time, decentralized architectures such as fog computing are also being considered, as to achieve a more scalable, efficient and effective robot resource management [33].…”

Section: Orosmentioning

confidence: 99%

OROS: Online Operation and Orchestration of Collaborative Robots Using 5G

Romero,

Delgado,

Zanzi

et al. 2023

IEEE Trans. Netw. Serv. Manage.

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The 5G mobile networks extend the capability for supporting collaborative robot operations in outdoor scenarios. However, the restricted battery life of robots still poses a major obstacle to their effective implementation and utilization in real scenarios. One of the most challenging situations is the execution of mission-critical tasks that require the use of various onboard sensors to perform simultaneous localization and mapping (SLAM) of unexplored environments. Given the time-sensitive nature of these tasks, completing them in the shortest possible time is of the highest importance. In this paper, we analyze the benefits of 5G-enabled collaborative robots by enhancing the intelligence of the robot operation through joint orchestration of Robot Operating System (ROS) and 5G resources for energysaving goals, addressing the problem from both offline and online manners. We propose OROS, a novel orchestration approach that minimizes mission-critical task completion times as well as overall energy consumption of 5G-connected robots by jointly optimizing robotic navigation and sensing together with infrastructure resources. We validate our 5G-enabled collaborative framework by means of Matlab/Simulink, ROS software and Gazebo simulator. Our results show an improvement between 3.65% and 11.98% in exploration task by exploiting 5G orchestration features for battery savings when using 3 robots.

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“…These platforms enable, Collect and visualize data from devices and assets., Collect and visualize data from devices and assets. Analyze incoming telemetry and trigger alarms with complex event processing, control the devices using remote procedure calls (RPC), and design dynamic and responsive dashboards [23][24][25].…”

Section: Iot Cloudmentioning

confidence: 99%

NB-IoT based Status Measurement System for 33kV Power Distribution Networks in Smart Grids

Maduranga¹,

Wijerathna²

2022

IJEM

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In the recent decade, there has been a lot of focus on developing intelligent systems and appliances to suit the century's needs and make life easier. During the same period, the electric power industry introduced Smart-Grid, a crucial innovation to meet today's electric supply-demand and effectively use electric resources. The smart grid is an aspect of the electricity industry's evolution and reformation. An electrical power grid is a complex system consisting of generation, transmission, distribution, storage, and utilization. Coordinating these systems further increases the complexity of this interconnection of systems. The existing power distribution system available in the industry consists of monitoring equipment such as Supervisory Control and Data Acquisition(SCADA) to monitor some network parts. However, there's no automated way of monitoring power outages or load current flow in some sub-sections of the distribution line. Physical inspection is not convenient as it's more time-consuming.Moreover, these sub-sections may have up to ten distribution transformers or even could be more. In this work, A novel IoT-based power line monitoring system has been introduced to overcome those issues. Narrow Band Internet of Things(NB-IoT) is used in this system as the primary wireless technology. A current sensor measures electrical line currents, and sensor values are pushed to a remote IoT cloud. Implemented system tested in several 33kV power lines and result and performances of the system is presented.

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Survey on the Cloud-IoT paradigms: Taxonomy and architectures

Cited by 13 publications

References 13 publications

Understanding the challenges and novel architectural models of multi-cloud native applications – a systematic literature review

Understanding the challenges and novel architectural models of multi-cloud native applications – a systematic literature review

OROS: Online Operation and Orchestration of Collaborative Robots Using 5G

NB-IoT based Status Measurement System for 33kV Power Distribution Networks in Smart Grids

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