Integration of edge computing with cloud computing

Mittal, Saksham; Negi, Neelam; Chauhan, Rahul

doi:10.1109/icetcct.2017.8280340

Cited by 9 publications

(2 citation statements)

References 9 publications

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“…As a further step, CC can be combined with EC, described as data processing at the network's edge before sending the processed data to the cloud. Integrating EC and CC has many advantages, including decreased reaction time, enhanced processing efficiency broader connection of several devices [60].…”

Section: G For Cloud Computing and Edge Computingmentioning

confidence: 99%

5G supporting digital servitization in manufacturing: An exploratory survey

Cimini,

Lagorio,

Pinto

et al. 2023

IET Collab Intel Manufact

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Digital servitization is a business model transformation process enabled by the use of digital technologies to create or improve industrial services and product‐service offerings by creating value and competitive advantage increasing customer satisfaction and loyalty as well as company revenue streams. 5G networks can enable digital servitization of manufacturing by providing faster, more secure, and more reliable communications between machines, devices, and humans. This paper explores the impact of adopting 5G technologies on servitization and identifies the services that can benefit most from 5G networks. The research consists of two parts: a literature review of the technologies currently used in the design and provision of industrial services that could benefit from 5G networks and an exploratory survey involving manufacturing companies that have started the digital servitization journey. The main results emerging from the research suggest that 5G can profoundly impact services supported by Augmented Reality, Cloud computing, and Cyber‐physical systems, mainly concerning maintenance, workforce training, machine diagnosis and monitoring.

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Section: G For Cloud Computing and Edge Computingmentioning

confidence: 99%

5G supporting digital servitization in manufacturing: An exploratory survey

Cimini,

Lagorio,

Pinto

et al. 2023

IET Collab Intel Manufact

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“…This decreases the delay in resolving requests and helps a subset of requests to be handled in real-time. Based on the high availability and geo-distributed design, edge devices often facilitate versatility [49]. The primary aim of edge computing is to carry out the operation closer to data sources.…”

Section: Edge Computingmentioning

confidence: 99%

Fog Computing Advancement: Concept, Architecture, Applications, Advantages, and Open Issues

et al. 2021

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Internet of Things (IoT) is proliferating in our real world, and it is a promising technology that serves a very comfortable service to the users. IoT's underlying technology is to connect to central Cloud Computing (CC), which is a huge data center collecting the generated data by IoT devices, and it is located in different areas on demand. However, cloud computing lacks data transmission because of the infrastructure and limitations of networks which enormously decrease its performance. Therefore, a new paradigm has been founded to act as a middleware between the Cloud and IoT, termed Fog Computing (FC) Technology. Considering Fog as a cloud extension that provides computing service at the edge of the network, Fog Computing placement enables this technology to deal with numerous data locally. In this study, we surveyed Fog computing with in-depth analysis and covered the latest studies to address and overcome the existing challenges in FC. We reviewed fog computing technology conceptually and defined it based on the existing studies in the literature, together with its architecture, applications, advantages, and open issues with optimization methods being performed to obtain the optimal services. INDEX TERMS Fog Computing Applications, Fog Computing Concept, Fog Computing Open Issues, Cloud computing, Internet of Things (IoT).

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