Topic
Cloud computing
About: Cloud computing is a research topic. Over the lifetime, 156433 publications have been published within this topic receiving 1963602 citations. The topic is also known as: cloud platform & cloud.
Papers published on a yearly basis
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Papers
TL;DR: This work shows the evolution of modern computing paradigms and related research interest, and extensively addresses Fog computing, remarking its outstanding role as the glue between IoT, Cloud, Edge, and Edge computing.
Abstract: In the last few years, Internet of Things, Cloud computing, Edge computing, and Fog computing have gained a lot of attention in both industry and academia. However, a clear and neat definition of these computing paradigms and their correlation is hard to find in the literature. This makes it difficult for researchers new to this area to get a concrete picture of these paradigms. This work tackles this deficiency, representing a helpful resource for those who will start next. First, we show the evolution of modern computing paradigms and related research interest. Then, we address each paradigm, neatly delineating its key points and its relation with the others. Thereafter, we extensively address Fog computing, remarking its outstanding role as the glue between IoT, Cloud, and Edge computing. In the end, we briefly present open challenges and future research directions for IoT, Cloud, Edge, and Fog computing.
340 citations
TL;DR: The historical development of prognosis theories and techniques and their future growth enabled by the emerging cloud infrastructure are reviewed and techniques for cloud computing are highlighted.
340 citations
TL;DR: A four-process structure is proposed to describe the typical scenario in cloud manufacturing, hoping to provide a theoretical reference for practical applications and the key characteristics of cloud manufacturing are presented in order to clarify the cloud manufacturing concept.
Abstract: Cloud manufacturing is emerging as a new manufacturing paradigm as well as an integrated technology, which is promising in transforming today’s manufacturing industry towards service-oriented, highly collaborative and innovative manufacturing in the future. In order to better understand cloud manufacturing, this paper provides a critical review of relevant concepts and ideas in cloud computing as well as advanced manufacturing technologies that contribute to the evolution of cloud manufacturing. The key characteristics of cloud manufacturing are also presented in order to clarify the cloud manufacturing concept. Furthermore, a four-process structure is proposed to describe the typical scenario in cloud manufacturing, hoping to provide a theoretical reference for practical applications. Finally, an application case of a private cloud manufacturing system for a conglomerate is presented.
340 citations
10 Apr 2011
TL;DR: This paper presents DEPSKY, a system that improves the availability, integrity and confidentiality of information stored in the cloud through the encryption, encoding and replication of the data on diverse clouds that form a cloud-of-clouds.
Abstract: The increasing popularity of cloud storage services has lead companies that handle critical data to think about using these services for their storage needs. Medical record databases, power system historical information and financial data are some examples of critical data that could be moved to the cloud. However, the reliability and security of data stored in the cloud still remain major concerns. In this paper we present DEPSKY, a system that improves the availability, integrity and confidentiality of information stored in the cloud through the encryption, encoding and replication of the data on diverse clouds that form a cloud-of-clouds. We deployed our system using four commercial clouds and used PlanetLab to run clients accessing the service from different countries. We observed that our protocols improved the perceived availability and, in most cases, the access latency when compared with cloud providers individually. Moreover, the monetary costs of using DEPSKY on this scenario is twice the cost of using a single cloud, which is optimal and seems to be a reasonable cost, given the benefits.
340 citations
TL;DR: A system model and dynamic schedules of data/control-constrained computing tasks are investigated, including the execution time and energy consumption for mobile devices, and NSGA-III (non-dominated sorting genetic algorithm III) is employed to address the multi-objective optimization problem of task offloading in cloud-edge computing.
339 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2026 | 91 |
| 2025 | 9,873 |
| 2024 | 13,154 |
| 2023 | 16,155 |
| 2022 | 25,943 |
| 2021 | 12,056 |