Journal Article10.1109/mce.2022.3192132
Distributed Cloud Computing: Architecture, Enabling Technologies, and Open Challenges
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TL;DR: In this paper , a case study on service deployment and discovery in a three-layer distributed cloud prototype and a preliminary assessment of service discovery time is presented, along with open research challenges toward distributed cloud.
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Abstract: Conventional cloud computing, where compute, storage, and networking resources reside in one or a few centralized data centers, has become unable to meet the stringent latency requirements of new applications. Along with that, the rapid development of 5G network introduces the trend of network cloudification and network service provisioning according to cloud service models. Therefore, the emerging distributed cloud model represents an evolution from conventional centralized cloud into geographically dispersed cloud computing services located as per application needs. In this article, we attempt to sketch a big picture of distributed cloud. We first interpret the concept of distributed cloud computing. Then, we describe an architecture of the distributed cloud along with the enabling technologies. We also carry out a case study on service deployment and discovery in a three-layer distributed cloud prototype and provide a preliminary assessment of service discovery time. Finally, we discuss open research challenges toward distributed cloud.
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References
Bringing Computation Closer toward the User Network: Is Edge Computing the Solution?
Ejaz Ahmed,Arif Ahmed,Ibrar Yaqoob,Junaid Shuja,Abdullah Gani,Muhammad Imran,Muhammad Shoaib +6 more
TL;DR: The significance of edge computing is highlighted by providing real-life scenarios that have strict constraint requirements on application response time by devise a taxonomy to classify the current research efforts in the domain of edge Computing.
207
Towards the Decentralised Cloud: Survey on Approaches and Challenges for Mobile, Ad hoc, and Edge Computing
TL;DR: This article analyses the pre-existing works to determine their role in Decentralised Cloud and future computing development and indicates which models represent a significant breakthrough from a Cloud perspective.
169
Edge Intelligence: Empowering Intelligence to the Edge of Network
Dianlei Xu,Tong Li,Yong Li,Xiang Su,Sasu Tarkoma,Tao Jiang,Jon Crowcroft,Pan Hui +7 more
- 02 Nov 2021
TL;DR: A comprehensive survey of the literature surrounding edge intelligence can be found in this article, where four fundamental components of edge intelligence are identified: edge caching, edge training, edge inference, and edge offloading.
126
Convergence of Networking and Cloud/Edge Computing: Status, Challenges, and Opportunities
TL;DR: The notion of such convergence is described and an architectural framework for converged network-cloud/edge systems is presented and the state of the art of enabling technologies for network- cloud/edge convergence is surveyed by reviewing recent progress in relevant standardization and technology developments in representative research projects.
103
Decentralized SDN Control Plane for a Distributed Cloud-Edge Infrastructure: A Survey
TL;DR: This article surveys and analyzes the characteristics and limitations of existing technologies in the Software Defined Network field that could be used to provide the inter-site connectivity feature and introduces Kubernetes, the new de facto container orchestrator platform.
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