Boosting Edge Computing Performance Through Heterogeneous Manycore Systems
| Autor: | Sung-In Jung, Ramneek, Yeon Jeong Jeong, Sangheon Pack, Jin Mee Kim, Seung-Jun Cha, Seung Hyub Jeon |
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| Rok vydání: | 2018 |
| Předmět: |
Computer science
business.industry Distributed computing Cloud computing 010501 environmental sciences Virtualization computer.software_genre 01 natural sciences 03 medical and health sciences 0302 clinical medicine Converged infrastructure Server 030212 general & internal medicine Mobile telephony business Mobile device Massively parallel computer Edge computing 0105 earth and related environmental sciences |
| Zdroj: | 2018 International Conference on Information and Communication Technology Convergence (ICTC). |
| Popis: | The rapid development of advanced mobile applications, Internet of Things (IoT), and mobile communication technology has led to the emergence of edge computing. The paradigm shift from centralized cloud computing towards edge computing has been driven by the need to efficiently support compute intensive and delay sensitive tasks for resource and capacity constrained mobile devices and sensors, by running the applications in close proximity to the users. A number of hardware, software and hyper converged infrastructure solutions have been proposed for supporting edge computing. However, supporting massively parallel workloads for increasingly large number of mobile devices and applications can be a challenging issue. In this paper, we highlight how the features and capabilities of manycore servers can be leveraged to provide efficient edge computing services. We also discuss the key features and research challenges for supporting the computation, communication and caching (i.e. 3C) services on manycore systems. |
| Databáze: | OpenAIRE |
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