Zobrazeno 1 - 10
of 57
pro vyhledávání: '"CHEOL-HO HONG"'
Publikováno v:
PLoS ONE, Vol 19, Iss 5 (2024)
Externí odkaz:
https://doaj.org/article/4aca4e71314f4ed6ac9a6f991cedec94
Publikováno v:
Applied Sciences, Vol 13, Iss 24, p 13329 (2023)
Containers enable high performance and easy deployment due to their lightweight architecture, thus facilitating resource utilization in edge computing nodes. Secure container runtimes have attracted significant attention because of the necessity for
Externí odkaz:
https://doaj.org/article/b2349144f46a4ed7876c5ebf81aaf960
Publikováno v:
Sensors, Vol 23, Iss 3, p 1484 (2023)
To maximize the performance of IoT devices in edge computing, an adaptive polling technique that efficiently and accurately searches for the workload-optimized polling interval is required. In this paper, we propose NetAP-ML, which utilizes a machine
Externí odkaz:
https://doaj.org/article/cedca368a7f849bb831c001a0542c975
Publikováno v:
Sensors, Vol 23, Iss 2, p 858 (2023)
Defects or cracks in roads, building walls, floors, and product surfaces can degrade the completeness of the product and become an impediment to quality control. Machine learning can be a solution for detecting defects effectively without human exper
Externí odkaz:
https://doaj.org/article/6be9923f6d624606bc23d2022d9f3bf2
Publikováno v:
Applied Sciences, Vol 10, Iss 15, p 5219 (2020)
In cloud systems, computing resources, such as the CPU, memory, network, and storage devices, are virtualized and shared by multiple users. In recent decades, methods to virtualize these resources efficiently have been intensively studied. Neverthele
Externí odkaz:
https://doaj.org/article/1cec44e335cf4088a2524ec4206ae4ae
Publikováno v:
Applied Sciences, Vol 10, Iss 3, p 1014 (2020)
In cloud computing, a shared storage server, which provides a network-attached storage device, is usually used for centralized data management. However, when multiple virtual machines (VMs) concurrently access the storage server through the network,
Externí odkaz:
https://doaj.org/article/cc78683801944b68a0c6ce9b8c00ef5f
Publikováno v:
Sensors, Vol 18, Iss 10, p 3444 (2018)
Fog computing is a new computing paradigm that employs computation and network resources at the edge of a network to build small clouds, which perform as small data centers. In fog computing, lightweight virtualization (e.g., containers) has been wid
Externí odkaz:
https://doaj.org/article/5c402cf1d2214b3eab5a4d604838b7d8
Publikováno v:
Sensors, Vol 18, Iss 10, p 3267 (2018)
Fog computing, which places computing resources close to IoT devices, can offer low latency data processing for IoT applications. With software-defined networking (SDN), fog computing can enable network control logics to become programmable and run o
Externí odkaz:
https://doaj.org/article/bc31a951f6664e4e8ae9025c2546ad2b
Publikováno v:
Future Generation Computer Systems. 130:181-192
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7e5b817b755857818c92ca273fa785f
https://doi.org/10.1016/j.future.2021.12.016
https://doi.org/10.1016/j.future.2021.12.016
Autor:
JUNKYU LEE, MUKHANOV, LEV, MOLAHOSSEINI, AMIR SABBAGH, MINHAS, UMAR, YANG HUA, DEL RINCON, JESUS MARTINEZ, DICHEV, KIRIL, CHEOL-HO HONG, VANDIERENDONCK, HANS
Publikováno v:
ACM Computing Surveys; 2023 Suppl13s, Vol. 55, p1-36, 36p