SEUSS: skip redundant paths to make serverless fast

J Cadden, T Unger, Y Awad, H Dong… - Proceedings of the …, 2020 - dl.acm.org
This paper presents a system-level method for achieving the rapid deployment and high-
density caching of serverless functions in a FaaS environment. For reduced start times …

[HTML][HTML] Cache in fog computing design, concepts, contributions, and security issues in machine learning prospective

MA Naeem, YB Zikria, R Ali, U Tariq, Y Meng… - Digital Communications …, 2023 - Elsevier
The massive growth of diversified smart devices and continuous data generation poses a
challenge to communication architectures. To deal with this problem, communication …

Edge computing: A systematic map** study

J Sakhdari, B Zolfaghari, S Izadpanah… - Concurrency and …, 2023 - Wiley Online Library
Edge computing is a new way of computing that uses resources at the edge of a network to
solve the problem of communication delays in applications that require immediate …

6G in the sky: on‐demand intelligence at the edge of 3D networks

E Calvanese Strinati, S Barbarossa, T Choi… - ETRI …, 2020 - Wiley Online Library
Sixth generation will exploit satellite, aerial, and terrestrial platforms jointly to improve radio
access capability and unlock the support of on‐demand edge cloud services in three …

DEDICAT 6G-Dynamic coverage extension and distributed intelligence for human centric applications with assured security, privacy and trust: From 5G to 6G

V Stavroulaki, EC Strinati, F Carrez… - 2021 Joint European …, 2021 - ieeexplore.ieee.org
5G networks offer unparalleled data rates and features. However these are still far from what
a hyperconnected society and industry needs. Future wireless connectivity Beyond 5G …

A cache-assisted computing offloading strategy based on deep Q network

Q Song, J Wang, J Liu - 2023 7th International Conference on …, 2023 - ieeexplore.ieee.org
Mobile edge computing (MEC) provides users with abundant wireless resources and cloud
computing capabilities to meet their computing demand. Existing works tend to consider …

[HTML][HTML] Optimal design of hierarchical cloud-fog&edge computing networks with caching

X Fan, H Zheng, R Jiang, J Zhang - Sensors, 2020 - mdpi.com
This paper investigates the optimal design of a hierarchical cloud-fog&edge computing
(FEC) network, which consists of three tiers, ie, the cloud tier, the fog&edge tier, and the …

A DRL Enhanced Caching Based on Age of Information for 6G Mobile Edge Computation

Y Liu, C Wang, Y Shi, D Deng, T Ma… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
the advancement of 6G commercial use, a large number of new applications that rely on
high speed and low latency have emerged, eg, Mixed Reality (MR). Considering the …

Control methods and applicative scenarios for next-generation cellular telecommunication networks

E De Santis - 2023 - iris.uniroma1.it
The increasing demand for connectivity services to the mobile (cellular) network, together
with the co-existence of former terrestrial mobile networks and the convergence of satellite …

Joint Task offload and Resource Allocation for Cognitive Edge Computing Using AI Algorithm

C Li, X Deng, H Qin, L Zheng… - 2021 IEEE/ACIS 20th …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) brings, besides various opportunities, challenges for the
resource allocation. The heterogeneity of resources in multiple cells further exacerbates this …