ODRAD: An optical wireless DCN dynamic-bandwidth reconfiguration with AWGR and deep reinforcement learning

K Geresu, H Gu, M Fadhel, W Wei, X Yu - Optical Switching and Networking, 2024 - Elsevier
The rapid growth of Data Center Network (DCN) traffic has brought new challenges, such as
limited bandwidth, high latency, and packet loss to existing DCNs based on electrical …

Resource Allocation Strategy Using Deep Reinforcement Learning in Cloud‐Edge Collaborative Computing Environment

J Cen, Y Li - Mobile Information Systems, 2022 - Wiley Online Library
With the development of technologies such as IoT and 5G, the exponential explosion in the
amount of new data has put more stringent requirements on ultrareliable and low‐delay …

FPGA xPON traffic analysis

A Tomasov, T Horvath, P Munster… - 2021 44th …, 2021 - ieeexplore.ieee.org
Passive optical networks are a suitable and promising solution for the service delivery
network, particularly for data, video, and voice communications. An optical distribution …

[PDF][PDF] BANDWIDTH REALLOCATION APPROACH FOR OPTIMIZED DATA SLICES DISTRIBUTION OVER MULTI CLOUD STORAGE

SS Alnuaimi, EA SUNDARARAJAN, AH ABD - Journal of Theoretical and …, 2022 - jatit.org
This paper sheds light on cloud computing and the importance of storing data in multiple
clouds. Here it becomes an obvious necessity as when large data is transferred to a single …

Network Optimization and Network User Access Limitations Using Mikhmon Server at Diskominfo Palembang City

G Barovih, L Artika, FA Manto - LC International Journal of STEM (ISSN …, 2022 - lcjstem.com
Technological advancements have a significant impact on how people live their lives and
offer a variety of advantages and conveniences. This trend also applies to computer network …