5G new radio fronthaul network design for eCPRI-IEEE 802.1 CM and extreme latency percentiles
GO Pérez, DL Lopez, JA Hernández - IEEE Access, 2019 - ieeexplore.ieee.org
Packet-switched fronthaul networks are often designed following the rule that the worst-case
network delay must be below a given target end-to-end network latency budget. However …
network delay must be below a given target end-to-end network latency budget. However …
Impact of increasing wait times on overall mortality of chimeric antigen receptor T-cell therapy in large B-cell lymphoma: a discrete event simulation model
PURPOSE The development of chimeric antigen receptor (CAR) T cells has transformed
oncology treatment, with the potential to cure certain cancers. Although shown to be effective …
oncology treatment, with the potential to cure certain cancers. Although shown to be effective …
A resilience systemic model for assessing critical supply chain disruptions
E Oliver, T Mazzuchi, S Sarkani - Systems Engineering, 2022 - Wiley Online Library
Assessing the impact of natural disasters and manmade incidents against critical
infrastructure systems is important and challenging. As critical infrastructure sectors become …
infrastructure systems is important and challenging. As critical infrastructure sectors become …
Fog native architecture: Intent-based workflows to take cloud native toward the edge
The cloud native approach is rapidly transforming how applications are developed and
operated, turning monolithic applications into microservice applications, allowing teams to …
operated, turning monolithic applications into microservice applications, allowing teams to …
On the optimality of task offloading in mobile edge computing environments
I Alghamdi, C Anagnostopoulos… - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) has emerged as new computing paradigm to improve the
QoS of users' applications. A challenge in MEC is computation (task/data) offloading, whose …
QoS of users' applications. A challenge in MEC is computation (task/data) offloading, whose …
Learning EPON delay models from data: a machine learning approach
There have been a large number of studies focused on the characterization of the upstream
delay in time-division multiplexing passive optical networks (TDM-PONs). However, most of …
delay in time-division multiplexing passive optical networks (TDM-PONs). However, most of …
[图书][B] Data science for mathematicians
N Carter - 2020 - books.google.com
Mathematicians have skills that, if deepened in the right ways, would enable them to use
data to answer questions important to them and others, and report those answers in …
data to answer questions important to them and others, and report those answers in …
An analytical framework of a C-RAN supporting random, quasi-random and bursty traffic
We consider a cloud radio access network (C-RAN) where the baseband signal processing
servers, named baseband units (BBUs) are separated from the remote radio heads (RRHs) …
servers, named baseband units (BBUs) are separated from the remote radio heads (RRHs) …
Congestion probabilities in a multi-cluster C-RAN servicing a mixture of traffic sources
A multi-cluster cloud radio access network (C-RAN) is considered in this paper where the
remote radio heads (RRHs) form different clusters. A cluster includes RRHs that have the …
remote radio heads (RRHs) form different clusters. A cluster includes RRHs that have the …
Analysis of a hybrid fixed-elastic DBA with guaranteed fronthaul delay in XG (s)-PONs
D Eugui, JA Hernández - Computer Networks, 2019 - Elsevier
Abstract Reusing the existing Optical Distribution Network (ODN) of Passive Optical
Networks (PONs) to bring connectivity to residential households together with providing the …
Networks (PONs) to bring connectivity to residential households together with providing the …