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This SpringerBrief offers two concrete design examples for traffic
offloading. The first is an optimal resource allocation for
small-cell based traffic offloading that aims at minimizing mobile
users' data cost. The second is an optimal resource allocation for
device-to-device assisted traffic offloading that also minimizes
the total energy consumption and cellular link usage (while
providing an overview of the challenging issues). Both examples
illustrate the importance of proper resource allocation to the
success of traffic offloading, show the consequent performance
advantages of executing optimal resource allocation, and present
the methodologies to achieve the corresponding optimal offloading
solution for traffic offloading in heterogeneous cellular networks.
The authors also include an overview of heterogeneous cellular
networks and explain different traffic offloading paradigms ranging
from uplink traffic offloading through small cells to downlink
traffic offloading via mobile device-to-device cooperation. This
brief is an excellent resource for postgraduate students studying
advanced-level topics in wireless communications and networking.
Researchers, engineers and professionals working in related fields
will also find this brief a valuable resource tool.
This book provides a comprehensive review and in-depth discussion
of the state-of-the-art research literature and propose
energy-efficient computation offloading and resources management
for mobile edge computing (MEC), covering task offloading, channel
allocation, frequency scaling and resource scheduling. Since the
task arrival process and channel conditions are stochastic and
dynamic, the authors first propose an energy efficient dynamic
computing offloading scheme to minimize energy consumption and
guarantee end devices' delay performance. To further improve energy
efficiency combined with tail energy, the authors present a
computation offloading and frequency scaling scheme to jointly deal
with the stochastic task allocation and CPU-cycle frequency scaling
for minimal energy consumption while guaranteeing the system
stability. They also investigate delay-aware and energy-efficient
computation offloading in a dynamic MEC system with multiple edge
servers, and introduce an end-to-end deep reinforcement learning
(DRL) approach to select the best edge server for offloading and
allocate the optimal computational resource such that the expected
long-term utility is maximized. Finally, the authors study the
multi-task computation offloading in multi-access MEC via
non-orthogonal multiple access (NOMA) and accounting for the
time-varying channel conditions. An online algorithm based on DRL
is proposed to efficiently learn the near-optimal offloading
solutions. Researchers working in mobile edge computing, task
offloading and resource management, as well as advanced level
students in electrical and computer engineering,
telecommunications, computer science or other related disciplines
will find this book useful as a reference. Professionals working
within these related fields will also benefit from this book.
This book constitutes the refereed post-conference proceedings of
the 11th International Conference on Mobile Networks and
Management, MONAMI 2021, held in October 2021. The conference was
held virtually due to the COVID-19 pandemic. The 26 full papers
were carefully reviewed and selected from 53 submissions. The
papers are divided into groups of content as follows: The
application of artificial intelligence for smart city; Advanced
technology in edge and fog computing; Emerging technologies and
applications in mobile networks and management; and Recent advances
in communications and computing.
The original idea of IS is to send two solid-gas streams to impinge
against each other at high velocity, enhancing transfer between
phases. IS is classified into two kinds: Gas-continuous impinging
streams (GIS) and Liquid-continuous ones (LIS). Impinging Streams
describes fundamentals, major properties and application of IS, as
a category of novel technologies in chemical engineering. Because
of the universality of transfer phenomena, it is receiving
widespread attention. This book represents the first book in this
area for over 10 years and covers achievements and technologies.
* describing clearly the properties of Gas-continuous and
Liquid-continuous impinging streams
* introducing new technical devices
* includes a number of worked application cases, which are
illustrated in detail
O Arquivo da Falesia Azul (Blue Cliff Record, em ingles; Biyan Lu,
em chines; e em japanes, Hekiganroku) e um conjunto de 100 Koans
Zen Budistas que foram compilados na China durante a dinastia Song
em 1125 e depois expandido ate sua forma atual pelo mestre Zen
Yuanwu Keqin (1063 - 1135). O volume tambem inclui as anotacoes e
comentarios de Yuanwu sobre os 100 koans compilados por Xuedou
Zhongxian (980 - 1052; 100 Versos sobre Casos Antigos). Xuedou
selecionou 82 desses koans do Jingde Chuandeng Lu (Arquivo de
Transmissao da Lampada da Era Jingde), e os outros ele retirou do
Yunmen Guanglu (Arquivo Extenso de Yunmen Wenyan; 864 - 949). A
traducao dos koans do ingles para o portugues foi realizada por
Gentil Saraiva Junior, professor, escritor, editor, poeta, autor
dos livros de poesia Semente de Estrelas e Canto do Amor Em Si, e
tradutor da obra poetica de Walt Whitman, Folhas de Relva, para o
portugues (tambem publicada no CreateSpace e KDP).
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