Computation offloading toward edge computing
We are living in a world where massive end devices perform computing everywhere and
everyday. However, these devices are constrained by the battery and computational …
everyday. However, these devices are constrained by the battery and computational …
Draps: Dynamic and resource-aware placement scheme for docker containers in a heterogeneous cluster
Y Mao, J Oak, A Pompili, D Beer… - 2017 IEEE 36th …, 2017 - ieeexplore.ieee.org
Virtualization is a promising technology that has facilitated cloud computing to become the
next wave of the Internet revolution. Adopted by data centers, millions of applications that …
next wave of the Internet revolution. Adopted by data centers, millions of applications that …
Progress-based container scheduling for short-lived applications in a kubernetes cluster
In the past decade, we have envisioned enormous growth in the data generated by different
sources, ranging from weather sensors and customer purchasing records to Internet of …
sources, ranging from weather sensors and customer purchasing records to Internet of …
Speculative container scheduling for deep learning applications in a kubernetes cluster
In the past decade, we have witnessed a dramatically increasing volume of data collected
from various sources. To maximize utilization, various machine and deep learning models …
from various sources. To maximize utilization, various machine and deep learning models …
Flowcon: Elastic flow configuration for containerized deep learning applications
An increasing number of companies are using data analytics to improve their products,
services, and business processes. However, learning knowledge effectively from massive …
services, and business processes. However, learning knowledge effectively from massive …
Target-based resource allocation for deep learning applications in a multi-tenancy system
W Zheng, Y Song, Z Guo, Y Cui, S Gu… - 2019 IEEE High …, 2019 - ieeexplore.ieee.org
The neural-network based deep learning is the key technology that enables many powerful
applications, which include self-driving vehicles, computer vision, and natural language …
applications, which include self-driving vehicles, computer vision, and natural language …
[HTML][HTML] EDITORS: Energy-aware Dynamic Task Offloading using Deep Reinforcement Transfer Learning in SDN-enabled Edge Nodes
In mobile edge computing systems, a task offloading approach should balance efficiency,
adaptability, trust management, and reliability. This approach aims to maximise resource …
adaptability, trust management, and reliability. This approach aims to maximise resource …
EEG analysis for implicit tagging of video data
In this work, we aim to find neuro-physiological indicators to validate tags attached to video
content. Subjects are shown a video and a tag and we aim to determine whether the shown …
content. Subjects are shown a video and a tag and we aim to determine whether the shown …
Workload-aware task placement in edge-assisted human re-identification
This work is a cross-domain study by utilizing the most recent cloud and edge computing
techniques in the human re-identification, which is a popular computer-vision application …
techniques in the human re-identification, which is a popular computer-vision application …
Form 10-q itemization
The quarterly financial statement, or Form 10-Q, is one of the most frequently required filings
for US public companies to disclose financial and other important business information. Due …
for US public companies to disclose financial and other important business information. Due …