Reliable Internet of Things: Challenges and future trends
The Internet of Things (IoT) is a vital component of many future industries. By intelligent
integration of sensors, wireless communications, computing techniques, and data analytics …
integration of sensors, wireless communications, computing techniques, and data analytics …
Edge computing technology enablers: A systematic lecture study
With the increasing stringent QoS constraints (eg, latency, bandwidth, jitter) imposed by
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …
Interoperable IoMT approach for remote diagnosis with privacy-preservation perspective in edge systems
EVD Subramaniam, K Srinivasan, SM Qaisar… - Sensors, 2023 - mdpi.com
The emergence of the Internet of Medical Things (IoMT) has brought together developers
from the Industrial Internet of Things (IIoT) and healthcare providers to enable remote patient …
from the Industrial Internet of Things (IIoT) and healthcare providers to enable remote patient …
A survey on mission critical task placement and resource utilization methods in the IoT fog-cloud environment
When n number of IoT applications arrive at servers, then rearranging and scheduling them
in such a way to obtain the most optimal criteria is termed as Task Scheduling. The Optimal …
in such a way to obtain the most optimal criteria is termed as Task Scheduling. The Optimal …
Wip: Impact of ai/ml model adaptation on ran control loop response time
The advent of Open Radio Access Network (O-RAN) technology enables intelligent edge
solutions for base stations in beyond 5G (B5G) networks. O-RAN Working Group 2 (WG2) …
solutions for base stations in beyond 5G (B5G) networks. O-RAN Working Group 2 (WG2) …
AVS_FD_MVITS: an agile IT service design workflow for small data centers
M Mora, O Adelakun, PY Reyes-Delgado… - The Journal of …, 2023 - Springer
The systematic design, building and implementation of IT services for on-premise, cloud-
based or hybrid data centers are a hard engineering and managerial process. Heavyweight …
based or hybrid data centers are a hard engineering and managerial process. Heavyweight …
Reliability-Optimal Offloading for Mobile Edge-Computing in Low-Latency Industrial IoT Networks
In this paper, we study a multi-access mobile edge computing (MEC) network in the
industrial Internet-of-Things (IoT) scenario, which aims at providing a joint computation …
industrial Internet-of-Things (IoT) scenario, which aims at providing a joint computation …
Polynomial-time server allocation algorithm in delay-sensitive internet-of-things monitoring services
This paper proposes a polynomial-time algorithm for a server allocation problem in delay-
sensitive Internet-of-Things (IoT) monitoring services. The server allocation problem …
sensitive Internet-of-Things (IoT) monitoring services. The server allocation problem …
Sample contribution pattern based big data mining optimization algorithms
X Shi, Y Liu - IEEE Access, 2021 - ieeexplore.ieee.org
As is the case in many big data mining scenarios with a large scale of samples, the heavy
computation cost hinders the application of machine learning, which has to iteratively …
computation cost hinders the application of machine learning, which has to iteratively …
基于延迟敏感应用的边云协同方案.
张帆， 王亚刚， 刘子杰 - Application Research of Computers …, 2022 - search.ebscohost.com
智能设备存在着存储能力以及计算能力不足的问题, 导致无法满足计算密集型和延迟敏感型应用
的服务质量要求. 边缘计算和云计算被认为是解决智能设备局限性的有效方法 …
的服务质量要求. 边缘计算和云计算被认为是解决智能设备局限性的有效方法 …