An overview of service placement problem in fog and edge computing

FA Salaht, F Desprez, A Lebre - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
To support the large and various applications generated by the Internet of Things (IoT), Fog
Computing was introduced to complement the Cloud Computing and offer Cloud-like …

A review of edge computing: Features and resource virtualization

Y Mansouri, MA Babar - Journal of Parallel and Distributed Computing, 2021 - Elsevier
With the advent of Internet of Things (IoT) connecting billions of mobile and stationary
devices to serve real-time applications, cloud computing paradigms face some significant …

A survey on controller placement in SDN

T Das, V Sridharan, M Gurusamy - … communications surveys & …, 2019 - ieeexplore.ieee.org
In recent years, Software Defined Networking (SDN) has emerged as a pivotal element not
only in data-centers and wide-area networks, but also in next generation networking …

Dependent function embedding for distributed serverless edge computing

S Deng, H Zhao, Z Xiang, C Zhang… - … on Parallel and …, 2021 - ieeexplore.ieee.org
Edge computing is booming as a promising paradigm to extend service provisioning from
the centralized cloud to the network edge. Benefit from the development of serverless …

Optimal placement of applications in the fog environment: A systematic literature review

MM Islam, F Ramezani, HY Lu, M Naderpour - Journal of Parallel and …, 2023 - Elsevier
The fog-computing paradigm complements cloud computing to support the deployment and
execution of latency-sensitive applications at the network edge by offering enhanced …

Evaluation of fog application placement algorithms: a survey

S Smolka, ZÁ Mann - Computing, 2022 - Springer
Recently, the concept of cloud computing has been extended towards the network edge.
Devices near the network edge, called fog nodes, offer computing capabilities with low …

Linearize, predict and place: minimizing the makespan for edge-based stream processing of directed acyclic graphs

S Khare, H Sun, J Gascon-Samson, K Zhang… - Proceedings of the 4th …, 2019 - dl.acm.org
Many IoT applications found in cyber-physical systems, such as smart grids, must take
control actions in response to critical events, such as supply-demand mismatch, which …

QoS-aware workload distribution in hierarchical edge clouds: a reinforcement learning approach

C Cho, S Shin, H Jeon, S Yoon - IEEE Access, 2020 - ieeexplore.ieee.org
Recently, edge computing is getting attention as a new computing paradigm that is expected
to achieve short-delay and high-throughput task offloading for large scale Internet-of-Things …

From cell towers to smart street lamps: Placing cloudlets on existing urban infrastructures

J Gedeon, M Stein, J Krisztinkovics… - 2018 IEEE/ACM …, 2018 - ieeexplore.ieee.org
Cloudlets are small-scale offloading units for low-latency demands, offering a unique
opportunity for emerging smart city applications such as autonomous driving or augmented …

Graph neural network for in-network placement of real-time metaverse tasks in next-generation network

SM Rashid, I Aliyu, IK Jeong, TW Um, J Kim - arXiv preprint arXiv …, 2024 - arxiv.org
This study addresses the challenge of real-time metaverse applications by proposing an in-
network placement and task-offloading solution for delay-constrained computing tasks in …