Performance analysis of edge-fog-cloud architectures in the internet of things

K Geihs, H Baraki, A de la Oliva - 2020 IEEE/ACM 13th …, 2020 - ieeexplore.ieee.org
We present a general performance model for communication architectures in Internet of
Things scenarios. The architecture involves three processing layers, ie, edge, fog, and cloud …

Cloud computing performance evaluation under dynamic resource utilization and traffic control

M Hanini, S El Kafhali - Proceedings of the 2nd international Conference …, 2017 - dl.acm.org
Cloud computing has emerged as a new commercial infrastructure paradigm which has
revolutionized the IT industry. It has particularly the advantage of delivering a flexible, high …

Nash equilibrium and social optimization in cloud service systems with diverse users

L Fu, S Jin - Cluster Computing, 2021 - Springer
Cloud service systems typically rank the tasks from diverse users according to their
privileges. Besides providing high performance service to membership-based users …

Adaptive data center activation with user request prediction

MS Yoon, AE Kamal, Z Zhu - Computer Networks, 2017 - Elsevier
The problem of energy saving in data centers has recently attracted significant interest within
the research community, and the adaptive data center activation model has emerged as a …

Seeding-based multi-objective evolutionary algorithms for multi-cloud composite applications deployment

T Shi, H Ma, G Chen - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
There are an increasing number of enterprises deploying their application services to multi-
cloud to benefit the advantages brought by cloud computing. The multi-cloud composite …

Adaptive edge service deployment in burst load scenarios using deep reinforcement learning

J Xu, H Yu, G Fan, J Zhang, Z Li, Q Tang - The Journal of Supercomputing, 2024 - Springer
The development of edge computing provides a novel deployment strategy for delay-aware
applications, in which applications initially deployed in central servers are shifted closer to …

Does congestion always hurt? Managing discount under congestion in a game-theoretic setting

RL Saha, S Singha, S Kumar - Information Systems …, 2021 - pubsonline.informs.org
We study a scenario in which a buyer (eg, Uber) buys cloud capacity from a seller (eg,
Amazon Web services) to run its business. One of the key factors that affects the quality of …

Asymptotically optimal lagrangian priority policy for deadline scheduling with processing rate limits

L Hao, Y Xu, L Tong - IEEE Transactions on Automatic Control, 2021 - ieeexplore.ieee.org
We study the deadline scheduling problem for multiple deferrable jobs that arrive in a
random manner and are to be processed before individual deadlines. The processing of the …

Performance modelling and analysis of an OpenStack IaaS cloud computing platform

KM Maiyama, D Kouvatsos… - 2017 IEEE 5th …, 2017 - ieeexplore.ieee.org
Performance is one of the main aspects that should be taken into consideration during the
design, development, tuning and optimisation of computer networks supported by cloud …

A hybrid multiple parallel queuing model to enhance QoS in cloud computing

S Afzal, G Kavitha - International Journal of Grid and High …, 2020 - igi-global.com
Among the different QoS metrics and parameters considered in cloud computing are the
waiting time of cloud tasks, execution time of tasks in VM's, and the utilization rate of servers …