Neural network-based uncertainty quantification: A survey of methodologies and applications

HMD Kabir, A Khosravi, MA Hosen… - IEEE access, 2018 - ieeexplore.ieee.org
Uncertainty quantification plays a critical role in the process of decision making and
optimization in many fields of science and engineering. The field has gained an …

Uncertainty-aware decisions in cloud computing: Foundations and future directions

HMD Kabir, A Khosravi, SK Mondal… - ACM Computing …, 2021 - dl.acm.org
The rapid growth of the cloud industry has increased challenges in the proper governance of
the cloud infrastructure. Many intelligent systems have been develo**, considering …

Optimal uncertainty-guided neural network training

HMD Kabir, A Khosravi, A Kavousi-Fard… - Applied Soft …, 2021 - Elsevier
The neural network (NN)-based direct uncertainty quantification (UQ) methods have
achieved the state of the art performance since the first inauguration, known as the lower …

Aleatory-aware deep uncertainty quantification for transfer learning

HMD Kabir, S Khanam, F Khozeimeh… - Computers in Biology …, 2022 - Elsevier
The user does not have any idea about the credibility of outcomes from deep neural
networks (DNN) when uncertainty quantification (UQ) is not employed. However, current …

T-RACKs: A faster recovery mechanism for TCP in data center networks

AM Abdelmoniem, B Bensaou - IEEE/ACM Transactions on …, 2021 - ieeexplore.ieee.org
Cloud interactive data-driven applications generate swarms of small TCP flows that compete
for the small switch buffer space in data-center. Such applications require a small flow …

Online auction for IaaS clouds: Towards elastic user demands and weighted heterogeneous VMs

J Li, Y Zhu, J Yu, C Long, G Xue… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Auctions have been adopted by many major cloud providers, such as Amazon EC2.
Unfortunately, only simple auctions have been implemented. Such simple auction has …

Leveraging chaos for enhancing encryption and compression in large cloud data transfers

S Bhattacharjee, H Sharma, T Choudhury… - The Journal of …, 2024 - Springer
One of the routine exercises to manage and improve the performance and utility of the cloud
is the migration or transfer of cloud data whether it is large or small. However, it is extremely …

An Empirical Study of Efficiency and Privacy of Federated Learning Algorithms

S Zahri, H Bennouri, AM Abdelmoniem - arxiv preprint arxiv:2312.15375, 2023 - arxiv.org
In today's world, the rapid expansion of IoT networks and the proliferation of smart devices in
our daily lives, have resulted in the generation of substantial amounts of heterogeneous …

[PDF][PDF] Performance and Cost Analysis Between On-Demand and Preemptive Virtual Machines.

BGS Costa, MAS Reis, APF Araújo, P Solis - CLOSER, 2018 - academia.edu
A few years ago, Amazon Web Services introduced spot instances, transient servers that can
be contracted at a significant discount over regular price, but whose availability depends on …

A cloud bidding framework for deadline constrained jobs

HMD Kabir, AS Sabyasachi, A Khosravi… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
Reliable completion of the computing jobs through Amazon spot instances (SIs) with proper
bargaining is challenging. Therefore, an SI bidding system is developed for deadline …