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7 results on '"Bastam, Mostafa"'

1. Kubernetes in Action: Exploring the Performance of Kubernetes Distributions in the Cloud

Author

Aqasizade, Hossein, Ataie, Ehsan, and Bastam, Mostafa

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Performance
Abstract

Kubernetes has emerged as a leading open-source platform for container orchestration, allowing organizations to efficiently manage and deploy containerized applications at scale. This paper investigates the performance of four Kubernetes distributions, namely Kubeadm, K3s, MicroK8s, and K0s when running OpenFaaS as a containerized service on a cluster of computing nodes on CloudLab. For this purpose, experiments are conducted to examine the performance of two virtualization modes, namely HVM and PV, supported by Xen as the underlying hypervisor. Moreover, two container runtimes that are integrated with Kubernetes, namely Docker, and Containerd, are examined to assess their performance on both disk-intensive and CPU-intensive workloads. After determining the appropriate underlying Xen mode and container runtime, the Kubernetes distributions are set up and their performance is measured using various metrics, such as request rate, CPU utilization, and scaling behavior., Comment: 18 pages, 14 figures

Published
2024

7. A Cooperation Enforcement, Malice Detection and Energy Efficient Mechanism for Mobile Ad hoc Networks

Author

Ataie, Ehsan, Movaghar, Ali, and Bastam, Mostafa

Abstract

Mobile ad hoc networks communicate in a self-organized way without depending on any fixed infrastructure. The issue of selfish nodes, which may refuse to cooperate, is a great challenge in such networks and may cause network throughput to drastically reduce. Energy-based selfishness is a category of selfishness in which a selfish node shows nondeterministic and probabilistic selfishness behaviors based on level of its energy. In this paper, we propose a mechanism for coping with this kind of selfishness. This mechanism called CEMDEEM not only detects and isolates energy-based and traditional selfish nodes, but also malicious behaviors like spoofing. We also evaluate performance of Dynamic Source Routing (DSR) protocol fortified by CEMDEEM in the presence of different percentages of selfish nodes. Results show that CEMDEEM noticeably improves network performance with a reasonable additional packet overhead and network delay especially when percentage of selfish nodes is not more than 40.

Published
2013

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