A near-optimal &amp; load balanced resilient system design for high-performance computing platform

Kamila, Nilayam Kumar; Pani, Subhendu Kumar; Das, Rashmi Prava; Bharti, P. K.; Najafabadi, Hamid Esmaeili; Gheisari, Mehdi; Liu, Yang

doi:10.1007/s10586-022-03913-8

Cited by 3 publications

(1 citation statement)

References 35 publications

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“…Meanwhile, the research trend went towards using the SDN paradigm with the IoT-based smart city environment as presented by the authors in [14,[22][23][24]. They first simplified the IoT environment with the SDN paradigm.…”

Section: Table 1 Comparison Between Related Workmentioning

confidence: 99%

An Agile Privacy-Preservation Solution for IoT-Based Smart City Using Different Distributions

Gheisari

Shojaeian

Javadpour

et al. 2023

IEEE Open J. Veh. Technol.

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In today's world, everything is connected via the Internet. Smart cities are one application of the Internet of Things (IoT) that is aimed at making city management more efficient and effective. However, IoT devices within a smart city may collect sensitive information. Protecting sensitive information requires maintaining privacy. Existing smart city solutions have been shown not to offer effective privacy protection. We propose a novel continuous method called Differential Privacy-Preserving Smart City (DPSmartCity). When the IoT device produces sensitive data, it applies differential privacy techniques as a privacy-preserving method that uses Laplace distributions or exponential distributions. The controller receives the perturbed data and forwards it to the SDN. SDN controllers eventually send the data to the cloud for further analysis. Accordingly, if the data is not sensitive, it is directly uploaded to the cloud. In this way, DPSmartCity provides a dynamic environment from the point of view of privacy preservation. As a result, adversaries are unable to easily compromise the privacy of the devices. The solution incurs at most 10-18% overhead on IoT devices. Our solution can therefore be used for IoT devices that are capable of handling this overhead.

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Section: Table 1 Comparison Between Related Workmentioning

confidence: 99%

An Agile Privacy-Preservation Solution for IoT-Based Smart City Using Different Distributions

Gheisari

Shojaeian

Javadpour

et al. 2023

IEEE Open J. Veh. Technol.

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Statistical Methods for Performance Analysis of Data Processing Systems in High-Performance Computing Environments

Kannagi,

Das,

Dheer

2024

2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)

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Dynamic Data Placement Strategy with Network Security Issues in Distributed Cloud Environment for Medical Issues: An Overview

Pradhan,

Behera,

Gheisari

2024

RACSC

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The rapid integration of distributed cloud systems in the healthcare industry has profoundly impacted the management of valuable medical data. While this advancement has significantly improved data handling, protecting sensitive healthcare information in such a complex environment remains daunting. This comprehensive study explores the crucial intersection between dynamic data placement strategies and network security concerns in distributed cloud environments, particularly healthcare. After establishing the significance and context of this research, the survey delves into the growing need to safeguard medical data within the everevolving landscape of cloud-based healthcare systems. It lays out fundamental concepts, such as dynamic data placement and network security, highlighting their unique implications in the medical domain. Ultimately, this survey sheds light on the most effective approaches for balancing dynamic data placement and network security in the healthcare sector. This research delves into examining many tactics, evaluating their effectiveness in handling delicate medical information, and presenting tangible use cases. A key focus of this investigation is the fusion of data organization and network safety within the healthcare industry. It investigates the adaptability of dynamic data positioning techniques in fortifying network security and safeguarding against potential threats unique to the healthcare sector. Case studies of the successful implementation of these strategies in healthcare establishments are also included.

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A near-optimal & load balanced resilient system design for high-performance computing platform

Cited by 3 publications

References 35 publications

An Agile Privacy-Preservation Solution for IoT-Based Smart City Using Different Distributions

An Agile Privacy-Preservation Solution for IoT-Based Smart City Using Different Distributions

Statistical Methods for Performance Analysis of Data Processing Systems in High-Performance Computing Environments

Dynamic Data Placement Strategy with Network Security Issues in Distributed Cloud Environment for Medical Issues: An Overview

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