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20182021
most citedA Survey of Big Data Machine Learning Applications Optimization in Cloud Data Centers and Networks

11 citations · 25 across the 28 of their papers we have counts for

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Showing 2019Show all

13 papers · 1 filter

cs.NI2019

Resilient Service Embedding In IoT Networks

Haider Qays Al-Shammari, Ahmed Lawey, Taisir El-Gorashi +1

The Internet of Things (IoT) has been applied to a large number of heterogeneous devices and is used in the deployment of a variety of applications on the basis of its distributed…

cs.NI2019★ 11 cited

A Survey of Big Data Machine Learning Applications Optimization in Cloud Data Centers and Networks

Sanaa Hamid Mohamed, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani

This survey article reviews the challenges associated with deploying and optimizing big data applications and machine learning algorithms in cloud data centers and networks. The Ma…

cs.NI2019

Service Embedding in IoT Networks

Haider Qays Al-Shammari, Ahmed Lawey, Taisir El-Gorashi +1

The Internet of Things is anticipated to participate in the execution of a variety of complex tasks in the near future. IoT objects capable of handling multiple sensing and actuati…

eess.SP2019

Networking and processing in optical wireless

Osama Zwaid Alsulami, Amal A. Alahmadi, Sarah O. M. Saeed +4

Optical wireless communication (OWC) is a promising technology that can provide high data rates while supporting multiple users. The Optical Wireless (OW) physical layer has been r…

cs.NI2019

Energy Efficient Resource Allocation in Vehicular Cloud based Architecture

Amal A. Alahmadi, Mohammed O. I. Musa, T. E. H. El-Gorashi +1

The increasing availability of on-board processing units in vehicles has led to a new promising mobile edge computing (MEC) concept which integrates desirable features of clouds an…

cs.NI2019

Energy Efficient Virtual Machine Services Placement in Cloud-Fog Architecture

Hatem A. Alharbi, Taisir E. H. Elgorashi, Jaafar M. H. Elmirghani

The proliferation in data volume and processing requests calls for a new breed of on-demand computing. Fog computing is proposed to address the limitations of cloud computing by ex…