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عدنان جمعة جابر خليف - Adnan J Jabir
PhD - assistant professor
College of Science , Department of Computer
[email protected]
Summary

Adnan J. Jabir received the B.Sc. and M.Sc. degrees in Computer Science from the University of Baghdad, Iraq in 1995 and 1998 respectively. Received the PhD degree from Department of Communication Technology and Networks, Faculty of Computer Science and Information Technology, University Putra Malaysia (UPM), Malaysia in 2015. I am currently working as an assistant professor at the department of computer science, university of Baghdad. My major research interests are computer networks, wireless sensor networks, IoT, ubiquitous computing, network mobility management protocols, cloud computing, fog computing.

Qualifications

B.Sc. in Computer Science, University of Baghdad, 1995. M.Sc. in Computer Science, University of Baghdad, 1998. PhD degree from Department of Communication Technology and Networks, Faculty of Computer Science and Information Technology, University Putra Malaysia (UPM), Malaysia, 2015.

Research Interests

computer networks, wireless sensor networks, IoT, ubiquitous computing, network mobility management protocols, cloud computing, fog computing.

Publication Date
Thu May 17 2012
Journal Name
Eurasip Journal On Wireless Communications And Networking
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Publication Date
Sat Jun 29 2013
Journal Name
Wireless Personal Communications
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Publication Date
Wed Jan 01 2014
Journal Name
Ieice Transactions On Communications
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Publication Date
Wed Dec 23 2020
Journal Name
Iraqi Journal For Electrical And Electronic Engineering
Heuristic and Meta-Heuristic Optimization Models for Task Scheduling in Cloud-Fog Systems: A Review

Nowadays, cloud computing has attracted the attention of large companies due to its high potential, flexibility, and profitability in providing multi-sources of hardware and software to serve the connected users. Given the scale of modern data centers and the dynamic nature of their resource provisioning, we need effective scheduling techniques to manage these resources while satisfying both the cloud providers and cloud users goals. Task scheduling in cloud computing is considered as NP-hard problem which cannot be easily solved by classical optimization methods. Thus, both heuristic and meta-heuristic techniques have been utilized to provide optimal or near-optimal solutions within an acceptable time frame for such problems. In th

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Publication Date
Sun Mar 28 2021
Journal Name
Iraqi Journal For Electrical And Electronic Engineering
A Light Weight Multi-Objective Task Offloading Optimization for Vehicular Fog Computing

Most Internet of Vehicles (IoV) applications are delay-sensitive and require resources for data storage and tasks processing, which is very difficult to afford by vehicles. Such tasks are often offloaded to more powerful entities, like cloud and fog servers. Fog computing is decentralized infrastructure located between data source and cloud, supplies several benefits that make it a non-frivolous extension of the cloud. The high volume data which is generated by vehicles’ sensors and also the limited computation capabilities of vehicles have imposed several challenges on VANETs systems. Therefore, VANETs is integrated with fog computing to form a paradigm namely Vehicular Fog Computing (VFC) which provide low-latency services to mo

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Publication Date
Thu Mar 01 2018
Journal Name
Ieee Systems Journal
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Publication Date
Sun Dec 31 2023
Journal Name
International Journal Of Intelligent Engineering And Systems
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Publication Date
Wed Jan 01 2020
Journal Name
International Journal Of Internet Protocol Technology
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Publication Date
Sun Apr 01 2012
Journal Name
American Journal Of Applied Sciences
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Publication Date
Sat Jun 01 2019
Journal Name
International Journal Of Electrical And Computer Engineering (ijece)
Bulk binding approach for PMIPv6 protocol to reduce handoff latency in IoT

<p>Mobility management protocols are very essential in the new research area of Internet of Things (IoT) as the static attributes of nodes are no longer dominant in the current environment. Proxy MIPv6 (PMIPv6) protocol is a network-based mobility management protocol, where the mobility process is relied on the network entities, named, Mobile Access Gateways (MAGs) and Local Mobility Anchor (LMA). PMIPv6 is considered as the most suitable mobility protocol for WSN as it relieves the sensor nodes from participating in the mobility signaling. However, in PMIPv6, a separate signaling is required for each mobile node (MN) registration, which may increase the network signaling overhead and lead to increase the total handoff latency

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Publication Date
Sun Feb 27 2022
A Multi-Objective Task Offloading Optimization for Vehicular Fog Computing

      Internet of Vehicle (IoV) is one of the most basic branches of the Internet of Things (IoT), which provides many advantages for drivers and passengers to ensure safety and traffic efficiency. Most IoV applications are delay-sensitive and require resources for data storage and computation that cannot be afforded by vehicles. Thus, such tasks are always offloaded to more powerful nodes, like cloud or fog. Vehicular Fog Computing (VFC), which extends cloud computing and brings resources closer to the edge of the network, has the potential to reduce both traffic congestion and load on the cloud. Resources management and allocation process is very critical for satisfying both user and provider needs. However, th

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