Department of Networking

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About Department of Networking

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29

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10

Academic Staff

172

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48

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Who works at the Department of Networking

Department of Networking has more than 10 academic staff members

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Dr. Edries Abdelhadi Ali Mohamad Gomied

ادريس غميض هو احد اعضاء هيئة التدريس بقسم الشبكات بكلية تقنية المعلومات. يعمل السيد ادريس غميض بجامعة طرابلس كـاستاذ مساعد منذ 2013 وله العديد من المنشورات العلمية في مجال تخصصه

Publications

Some of publications in Department of Networking

Performance Comparison of VoIP over MPLS-Based Networks with RSVP Protocol Using SIP, H.323 Signaling Protocols

This paper describes the usage of OPNET simulation tool to evaluate VoIP over MPLS networks which employs RSVP protocol as QoS mechanism with SIP or H.323 as signaling protocols for setting up VoIP calls over the Internet. The results showed that the H.323 with RSVP over MPLS networks produced minimal end-to-end delay than SIP protocol; making it a good choice as a signaling protocol with VoIP over MPLS networks for places requiring minimal end-to-end delay, while SIP reported lowest delay jitter with minimal call setup time
Azeddien M. Sllame, Asra Hema, Huda Alnajem(3-2018)
Publisher's website

Using sequence DNA chips data to Mining and Diagnosing Cancer Patients

Deoxyribonucleic acid (DNA) micro-arrays present a powerful means of observing thousands of gene terms levels at the same time. They consist of high dimensional datasets, which challenge conventional clustering methods. The data’s high dimensionality calls for Self Organizing Maps (SOMs) to cluster DNA micro-array data. The DNA micro-array dataset are stored in huge biological databases for several purposes . The proposed methods are based on the idea of selecting a gene subset to distinguish all classes, it will be more effective to solve a multi-class problem, and we will propose a genetic programming (GP) based approach to analyze multi-class micro-array datasets. This biological dataset will be derived from multiple biological databases. The procedure responsible for extracting datasets called DNA-Aggregator. We will design a biological aggregator, which aggregates various datasets via DNA micro-array community-developed ontology based upon the concept of semantic Web for integrating and exchanging biological data. Our aggregator is composed of modules that retrieve the data from various biological databases. It will also enable queries by other applications to recognize the genes. The genes will be categorized in groups based on a classification method, which collects similar expression patterns. Using a clustering method such as k-mean is required either to discover the groups of similar objects from the biological database to characterize the underlying data distribution. arabic 10 English 60
Mariam Abojela Msaad, Zakaria Suliman Zubi(1-2010)
Publisher's website

Implementation Network Management Solution Using PRTG and Solar Winds Tools

Successful companies know that network management is crucial for the proper support and maintenance of network infrastructure. When it comes to managing a large-scale or highly complex network, you’ll need a powerful network management system that will meet your challenging business needs. There are several programs suggested different types of solutions. PRTG and SolarWinds are an excellent solution, since they have many features that help the network engineer, administrator or technician to easily control, manage and monitor the devices comprehensively. Moreover, PRTG and SolarWinds can integrate with monitoring and management protocols such as SNMP and NetFlow to provide an excellent integrated unified management solution. That being said, PRTG and SolarWinds will facilitate the management of network devices throughout performing configuration, Security, Fault, Performance and Accounting management which will increase productivity, Quality, Revenue and lower the cost. arabic 9 English 66
Mariam Abojela Msaad, Mohamed Fathi Almograbi , Anas Moftah Alshoukri (12-2019)
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