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Hi there, I am Sam Gabrail, MASc, a driven technologist and educator with a deep-rooted…
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🔐 Secrets Management for Platform Engineers with HashiCorp Vault Master secrets management with HashiCorp Vault. This full-course video covers…
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🔒 Platform Engineering Meets Secure Development Learn how Coder ensures secure software development by providing secure, isolated development…
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Experience
Education
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Volunteer Experience
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Youth Leader
Hope Bible Church Oakville
- 6 years 10 months
Education
Publications
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Pricing in a Multiple ISP Environment with Delay Bounds and Varying Traffic Loads
http://uwspace.uwaterloo.ca/bitstream/10012/3855/1/Sameh%20Gabrail's%20Masters%20Thesis%20Electronic.pdf
In this thesis, we study different Internet pricing schemes and how they can be applied to a multiple ISP environment. We first take a look at the current Internet architecture. Then the different classes that make up the Internet hierarchy are discussed. We also take a look at peering among Internet Service Providers (ISPs) and when it is a good idea for an ISP to consider peering. Moreover, advantages and disadvantages of peering are discussed along with speculations of the evolution of the…
In this thesis, we study different Internet pricing schemes and how they can be applied to a multiple ISP environment. We first take a look at the current Internet architecture. Then the different classes that make up the Internet hierarchy are discussed. We also take a look at peering among Internet Service Providers (ISPs) and when it is a good idea for an ISP to consider peering. Moreover, advantages and disadvantages of peering are discussed along with speculations of the evolution of the Internet peering ecosystem. We then consider different pricing schemes that have been proposed and study the factors that make up a good pricing plan. Finally, we apply some game theoretical concepts to discuss how different ISPs could interact together. We choose a pricing model based on a Stackelberg game that takes into consideration the effect of the traffic variation among different customers in a multiple ISP environment. It allows customers to specify their desired QoS in terms of maximum allowable end-to-end delay. Customers only pay for the portion of traffic that meet this delay bound. Moreover, we show the effectiveness of adopting this model through a comparison with a model that does not take traffic variation into account. We also develop a naïve case and compare it to our more sophisticated approach.
Courses
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Broadband Communication Networks
ECE610
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Computer Network Security
ECE628
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Getting Started with Kubernetes
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Information Theory
ECE612
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Intro to Optimization
ECE700-Topic2
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Mastering Ansible
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Space-Time Coding for Wireless Communications
ECE710-Topic7
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Stochastic Processes
ECE604
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Wireless Communication Network
ECE710-Topic2
Languages
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Arabic
Native or bilingual proficiency
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English
Native or bilingual proficiency
Recommendations received
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