Expressing user preferences with network cookies
Abstract/Contents
- Abstract
- Personalization, the practice of dynamically tailoring functionality for the needs and wants of each user, is a natural step in the evolution of many computing systems (such as PCs, search engines, and recommendation systems). The merits of personalization are obvious: Users get services more quickly and accurately, context and information gets more relevant, and the interaction between users and the personalized system becomes more amicable. This thesis explores personalization as a natural step of the network's evolution, along with its associated benefits and challenges. At first, personalization might seem irrelevant for networks---after all, the network has a single, unambiguous and objective task to complete: Carry packets from one side to the other as quickly as possible. But in practice, networks are more complicated, continuously taking decisions about which traffic gets priority, how different applications are being charged, and to which WiFi network a user should connect and with what password. Making these decisions while ignoring users often produces suboptimal results. For example, the net neutrality debate highlights the dangers in dampening user choice and innovation when ISPs and Content Providers decide which applications are prioritized or zero rated. Similarly, our day-to-day interaction with several user-agnostic networks results in a fragmented user experience: We use different authentication methods and credentials for each network; reachability to desired resources is subject to the network to which we are connected; and we have very little, if any, control over policies such as firewalls and QoS settings. This thesis presents a generic network architecture for personalizing network functionality. Network operators structure and expose functionality as high-level services (e.g., a fast lane or a zero-rated lane), and then let users tailor these services by expressing their own preferences. A critical piece for personalized network services is how do users communicate their preferences to the network. Network cookies, a generic mapping abstraction, provide this user to network interface in a way that is simple yet expressive, respects the tussle between different stakeholders (e.g., users, ISPs, content providers and policymakers) in terms of security, privacy, revocability and authentication, and can be practically deployed in existing networks. Leveraging network cookies and user preferences, I describe a user-focused alternative for the net neutrality debate: Enable fast or zero-rated lanes and allow users to decide which traffic goes over them. Through user studies for zero rating and fast lanes, I demonstrate that user preferences are heavy tailed, and users are willing to express their preferences if there is a simple way to do so. Network cookies allow users to express high level preferences (e.g., prioritize a website or a mobile application) with high accuracy in the presence of encryption and middleboxes. I validate the approach through the design and prototype implementation of Boost, a user-driven fast lane deployed in 160 home networks. The last part of the thesis extends the concept of personalization by enabling a fully personalized network experience: Users define their network properties once (i.e., their WiFi SSID and password, devices, and policies such as QoS and firewalls) and their network follows them wherever they go---at workplace, public hotspots, or a friend's home. Personal WiFi networks provide users with a simplified and consistent experience regardless of how they are connected to the network. I describe the design and prototype implementation of BeHop, a personalized WiFi infrastructure deployed in a student dorm at Stanford University.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2016 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Yiakoumis, Yiannis |
|---|---|
| Associated with | Stanford University, Department of Electrical Engineering. |
| Primary advisor | McKeown, Nick |
| Thesis advisor | McKeown, Nick |
| Thesis advisor | Johari, Ramesh, 1976- |
| Thesis advisor | Katti, Sachin |
| Advisor | Johari, Ramesh, 1976- |
| Advisor | Katti, Sachin |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Yiannis Yiakoumis. |
|---|---|
| Note | Submitted to the Department of Electrical Engineering. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2016. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2016 by Ioannis Yiakoumis
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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