Intel

Rise of Web-based Computing Trends on the Client Side

Data and user activity and trends can help in improving future CPU development. The student team studied and compared the trends of native apps versus web-based apps and their impact on client resource utilization based on user-web activity interaction matrix. The team studied "progressive web apps," "hybrid web apps," and "pure web apps." Finally, the team analyzed the correlation of these trends in relation to processor metrics such as page faults, power consumption, browser and parent category usages, etc.

Faculty Adviser

Payman Arabshahi, Associate Professor, UW ECE, Electrical & Computer Engineering

Arindam Das, Affiliate Associate Professor, Electrical & Computer Engineering

Students

Andrew Hadimaja
Ayush Singh
Furion Liu
Ishmeet Singh
Peter Lam

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