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Birjodh Tiwana
Researcher at LinkedIn
Publications - 12
Citations - 1628
Birjodh Tiwana is an academic researcher from LinkedIn. The author has contributed to research in topics: Network topology & Web navigation. The author has an hindex of 4, co-authored 12 publications receiving 1580 citations. Previous affiliations of Birjodh Tiwana include Microsoft & University of Michigan.
Papers
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Proceedings ArticleDOI
Accurate online power estimation and automatic battery behavior based power model generation for smartphones
TL;DR: PowerBooter is an automated power model construction technique that uses built-in battery voltage sensors and knowledge of battery discharge behavior to monitor power consumption while explicitly controlling the power management and activity states of individual components.
Proceedings ArticleDOI
Anatomizing application performance differences on smartphones
TL;DR: This work identifies and study important factors that impact user-perceived performance of network applications on smartphones, and develops a systematic methodology for comparing this performance along several key dimensions such as carrier networks, device capabilities, and server configurations.
Proceedings ArticleDOI
Location, location, location!: modeling data proximity in the cloud
TL;DR: Contour is described, a system that allows applications to query and manipulate the location of data without requiring them to be aware of the physical machines storing the data, the replication protocols used or the underlying network topology.
Patent
Selecting computing nodes in cloud service using replication topologies
TL;DR: In this paper, a cloud statistics server generates statistics for a cloud service based on an identified data item and an identified operation and the cloud service is implemented as a directed graph with edge weights corresponding to expected transfer times between each node.
Proceedings ArticleDOI
Ads Allocation in Feed via Constrained Optimization
TL;DR: This paper describes how large-scale recommender system like feed ranking works, and why it is useful to consider ads allocation as a post-operation once the ranking of organic items and (separately) theranking of ads are done.