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We are developing MicroLambda - a Mobile Edge Computing framework to offload computation over multiple lambda invocations to fit within task runtimes on Mixed Reality Environment.
August 2019 - present
- Research Assistant
- To achieve immersion, Mixed Reality (MR) applications need to strict QoS requirements. While Mobile Edge Computing (MEC) provides such nodes in close network proximity, MEC nodes may be oversubscribed. To ensure fairness, MEC systems enforce runtime limits on computing tasks. We propose MicroLambda - a framework to offload computation over multiple lambda invocations to fit within task runtimes.
August 2018 - present
Immersive technologies enable Mixed Reality (MR), a form of spatial computing to blur the physical and digital creating a sense or presence. MR is well-positioned to be the next dis-ruptive technology changing the way we work, live, think, and behave. MR over Mobile Edge Computing (MEC)/5G faces two unsolved challenges. The first is how to execute...
Mobile applications may want to offload heavy processing jobs to more powerful nodes. Mobile Edge Computing (MEC) can provide low latency and fast processing for the offloaded jobs. Due to the limited capacity of MEC, an efficient checkpointing mechanism can provide fair resource sharing among offloaded jobs by interrupting them as necessary. It is...
Users want websites to deliver rich content quickly. However, rich content often comes from separate subdomains and requires additional DNS lookups, which negatively impact web performance metrics such as First Meaningful Paint Time, Page Load Time, and the Speed Index. In this paper we investigate the impact of DNS lookups on web performance and p...
In recent times, there has been a significant growth in the number of smartphone users and number and types of mobile applications (apps). Such a trend has resulted in increased Internet data consumption, particularly for users of ?data hungry? apps. Thus, smartphone apps should be allocated to their required budget to minimize resource wastage wit...
Augmenting Human Cognition with Collaborative Robots (AMELIA: AugMEnted Learning InnovAtion): Collaborative robotics is a growing application space in robot technology used in manufacturing, mining, construction, and energy industrial settings. This convergence research project will contribute new knowledge and theory of Human-Computer Interaction and Human-Robot Interaction, by augmenting human cognition for safer and more efficient collaborative robot interaction.