MAUI supports fine-grained code offload to maximize energy savings with minimal burden on the programmer, and decides at run-time which methods should be remotely executed, driven by an optimization engine that achieves the best energy savings possible under the mobile device's current connectivity constrains.
Outatime is presented, a speculative execution system for mobile cloud gaming that is able to mask up to 120ms of network latency, and is found that players strongly prefer Outatime to traditional thin-client gaming where the network RTT is fully visible, and that Outatimes successfully mimics playing across a low-latency network.
Kahawai is a system that provides high-quality gaming on mobile devices, such as tablets and smartphones, by offloading a portion of the GPU computation to server-side infrastructure by using collaborative rendering to combine the output of a mobile GPU and a server- side GPU into the displayed output.
FLASHBACK is presented, an unorthodox design point for HMD VR that eschews all real-time scene rendering and aggressively precomputes and caches all possible images that a VR user might encounter, and delivers better framerates and responsiveness than a tethered HMD configuration on graphically complex scenes.
This study indicates that while display technology will be capable of Life-Like VR, rendering computation is likely to be the key bottleneck and current wireless and compression technology may not be sufficient to accommodate the bandwidth and latency requirements.
This document discusses mobile-rendered Virtual Reality head-mounted displays (HMDs), which are self-contained, untethered HMDs that run on mobile phones slotted into head mounts, e.g., Google Cardboard and Samsung Gear VR.
CrowdLab allows researchers to run guest virtual machines on volunteer mobile nodes and ensures efficient use of testbed resources through a new dual-mode networking abstraction and a weakly-consistent, replicated state store called a site directory.
The design and implementation of ScreenPass is described, which significantly improves the security of passwords on touchscreen devices and secures passwords by ensuring that they are entered securely, and uses taint-tracking to monitor where apps send password data.
This work presents DeLorean a system that delivers real-time gaming interactivity as fast as traditional local client-side execution, despite with network latencies, and develops a Markovbased prediction model that examines recent user input to forecast expected future input.
A novel server‐side dual‐view representation is proposed that leverages an optimally‐placed extra view and depth peeling to provide the client with coverage for filling disocclusion holes and compares favorably to competing approaches according to perceptual and numerical comparisons.