Owl: Scale and Flexibility in Distribution of Hot Content | 0 | 0.34 | 2022 |
Debugging the OmniTable Way | 0 | 0.34 | 2022 |
Log-structured Protocols in Delos | 0 | 0.34 | 2021 |
Virtual Consensus In Delos | 0 | 0.34 | 2020 |
Accelerating Applications in the Fast-moving Devices with Proactive Provisioning | 0 | 0.34 | 2019 |
ShortCut: accelerating mostly-deterministic code regions | 0 | 0.34 | 2019 |
The Case for Determinism on the Edge. | 0 | 0.34 | 2019 |
You Can'T Debug What You Can'T See: Expanding Observability With The Omnitable | 0 | 0.34 | 2019 |
RAVEN: Improving Interactive Latency for the Connected Car. | 1 | 0.39 | 2018 |
Optimistic Hybrid Analysis: Accelerating Dynamic Analysis through Predicated Static Analysis. | 3 | 0.37 | 2018 |
Sledgehammer: Cluster-Fueled Debugging. | 0 | 0.34 | 2018 |
Gremlin: scheduling interactions in vehicular computing. | 1 | 0.34 | 2017 |
Poster: Redundancy Aided Vehicular Networking. | 0 | 0.34 | 2017 |
Knockoff: Cheap Versions in the Cloud. | 1 | 0.34 | 2017 |
Cyber Foraging: Fifteen Years Later. | 0 | 0.34 | 2017 |
DQBarge: Improving Data-Quality Tradeoffs in Large-Scale Internet Services. | 2 | 0.36 | 2016 |
JetStream: Cluster-Scale Parallelization of Information Flow Queries. | 3 | 0.40 | 2016 |
Poster Abstract: Reducing Tail Response Time of Vehicular Applications | 0 | 0.34 | 2016 |
Toward Eidetic Distributed File Systems | 0 | 0.34 | 2015 |
Tango: Accelerating Mobile Applications through Flip-Flop Replication. | 0 | 0.34 | 2015 |
Accelerating Mobile Applications through Flip-Flop Replication | 27 | 0.91 | 2015 |
The Case for Operating System Management of User Attention | 8 | 0.53 | 2015 |
Outatime: Using Speculation to Enable Low-Latency Continuous Interaction for Mobile Cloud Gaming | 57 | 2.39 | 2015 |
The mystery machine: end-to-end performance analysis of large-scale internet services | 44 | 1.15 | 2014 |
Demo: DeLorean: using speculation to enable low-latency continuous interaction for mobile cloud gaming | 8 | 0.67 | 2014 |
The future is cloudy: Reflecting prediction error in mobile applications | 1 | 0.39 | 2014 |
Eidetic systems | 1 | 0.35 | 2014 |
Race detection for event-driven mobile applications | 52 | 1.32 | 2014 |
...And Region Serializability for All. | 10 | 0.43 | 2013 |
AMC: verifying user interface properties for vehicular applications | 29 | 1.21 | 2013 |
Parallelizing data race detection | 19 | 0.58 | 2013 |
Informed mobile prefetching | 42 | 1.65 | 2012 |
DoublePlay: Parallelizing Sequential Logging and Replay | 59 | 1.54 | 2012 |
Introduction to the special issue USENIX FAST 2012. | 0 | 0.34 | 2012 |
X-ray: automating root-cause diagnosis of performance anomalies in production software | 71 | 1.76 | 2012 |
Chimera: hybrid program analysis for determinism | 35 | 0.86 | 2012 |
Can deterministic replay be an enabling tool for mobile computing? | 11 | 0.87 | 2011 |
Detecting and surviving data races using complementary schedules | 44 | 1.07 | 2011 |
Operating system support for application-specific speculation | 7 | 0.57 | 2011 |
Automating Configuration Troubleshooting with ConfAid. | 0 | 0.34 | 2011 |
Guest Editorial: Special Section on Papers from MobiSys 2009 | 0 | 0.34 | 2010 |
Automating configuration troubleshooting with dynamic information flow analysis | 65 | 1.97 | 2010 |
quFiles: The right file at the right time | 14 | 0.86 | 2010 |
TrapperKeeper: the case for using virtualization to add type awareness to file systems | 1 | 0.35 | 2010 |
Intentional networking: opportunistic exploitation of mobile network diversity | 58 | 2.42 | 2010 |
Proceedings of the 7th International Conference on Mobile Systems, Applications, and Services (MobiSys 2009), Kraków, Poland, June 22-25, 2009 | 25 | 4.75 | 2009 |
The case for intentional networking | 0 | 0.34 | 2009 |
Automatically generating predicates and solutions for configuration troubleshooting | 4 | 0.45 | 2009 |
Tolerating latency in replicated state machines through client speculation | 24 | 0.89 | 2009 |
Using causality to diagnose configuration bugs | 22 | 1.03 | 2008 |