Research
The overarching goal of our research is to build fundamentally fast, scalable, cost-effective, and consistent systems that will have a positive impact on human lives and society
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Research Area and Main Achievements
Research Area and Main Achievements
Research Question: Current Systems can fully exploit Hardware Resources?
ScaleCache: A Scalable Page Cache for Multiple Solid-State Drives
ScaleCache: A Scalable Page Cache for Multiple Solid-State Drives
ScaleCache: A concurrent and parallel page cache to scale I/O performance on multiple SSDs
Devising concurrent XArray to enable lock-free data structure of page cache
Devising direct page flush (dflush) to enable parallel I/O operations
Towards HPC I/O Performance Prediction through Large-scale Log Analysis
Towards HPC I/O Performance Prediction through Large-scale Log Analysis
Big data analysis of a large-scale production HPC system
Found strong correlation using various correlation analysis algorithms
Proposed a prediction scheme using machine learning approaches such as random forest and CNN
Virtual Machine Scheduling for Unreal Engine based Applications Using Google Cloud Platform (GCP) with OLIMPLANET
Virtual Machine Scheduling for Unreal Engine based Applications Using Google Cloud Platform (GCP) with OLIMPLANET
Streaming Service for New House Using Unreal Engine and Virtual Machine
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