18 citations · 51 across the 7 of their papers we have counts for
7 papers
SWAM: Revisiting Swap and OOMK for Improving Application Responsiveness on Mobile Devices
Geunsik Lim, Donghyun Kang, MyungJoo Ham +1
Existing memory reclamation policies on mobile devices may be no longer valid because they have negative effects on the response time of running applications. In this paper, we pro…
Enhancing Application Performance by Memory Partitioning in Android Platforms
Geunsik Lim, Changwoo Min, Young Ik Eom
This paper suggests a new memory partitioning scheme that can enhance process lifecycle, while avoiding Low Memory Killer and Out-of-Memory Killer operations on mobile devices. Our…
Distributed Compilation System for High-Speed Software Build Processes
Geunsik Lim, Minho Lee, R. J. W. E. Lahaye +1
The idle time of personal computers has increased steadily due to the generalization of computer usage and cloud computing. Clustering research aims at utilizing idle computer reso…
User-Aware Power Management for Mobile Devices
Geunsik Lim, Changwoo Min, Dong Hyun Kang +1
The power management techniques to extend battery lifespan is becoming increasingly important due to longer user applications' running time in mobile devices. Even when users do no…
Virtual Memory Partitioning for Enhancing Application Performance in Mobile Platforms
Geunsik Lim, Changwoo Min, Young Ik Eom
Recently, the amount of running software on smart mobile devices is gradually increasing due to the introduction of application stores. The application store is a type of digital d…
Load-Balancing for Improving User Responsiveness on Multicore Embedded Systems
Geunsik Lim, Changwoo Min, YoungIk Eom
Most commercial embedded devices have been deployed with a single processor architecture. The code size and complexity of applications running on embedded devices are rapidly incre…
Thread Evolution Kit for Optimizing Thread Operations on CE/IoT Devices
Geunsik Lim, Donghyun Kang, Young Ik Eom
Most modern operating systems have adopted the one-to-one thread model to support fast execution of threads in both multi-core and single-core systems. This thread model, which map…