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Xiaoning Ding
Researcher at New Jersey Institute of Technology
Publications - 68
Citations - 2397
Xiaoning Ding is an academic researcher from New Jersey Institute of Technology. The author has contributed to research in topics: Cloud computing & Cache. The author has an hindex of 23, co-authored 64 publications receiving 2268 citations. Previous affiliations of Xiaoning Ding include University Heights, Newark & College of William & Mary.
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Journal ArticleDOI
APPLES: Efficiently Handling Spin-lock Synchronization on Virtualized Platforms
TL;DR: A framework named AdPtive Pause-Loop Exiting and Scheduling (APPLES) is proposed, which monitors the overhead caused by excessive spinning and preempting spinning VCPUs, and periodically adjusts spinning thresholds to reduce the overhead.
Journal ArticleDOI
Virtualization Overhead of Multithreading in X86 State-of-the-Art & Remaining Challenges
TL;DR: The virtualization overhead of the PARSEC and SPLASH2X multithreaded benchmarks is studied in a variety of scenarios using a state-of-the-art system, aiming to provide a valuable reference to developers and users of virtualization systems alike.
Proceedings ArticleDOI
Multi-destination vehicular route planning with parking and traffic constraints
TL;DR: A novel Multi-Destination Vehicle Route Planning (MDVRP) system to optimize the travel time for all drivers that uses TDTSP-FPA, an algorithm that finds the fastest route to the next destination and also assigns free curbside parking spaces that minimize the totalTravel time for drivers.
Proceedings ArticleDOI
Bootstrapping in-situ workflow auto-tuning via combining performance models of component applications
TL;DR: In this paper, the authors combine the performance models of component applications by exploiting the analytical workflow structure, selectively generating test configurations to measure and guide the training of a machine learning workflow surrogate model.
Journal ArticleDOI
A General Approach to Scalable Buffer Pool Management
TL;DR: A system framework, called BP-Wrapper, is designed that eliminates almost all lock contention without requiring any changes to an existing algorithm, and uses a dynamic batching technique and a prefetching technique to reduce lock contention and to retain high hit ratio.