Jiangling Yin

According to our database1, Jiangling Yin authored at least 26 papers between 2013 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Enhancing Proportional IO Sharing on Containerized Big Data File Systems.
IEEE Trans. Computers, 2021

2020
ODDS: Optimizing Data-Locality Access for Scientific Data Analysis.
IEEE Trans. Cloud Comput., 2020

2019
An I/O Efficient Distributed Approximation Framework Using Cluster Sampling.
IEEE Trans. Parallel Distributed Syst., 2019

2018
G-SD: Achieving Fast Reverse Lookup using Scalable Declustering Layout in Large-Scale File Systems.
IEEE Trans. Cloud Comput., 2018

Achieving Load Balance for Parallel Data Access on Distributed File Systems.
IEEE Trans. Computers, 2018

Speed Up Big Data Analytics by Unveiling the Storage Distribution of Sub-Datasets.
IEEE Trans. Big Data, 2018

2017
Deister: A light-weight autonomous block management in data-intensive file systems using deterministic declustering distribution.
J. Parallel Distributed Comput., 2017

SideIO: A Side I/O system framework for hybrid scientific workflow.
J. Parallel Distributed Comput., 2017

2016
Sapprox: Enabling Efficient and Accurate Approximations on Sub-datasets with Distribution-aware Online Sampling.
Proc. VLDB Endow., 2016

DataNet: A Data Distribution-Aware Method for Sub-Dataset Analysis on Distributed File Systems.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

Accelerating I/O Performance of SVM on HDFS.
Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016

Taming Big Data Scheduling with Locality-Aware Scheduling.
Proceedings of the International Conference on Advanced Cloud and Big Data, 2016

2015
PERP: Attacking the balance among energy, performance and recovery in storage systems.
J. Parallel Distributed Comput., 2015

Deister: A Light-Weight Autonomous Block Management in Data-Intensive File Systems Using Deterministic Declustering Distribution.
Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

Experiences in using os-level virtualization for block I/O.
Proceedings of the 10th Parallel Data Storage Workshop, 2015

Opass: Analysis and Optimization of Parallel Data Access on Distributed File Systems.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

UNIO: A Unified I/O System Framework for Hybrid Scientific Workflow.
Proceedings of the Cloud Computing and Big Data, 2015

Optimize Parallel Data Access in Big Data Processing.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

2014
SDAFT: A novel scalable data access framework for parallel BLAST.
Parallel Comput., 2014

Reliability Analysis on Shifted and Random Declustering Block Layouts in Scale-Out Storage Architectures.
Proceedings of the 9th IEEE International Conference on Networking, 2014

On Balance among Energy, Performance and Recovery in Storage Systems.
Proceedings of the 34th International Conference on Distributed Computing Systems Workshops (ICDCS 2014 Workshops), Madrid, Spain, June 30, 2014

ScalScheduling: A Scalable Scheduling Architecture for MPI-based interactive analysis programs.
Proceedings of the 23rd International Conference on Computer Communication and Networks, 2014

SLAM: scalable locality-aware middleware for I/O in scientific analysis and visualization.
Proceedings of the 23rd International Symposium on High-Performance Parallel and Distributed Computing, 2014

DRAW: A New Data-gRouping-AWare Data Placement Scheme for Data Intensive Applications with Interest Locality.
Proceedings of the Cloud Computing for Data-Intensive Applications, 2014

2013
OBST-based segmentation approach to financial time series.
Eng. Appl. Artif. Intell., 2013

DL-MPI: Enabling data locality computation for MPI-based data-intensive applications.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013


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