Tong Jin

Affiliations:
  • Rutgers Discovery Informatics Institute, Piscataway, NJ, USA
  • Rutgers University, Piscataway, NJ, USA (PhD)


According to our database1, Tong Jin authored at least 14 papers between 2010 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2020
Towards autonomic data management for staging-based coupled scientific workflows.
J. Parallel Distributed Comput., 2020

2017
In-memory staging and data-centric task placement for coupled scientific simulation workflows.
Concurr. Comput. Pract. Exp., 2017

2016
In-Staging Data Placement for Asynchronous Coupling of Task-Based Scientific Workflows.
Proceedings of the Second International Workshop on Extreme Scale Programming Models and Middleware, 2016

Persistent Data Staging Services for Data Intensive In-situ Scientific Workflows.
Proceedings of the ACM International Workshop on Data-Intensive Distributed Computing, 2016

2015
ActiveSpaces: Exploring dynamic code deployment for extreme scale data processing.
Concurr. Comput. Pract. Exp., 2015

In-situ feature-based objects tracking for data-intensive scientific and enterprise analytics workflows.
Clust. Comput., 2015

Adaptive data placement for staging-based coupled scientific workflows.
Proceedings of the International Conference for High Performance Computing, 2015

Exploring Data Staging Across Deep Memory Hierarchies for Coupled Data Intensive Simulation Workflows.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

2014
Leveraging deep memory hierarchies for data staging in coupled data-intensive simulation workflows.
Proceedings of the 2014 IEEE International Conference on Cluster Computing, 2014

2013
Using cross-layer adaptations for dynamic data management in large scale coupled scientific workflows.
Proceedings of the International Conference for High Performance Computing, 2013

2012
In-situ Feature-Based Objects Tracking for Large-Scale Scientific Simulations.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Combining in-situ and in-transit processing to enable extreme-scale scientific analysis.
Proceedings of the SC Conference on High Performance Computing Networking, 2012

A scalable messaging system for accelerating discovery from large scale scientific simulations.
Proceedings of the 19th International Conference on High Performance Computing, 2012

2010
ParkNet: drive-by sensing of road-side parking statistics.
Proceedings of the 8th International Conference on Mobile Systems, 2010


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