Yong Zhao

  • University of Electronical Science & Technology of China, Chengdu, China
  • University of Chicago, Department of Computer Science, IL, USA (former)

According to our database1, Yong Zhao authored at least 43 papers between 2002 and 2017.

Collaborative distances:



In proceedings 
PhD thesis 


On csauthors.net:


Understanding the Performance and Potential of Cloud Computing for Scientific Applications.
IEEE Trans. Cloud Comput., 2017

A Service Framework for Scientific Workflow Management in the Cloud.
IEEE Trans. Serv. Comput., 2015

A Toolkit for Modeling and Simulation of Real-Time Virtual Machine Allocation in a Cloud Data Center.
IEEE Trans Autom. Sci. Eng., 2015

Enabling scalable scientific workflow management in the Cloud.
Future Gener. Comput. Syst., 2015

Devising a Cloud Scientific Workflow Platform for Big Data.
Proceedings of the 2014 IEEE World Congress on Services, 2014

Prepartition: A new paradigm for the load balance of virtual machine reservations in data centers.
Proceedings of the IEEE International Conference on Communications, 2014

Big Data Processing with Probabilistic Latent Semantic Analysis on MapReduce.
Proceedings of the 2014 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2014

Architecting Cloud Workflow: Theory and Practice.
Proceedings of the 14th IEEE International Conference on Computer and Information Technology, 2014

Migrating Scientific Workflow Management Systems from the Grid to the Cloud.
Proceedings of the Cloud Computing for Data-Intensive Applications, 2014

RAS: A Task Scheduling Algorithm Based on Resource Attribute Selection in a Task Scheduling Framework.
Proceedings of the Internet and Distributed Computing Systems, 2013

CloudFlow Introduction.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

Designing and Deploying a Scientific Computing Cloud Platform.
Proceedings of the 13th ACM/IEEE International Conference on Grid Computing, 2012

Scientific-Workflow-Management-as-a-Service in the Cloud.
Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012

Guest Editors' Introduction: Special Section on Many-Task Computing.
IEEE Trans. Parallel Distributed Syst., 2011

Opportunities and Challenges in Running Scientific Workflows on the Cloud.
Proceedings of the 2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2011

A dynamic and integrated load-balancing scheduling algorithm for Cloud datacenters.
Proceedings of the 2011 IEEE International Conference on Cloud Computing and Intelligence Systems, 2011

Middleware support for many-task computing.
Clust. Comput., 2010

Cloud Computing and Grid Computing 360-Degree Compared
CoRR, 2009

The quest for scalable support of data-intensive workloads in distributed systems.
Proceedings of the 18th ACM International Symposium on High Performance Distributed Computing, 2009

Realizing Fast, Scalable and Reliable Scientific Computations in Grid Environments
CoRR, 2008

Accelerating Large-scale Data Exploration through Data Diffusion
CoRR, 2008

Scientific Workflow Systems for 21st Century e-Science, New Bottle or New Wine?
CoRR, 2008

Data Diffusion: Dynamic Resource Provision and Data-Aware Scheduling for Data Intensive Applications
CoRR, 2008

Special Issue: The First Provenance Challenge.
Concurr. Comput. Pract. Exp., 2008

Tracking provenance in a virtual data grid.
Concurr. Comput. Pract. Exp., 2008

Scientific Workflow Systems for 21st Century, New Bottle or New Wine?
Proceedings of the 2008 IEEE Congress on Services, Part I, 2008

Many-task computing for grids and supercomputers.
Proceedings of the 2008 Workshop on Many-Task Computing on Grids and Supercomputers, 2008

A Logic Programming Approach to Scientific Workflow Provenance Querying.
Proceedings of the Provenance and Annotation of Data and Processes, 2008

Falkon: a Fast and Light-weight tasK executiON framework.
Proceedings of the ACM/IEEE Conference on High Performance Networking and Computing, 2007

Accelerating Medical Research using the Swift Workflow System.
Proceedings of the From Genes to Personalized HealthCare: Grid Solutions for the Life Sciences, 2007

Swift: Fast, Reliable, Loosely Coupled Parallel Computation.
Proceedings of the 2007 IEEE International Conference on Services Computing, 2007

Virtual Data Language: A Typed Workflow Notation for Diversely Structured Scientific Data.
Proceedings of the Workflows for e-Science, Scientific Workflows for Grids., 2007

The QuarkNet/Grid Collaborative Learning e-Lab.
Future Gener. Comput. Syst., 2006

Virtual data Grid middleware services for data-intensive science.
Concurr. Comput. Pract. Exp., 2006

Applying the Virtual Data Provenance Model.
Proceedings of the Provenance and Annotation of Data, 2006

A notation and system for expressing and executing cleanly typed workflows on messy scientific data.
SIGMOD Rec., 2005

The QuarkNet/Grid Collaborative Learning e-Lab
CoRR, 2005

XDTM: The XML Data Type and Mapping for Specifying Datasets.
Proceedings of the Advances in Grid Computing, 2005

Grid middleware services for virtual data discovery, composition, and integration.
Proceedings of the 2nd Workshop on Middleware for Grid Computing, 2004

The Grid2003 Production Grid: Principles and Practice.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
Proceedings of the 13th International Symposium on High-Performance Distributed Computing (HPDC-13 2004), 2004

The Virtual Data Grid: A New Model and Architecture for Data-Intensive Collaboration.
Proceedings of the First Biennial Conference on Innovative Data Systems Research, 2003

Chimera: AVirtual Data System for Representing, Querying, and Automating Data Derivation.
Proceedings of the 14th International Conference on Scientific and Statistical Database Management, 2002

Applying Chimera virtual data concepts to cluster finding in the Sloan Sky Survey.
Proceedings of the 2002 ACM/IEEE conference on Supercomputing, 2002