Ensuring Reliability in Geo-Distributed Edge Cloud. In the IEEE Resilience Week on Communication Systems (RW). Wilmington, Delaware. .
Nebula: Distributed Edge Cloud for Data Intensive Computing
IEEE Transactions on Parallel and Distributed Systems (TPDS). Volume 28.
TripS: Automated Multi-tiered Data Placement in a Geo-distributed Cloud Environment
10th ACM International Systems and Storage Conference (SYSTOR).
Trading Timeliness and Accuracy in Geo-Distributed Streaming Analytics In the ACM Symposium on Cloud Computing (SoCC). Santa Clara, California. .
End-to-End Optimization for Geo-Distributed MapReduce In the IEEE Transactions on Cloud Computing (TCC). Volume 4, Issue 3 .
Wiera: Towards Flexible Multi-Tiered Geo-Distributed Cloud Storage Instances
25th International Symposium on High-Performance Parallel and Distributed Computing (HPDC).
Awan: Locality-aware Resource Manager for Geo-distributed Data-intensive Applications. In the IEEE International Conference on Cloud Engineering (IC2E). Berlin, Germany. .
Elastic Job Bundling: An Adaptive Resoure Request Stategy for Larget-Scale Parallel Applications. In the International Conference for High Performance Computing Networking, Storage and Analysis. Austin, TX. .
Enabling Scalable Social Group Analytics via Hypergraph Analysis Systems. In the USENIX Workshop on Hot Topics in Cloud Computing (HotCloud). Santa Clara, CA. .
Optimizing Grouped Aggregation in Geo-Distributed Streaming Analytics. In the ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC). Portland, OR. .
Towards Optimizing Wide-Area Streaming Analytics. In the IEEE Workshop on Cloud Analytics (IWCA), colocated with the IEEE International Conference on Cloud Engineering (IC2E). Tempe, AZ. .
Cloud-Based, User-Centric Mobile Application Optimization In IEEE International Conference on Cloud Engineering (IC2E). Tempe, AZ, March, 2015.
Redefining Data Locality for Cross-Data Center Storage.
End-to-End Optimization for Geo-Distributed MapReduce. In IEEE Transactions on Cloud Computing. .
Tiera: Towards Flexible Multi-Tiered Cloud Storage Instances.
In the Proceedings of the ACM/IFIP/USENIX
Middleware conference (Middleware 2014)
Cross-Phase Optimization in MapReduce. Book chapter in Cloud Computing for Data-Intensive Applications. Springer. .
Exploiting User Interest in Data-Driven Cloud-based Mobile Optimization. In the Proceedings of the Second IEEE International Conference on Mobile Cloud Computing, Services, and Engineering. Oxford, UK. .
Nebula: Distributed Edge Cloud for Data Intensive Computing. In the Proceedings of the IEEE International Conference on Cloud Engineering. Boston, MA. .
Decentralized Edge Clouds. IEEE Internet Computing. .
Wide-area Streaming Analytics: Distributing the Data Cube. Poster Paper in the Proceedings of the ACM Symposium on Cloud Computing (SoCC). Santa Clara, CA, . Awarded Best Student Poster.
Beyond Graphs: Toward Scalable Hypergraph Analysis Systems In the ACM Sigmetrics Big Data Analytics Workshop. Pittsburgh, PA. .
Accelerating Distributed Workflows With Edge Resources. the Second International Workshop on Workflow Models, Systems, Services and Applications in the Cloud (CloudFlow). Boston, MA. .
Cross-phase Optimization in MapReduce. In the Proceedings of the IEEE International Conference on Cloud Engineering (IC2E). Redwood City, CA. .
Improving MapReduce Performance in Highly Distributed Environments using End-to-End Optimization. Poster at the USENIX Symposium on Operating Systems Design and Implementation (OSDI). Hollywood, CA .
Sharing-aware Cloud-based Mobile Outsourcing. In the Proceedings of the IEEE Fifth International Conference on Cloud Computing. Honolulu, HI. .
Optimizing MapReduce for Highly Distributed Environments. Technical Report 12-003. Department of Computer Science & Engineering, University of Minnesota. .
Early Experience with the Distributed Nebula Cloud 4th International Workshop of Data-Intensive Computing (DIDC with HPDC). .
Mobilizing the Cloud: Enabling Multi-User Mobile Outsourcing in the Cloud. Technical Report 11-029. Department of Computer Science & Engineering, University of Minnesota. .
Exploring MapReduce Efficiency with Highly-Distributed Data. In the Proceedings of the Second International Workshop on MapReduce and its Applications (MAPREDUCE). San Jose, CA. .