Efficient Transmission and Reconstruction of Dependent Data Streams via Edge Sampling
In Proceedings of the
IEEE IC2E 2022,
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Towards Elasticity in Heterogeneous Edge-dense Environments
In Proceedings of the
IEEE ICDCS 2022,
Bologna, Italy,
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HACCS: Heterogeneity-Aware Clustered Client Selection for Accelerated Federated Learning
In Proceedings of the
IEEE IPDPS 2022,
Virtual,
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AggNet: Cost-Aware Aggregation Networks for Geo-distributed Streaming Analytics.
In Proceedings of the
ACM/IEEE SEC 2021,
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Armada: A Robust Latency-Sensitive Edge Cloud in Heterogeneous Edge-Dense Environments
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Accelerated Training via Device Similarity in Federated Learning.
In Proceedings of the
EdgeSys 2020,
Edinburgh, Scotland, UK,
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WASP: Wide-area Adaptive Stream Processing.
In Proceedings of the
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Towards a Robust Edge-Native Storage System.
In Proceedings of the
Fifth ACM/IEEE Symposium on Edge Computing (SEC),
Virtual,
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Data-Aware Edge Sampling for Aggregate Query Approximation.
Poster in the
Fifth ACM/IEEE Symposium on Edge Computing (SEC),
Virtual,
.
Best Poster Award.
Exploiting Data Heterogeneity for Performance and Reliability in Federated Learning.
Poster in the
Fifth ACM/IEEE Symposium on Edge Computing (SEC),
Virtual,
.
A Network Cost-aware Geo-distributed Data Analytics System.
In Proceedings of the
20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid),
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Wiera: Policy-Driven Multi-Tiered Geo-Distributed Cloud Storage System.
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A TTL-based Approach for Data Aggregation in Geo-distributed Streaming Analytics.
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ACM SIGMETRICS/IFIP Performance.
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An Edge-based Framework for Cooperation in Internet of Things Applications.
In the
USENIX Workshop on Hot Topics in Edge Computing (HotEdge)
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DeCaf: Iterative Collaborative Processing over the Edge.
In the
USENIX Workshop on Hot Topics in Edge Computing (HotEdge)
Renton, WA.
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DLion: Decentralized Distributed Deep Learning in Micro-Clouds
In the
USENIX Workshop on Hot Topics in Cloud Computing (HotCloud).
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MESH: A Flexible Distributed Hypergraph Processing System.
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Prague, Czech Republic
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[Extended technical report in arXiv]
[Project home]
[Github]
Decentralized Distributed Deep Learning in Heterogeneous WAN Environments.
Poster at the
ACM Symposium on Cloud Computing (SoCC).
Carlsbad, CA.
.
[Poster]
TTL-based Approach for Data Aggregation in Geo-Distributed Streaming Analytics
Poster at the
USENIX Symposium on Operating Systems Design and Implementation (OSDI).
Carlsbad, CA.
.
Multi-Query Optimization in Wide-Area Streaming Analytics.
In the
ACM Symposium on Cloud Computing (SoCC).
Carlsbad, CA.
.
Dynamically Negotiating Capacity between On-Demand and Batch Clusters.
In the
International Conference for High Performance Computing, Networking, Storage, and Analysis (SC).
Dallas, TX.
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Rethinking Adaptability in Wide-Area Stream Processing Systems.
In the
USENIX Workshop on Hot Topics in Cloud Computing (HotCloud).
Boston, MA.
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Locality-Aware Load Sharing in Mobile Cloud Computing.
In the
IEEE/ACM International Conference on Utility and Cloud Computing (UCC).
Austin, TX.
.
Ensuring Reliability in Geo-Distributed Edge Cloud.
In the
IEEE Symposium on Resilience Communication Systems (Resilience W).
Wilmington, DE.
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Nebula: Distributed Edge Cloud for Data Intensive Computing
In the
IEEE Transactions on Parallel and Distributed Systems (TPDS). Volume 28.
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TripS: Automated Multi-tiered Data Placement in a Geo-distributed Cloud Environment
In the
10th ACM International Systems and Storage Conference (SYSTOR).
Haifa, Israel.
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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
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Wiera: Towards Flexible Multi-Tiered Geo-Distributed Cloud Storage Instances
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Kyoto, Japan.
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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.
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Cloud-Based, User-Centric Mobile Application Optimization
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IEEE International Conference on Cloud Engineering (IC2E). Tempe, AZ, March, 2015.
Redefining Data Locality for Cross-Data Center Storage.
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End-to-End Optimization for Geo-Distributed MapReduce.
In
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Tiera: Towards Flexible Multi-Tiered Cloud Storage Instances.
In the Proceedings of the ACM/IFIP/USENIX
Middleware conference (Middleware 2014)
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Cross-Phase Optimization in MapReduce.
Book chapter in
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Springer.
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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.
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Nebula: Distributed Edge Cloud for Data Intensive Computing.
In the Proceedings of the
IEEE International Conference on Cloud Engineering.
Boston, MA.
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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.
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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).
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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. .