Dazhao Cheng

Orcid: 0000-0003-2869-7623

According to our database¹, Dazhao Cheng authored at least 44 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

A Survey on Spatio-Temporal Big Data Analytics Ecosystem: Resource Management, Processing Platform, and Applications.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, April, 2024

A unified hybrid memory system for scalable deep learning and big data applications.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., April, 2024

2023

An Edge-Side Real-Time Video Analytics System With Dual Computing Resource Control.

[BibT_eX]

[DOI]

IEEE Trans. Computers, December, 2023

TAPU: A Transmission-Analytics Processing Unit for Accelerating Multifunctions in IoT Gateways.

[BibT_eX]

[DOI]

IEEE Internet Things J., October, 2023

Joint Optimization Across Timescales: Resource Placement and Task Dispatching in Edge Clouds.

[BibT_eX]

[DOI]

Xinliang Wei

A. B. M. Mohaimenur Rahman

Dazhao Cheng

Yu Wang

IEEE Trans. Cloud Comput., 2023

DNN Surgery: Accelerating DNN Inference on the Edge Through Layer Partitioning.

[BibT_eX]

[DOI]

IEEE Trans. Cloud Comput., 2023

Dynamic Resource Provisioning for Iterative Workloads on Apache Spark.

[BibT_eX]

[DOI]

Dazhao Cheng

Yu Wang

Dong Dai

IEEE Trans. Cloud Comput., 2023

Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer.

[BibT_eX]

[DOI]

CoRR, 2023

MPipeMoE: Memory Efficient MoE for Pre-trained Models with Adaptive Pipeline Parallelism.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Redundancy-Free High-Performance Dynamic GNN Training with Hierarchical Pipeline Parallelism.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

2022

Joint Optimization of MapReduce Scheduling and Network Policy in Hierarchical Data Centers.

[BibT_eX]

[DOI]

IEEE Trans. Cloud Comput., 2022

BLISS: Robust Sequence-to-Sequence Learning via Self-Supervised Input Representation.

[BibT_eX]

[DOI]

CoRR, 2022

Spread: Decentralized Model Aggregation for Scalable Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 51st International Conference on Parallel Processing, 2022

VCSR: Mutable CSR Graph Format Using Vertex-Centric Packed Memory Array.

[BibT_eX]

[DOI]

Abdullah Al Raqibul Islam

Dong Dai

Dazhao Cheng

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021

Data Life Aware Model Updating Strategy for Stream-Based Online Deep Learning.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2021

Privacy-Preserving Participant Grouping for Mobile Social Sensing Over Edge Clouds.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2021

Tackling Cold Start of Serverless Applications by Efficient and Adaptive Container Runtime Reusing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Cluster Computing, 2021

Scalable Data Management on Hybrid Memory System for Deep Neural Network Applications.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Tackling Cold Start in Serverless Computing with Container Runtime Reusing.

[BibT_eX]

[DOI]

Proceedings of the 2020 Workshop on Network Application Integration/CoDesign, 2020

waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data.

[BibT_eX]

[DOI]

Proceedings of the PPoPP '20: 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020

Mitigating Stragglers in the Decentralized Training on Heterogeneous Clusters.

[BibT_eX]

[DOI]

Donglin Yang

Wei Rang

Dazhao Cheng

Proceedings of the Middleware '20: 21st International Middleware Conference, 2020

Efficient GPU Memory Management for Nonlinear DNNs.

[BibT_eX]

[DOI]

Donglin Yang

Dazhao Cheng

Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

Data Life Aware Model Updating Strategy for Stream-based Online Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Cluster Computing, 2020

A Shared Memory Cache Layer across Multiple Executors in Apache Spark.

[BibT_eX]

[DOI]

Wei Rang

Donglin Yang

Dazhao Cheng

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Deadline-Aware MapReduce Job Scheduling with Dynamic Resource Availability.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2019

Heterogeneity Aware Workload Management in Distributed Sustainable Datacenters.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2019

Elastic Executor Provisioning for Iterative Workloads on Apache Spark.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Adaptive Scheduling Parallel Jobs with Dynamic Batching in Spark Streaming.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2018

Energy Efficiency Aware Task Assignment with DVFS in Heterogeneous Hadoop Clusters.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2018

Performance Isolation of Data-Intensive Scale-out Applications in a Multi-tenant Cloud.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Joint Optimization of MapReduce Scheduling and Network Policy in Hierarchical Clouds.

[BibT_eX]

[DOI]

Donglin Yang

Wei Rang

Dazhao Cheng

Proceedings of the 47th International Conference on Parallel Processing, 2018

Reference-distance Eviction and Prefetching for Cache Management in Spark.

[BibT_eX]

[DOI]

Tiago B. G. Perez

Xiaobo Zhou

Dazhao Cheng

Proceedings of the 47th International Conference on Parallel Processing, 2018

2017

iShuffle: Improving Hadoop Performance with Shuffle-on-Write.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2017

Improving Performance of Heterogeneous MapReduce Clusters with Adaptive Task Tuning.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2017

Cross-Platform Resource Scheduling for Spark and MapReduce on YARN.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 2017

Adaptive scheduling of parallel jobs in spark streaming.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

2016

Elastic Power-Aware Resource Provisioning of Heterogeneous Workloads in Self-Sustainable Datacenters.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 2016

2015

Self-Tuning Batching with DVFS for Performance Improvement and Energy Efficiency in Internet Servers.

[BibT_eX]

[DOI]

ACM Trans. Auton. Adapt. Syst., 2015

Resource and Deadline-Aware Job Scheduling in Dynamic Hadoop Clusters.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

StoreApp: A shared storage appliance for efficient and scalable virtualized Hadoop clusters.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

Towards Energy Efficiency in Heterogeneous Hadoop Clusters by Adaptive Task Assignment.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

2014

Improving MapReduce performance in heterogeneous environments with adaptive task tuning.

[BibT_eX]

[DOI]

Proceedings of the 15th International Middleware Conference, 2014

Heterogeneity-Aware Workload Placement and Migration in Distributed Sustainable Datacenters.

[BibT_eX]

[DOI]

Dazhao Cheng

Changjun Jiang

Xiaobo Zhou

Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

2013

Self-Tuning Batching with DVFS for Improving Performance and Energy Efficiency in Servers.

[BibT_eX]

[DOI]

Dazhao Cheng

Yanfei Guo

Xiaobo Zhou

Proceedings of the 2013 IEEE 21st International Symposium on Modelling, 2013

Dazhao Cheng

Timeline

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