Jerry Chou

Orcid: 0000-0001-7851-1140

Affiliations:
  • National Tsing Hua University, Department of Computer Science, Hsinchu, Taiwan


According to our database1, Jerry Chou authored at least 77 papers between 2003 and 2024.

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Bibliography

2024
CacheFlow: Enhancing Data Flow Efficiency in Serverless Computing by Local Caching.
Proceedings of the 14th International Conference on Cloud Computing and Services Science, 2024

2023
Dynamic Resource Management for Machine Learning Pipeline Workloads.
SN Comput. Sci., September, 2023

Gemini: Enabling Multi-Tenant GPU Sharing Based on Kernel Burst Estimation.
IEEE Trans. Cloud Comput., 2023

PHY: A performance-driven hybrid communication compression method for distributed training.
J. Parallel Distributed Comput., 2023

Towards Serverless Optimization with In-place Scaling.
CoRR, 2023

Optimal Static Bidding Strategy for Running Jobs with Hard Deadline Constraints on Spot Instances.
Proceedings of the 13th International Conference on Cloud Computing and Services Science, 2023

2022
CAMIRA: a consolidation-aware migration avoidance job scheduling strategy for virtualized parallel computing clusters.
J. Supercomput., 2022

Optimization of multi-class 0/1 knapsack problem on GPUs by improving memory access efficiency.
J. Supercomput., 2022

Performance benchmarking and auto-tuning for scientific applications on virtual cluster.
J. Supercomput., 2022

ALBERT: An automatic learning based execution and resource management system for optimizing Hadoop workload in clouds.
J. Parallel Distributed Comput., 2022

Accelerate Incremental TSP Algorithms on Time Evolving Graphs with Partitioning Methods.
Algorithms, 2022

A Reservation-Based List Scheduling for Embedded Systems with Memory Constraints.
Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2022

A Locality-aware Cooperative Distributed Memory Caching for Parallel Data Analytic Applications.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

SNTA'22: The 5th Workshop on Systems and Network Telemetry and Analytics.
Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022

HPA: Hierarchical Placement Algorithm for Multi-Cloud Microservices Applications.
Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2022

2021
Critique of "Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility" by SCC Team From National Tsing Hua University.
IEEE Trans. Parallel Distributed Syst., 2021

Distributed and incremental travelling salesman algorithm on time-evolving graphs.
J. Supercomput., 2021

MIRAGE: A consolidation aware migration avoidance genetic job scheduling algorithm for virtualized data centers.
J. Parallel Distributed Comput., 2021

A Hybrid Virtual Network Function Placement Strategy for Maximizing the Profit of Network Service Deployment Over Time-Varying Workloads.
IEEE Access, 2021

Reconfiguration Aware Orchestration for Network Function Virtualization With Time-Varied Workload in Virtualized Datacenters.
IEEE Access, 2021

A Hybrid Virtual Network Function Placement Strategy for Maximizing the Profit of Network Service Deployment over Dynamic Workload.
Proceedings of the SNTA@HPDC 2021: Proceedings of the 2021 on Systems and Network Telemetry and Analytics, 2021

Evaluations of Network Performance Enhancement on Cloud-native Network Function.
Proceedings of the SNTA@HPDC 2021: Proceedings of the 2021 on Systems and Network Telemetry and Analytics, 2021

Recent Advances and Future Challenges for Network Function Virtualization Infrastructure.
Proceedings of the SNTA@HPDC 2021: Proceedings of the 2021 on Systems and Network Telemetry and Analytics, 2021

A Deep Reinforcement Learning Method for Solving Task Mapping Problems with Dynamic Traffic on Parallel Systems.
Proceedings of the HPC Asia 2021: The International Conference on High Performance Computing in Asia-Pacific Region, 2021

DynamoML: Dynamic Resource Management Operators for Machine Learning Workloads.
Proceedings of the 11th International Conference on Cloud Computing and Services Science, 2021

2020
A survey of computation techniques on time evolving graphs.
Int. J. Big Data Intell., 2020

KubeShare: A Framework to Manage GPUs as First-Class and Shared Resources in Container Cloud.
Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

Finding the Optimal Reconfiguration for Network Function Virtualization Orchestration with Time-varied Workload.
Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics, 2020

ECS2: A Fast Erasure Coding Library for GPU-Accelerated Storage Systems with Parallel & Direct IO.
Proceedings of the IEEE International Conference on Cluster Computing, 2020

2019
Student Cluster Competition 2018, team NTHU: Reproducing performance of multi-physics simulations of the tsunamigenic 2004 sumatra megathrust earthquake on the Intel Skylake architecture.
Parallel Comput., 2019

Unsupervised Online Anomaly Detection on Multivariate Sensing Time Series Data for Smart Manufacturing.
Proceedings of the 12th IEEE Conference on Service-Oriented Computing and Applications, 2019

DRAGON: A Dynamic Scheduling and Scaling Controller for Managing Distributed Deep Learning Jobs in Kubernetes Cluster.
Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019

2018
Student cluster competition 2017, team NTHU: Reproducing vectorization of the tersoff multi-body potential on the Intel Skylake and Nvidia P100 architecture.
Parallel Comput., 2018

GEODIS: towards the optimization of data locality-aware job scheduling in geo-distributed data centers.
Computing, 2018

A Computation Workload Characteristic Study of C-RAN.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Comparison Between Bare-metal, Container and VM using Tensorflow Image Classification Benchmarks for Deep Learning Cloud Platform.
Proceedings of the 8th International Conference on Cloud Computing and Services Science, 2018

2017
Application-Aware Traffic Redirection: A Mobile Edge Computing Implementation Toward Future 5G Networks.
Proceedings of the 2017 IEEE 7th International Symposium on Cloud and Service Computing, 2017

A Dynamic Module Deployment Framework for M2M Platforms.
Proceedings of the 2017 IEEE 7th International Symposium on Cloud and Service Computing, 2017

Optimizing the query performance of block index through data analysis and I/O modeling.
Proceedings of the International Conference for High Performance Computing, 2017

Strike the Balance between System Utilization and Data Locality under Deadline Constraint for MapReduce Clusters.
Proceedings of the 18th International Conference on Parallel and Distributed Computing, 2017

Using Deep Learning to Predict and Optimize Hadoop Data Analytic Service in a Cloud Platform.
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017

Apply Block Index Technique to Scientific Data Analysis and I/O Systems.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

2016
Cost-aware DAG scheduling algorithms for minimizing execution cost on cloud resources.
J. Supercomput., 2016

A Middleware Solution for Optimal Sensor Management of IoT Applications on LTE Devices.
Proceedings of the Quality, Reliability, Security and Robustness in Heterogeneous Networks, 2016

Performance Evaluations of Cloud Radio Access Networks.
Proceedings of the Quality, Reliability, Security and Robustness in Heterogeneous Networks, 2016

Distributed Incremental Pattern Matching on Streaming Graphs.
Proceedings of the ACM Workshop on High Performance Graph Processing, 2016

Modeling of Resource Granularity and Utilization with Virtual Machine Splitting.
Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016

DRASH: A Data Replication-Aware Scheduler in Geo-Distributed Data Centers.
Proceedings of the 2016 IEEE International Conference on Cloud Computing Technology and Science, 2016

Dynamic Block Partitioning Strategy for Cloud-Backed File Systems.
Proceedings of the 2016 IEEE International Conference on Cloud Computing Technology and Science, 2016

Indexing Blocks to Reduce Space and Time Requirements for Searching Large Data Files.
Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

Byzantine Fault Tolerant Optimization in Federated Cloud Computing.
Proceedings of the 2016 IEEE International Conference on Computer and Information Technology, 2016

2015
Exploiting Replication for Energy-Aware Scheduling in Disk Storage Systems.
IEEE Trans. Parallel Distributed Syst., 2015

A Patient-centered medical environment with wearable sensors and cloud monitoring.
Proceedings of the 2nd IEEE World Forum on Internet of Things, 2015

In-memory Query System for Scientific Dataseis.
Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems, 2015

pNFS-Based Software-Defined Storage for Information Lifecycle Management.
Proceedings of the International Conference on Cloud Computing and Big Data, 2015

2014
iPACS: Power-aware covering sets for energy proportionality and performance in data parallel computing clusters.
J. Parallel Distributed Comput., 2014

Simplifying index file structure to improve I/O performance of parallel indexing.
Proceedings of the 20th IEEE International Conference on Parallel and Distributed Systems, 2014

Taiwan UniCloud: A Cloud Testbed with Collaborative Cloud Services.
Proceedings of the 2014 IEEE International Conference on Cloud Engineering, 2014

2013
Optimizing fastquery performance on lustre file system.
Proceedings of the Conference on Scientific and Statistical Database Management, 2013

Prevent VM Migration in Virtualized Clusters via Deadline Driven Placement Policy.
Proceedings of the IEEE 5th International Conference on Cloud Computing Technology and Science, 2013

2012
Energy-Saving Techniques for Disk Storage Systems.
Proceedings of the Handbook of Energy-Aware and Green Computing - Two Volume Set., 2012

Parallel I/O, analysis, and visualization of a trillion particle simulation.
Proceedings of the SC Conference on High Performance Computing Networking, 2012

Value-based tiering management on heterogeneous block-level storage system.
Proceedings of the 4th IEEE International Conference on Cloud Computing Technology and Science Proceedings, 2012

2011
Energy Proportionality and Performance in Data Parallel Computing Clusters.
Proceedings of the Scientific and Statistical Database Management, 2011

FastQuery: A General Indexing and Querying System for Scientific Data.
Proceedings of the Scientific and Statistical Database Management, 2011

Parallel index and query for large scale data analysis.
Proceedings of the Conference on High Performance Computing Networking, 2011

Energy-Aware Scheduling in Disk Storage Systems.
Proceedings of the 2011 International Conference on Distributed Computing Systems, 2011

FastQuery: A Parallel Indexing System for Scientific Data.
Proceedings of the 2011 IEEE International Conference on Cluster Computing (CLUSTER), 2011

2010
Birkhoff-von Neumann switching with statistical traffic profiles.
Comput. Commun., 2010

2009
A new network architecture for future optical networks : coarse optical circuit switching by default, rerouting over circuits for adaptation.
PhD thesis, 2009

Proactive surge protection: a defense mechanism for bandwidth-based attacks.
IEEE/ACM Trans. Netw., 2009

Optimal multi-path routing and bandwidth allocation under utility max-min fairness.
Proceedings of the 17th International Workshop on Quality of Service, 2009

2007
Minimizing collateral damage by proactive surge protection.
Proceedings of the 2007 Workshop on Large Scale Attack Defense, 2007

2006
SCALLOP: A Scalable and Load-Balanced Peer-to-Peer Lookup Protocol.
IEEE Trans. Parallel Distributed Syst., 2006

2004
LessLog: A Logless File Replication Algorithm for Peer-to-Peer Distributed Systems.
Proceedings of the 18th International Parallel and Distributed Processing Symposium (IPDPS 2004), 2004

SCALLOP: a scalable and load-balanced peer-to-peer lookup protocol for high-performance distributed systems.
Proceedings of the 4th IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGrid 2004), 2004

2003
A Scalable and Load-Balanced Lookup Protocol for High-Performance Peer-to-Peer Distributed Systems.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2003


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