姓名：胡程

学历/学位：博士

职称/职务：讲师/硕士生导师

研究方向：并行与分布式计算、绿色计算、资源自适应系统、系统性能评估等。

不限于上述方向，欢迎优秀学生报读本人硕士研究生。

电子邮箱：chenghu81@163.com

个人网页：https://www.scholarmate.com/P/huchengcs

讲授课程

操作系统、电路与电子技术基础、计算机组成等。

近5年主要科研成果

学术期刊论文：

1. Cheng Hu, Yuhui Deng, Geyong Min, Ping Huang, Xiao Qin. QoS Promotion in Energy-Efficient Datacenters Through Peak Load Scheduling. IEEE Transactions on Cloud Computing, vol. 9, no. 2, pp. 777-792, 2021.(SCIJCR-Q1)

2. Cheng Hu, Yuhui Deng, Laurence T. Yang, Yufan Zhao. Estimating the Resource Demand in Power-aware Clusters by Regressing a Linearly Dependent Relation. IEEE Transactions on Sustainable Computing, vol. 6, no. 3, pp. 385-397, 2021. (EI)

3. Cheng Hu, Yuhui Deng. Aggregating Correlated Cold Data to Minimize the Performance Degradation and Power Consumption of Cold Storage Nodes.Journal of Supercomputing, Springer, vol. 75, no. 2, pp. 662-687, 2019. (SCIJCR-Q2)

4. Cheng Hu, Yuhui Deng. Fast Resource Scaling in Elastic Clusters with an Agile Method for Demand Estimation.Sustainable Computing-Informatics & Systems, Elsevier, vol. 19, 2018, pp. 165-173.(SCI JCR-Q2)

5. Cheng Hu, Yuhui Deng. Extracting a Credible Hint of Response Time to Scale Resources in Elastic Clusters. Journal of Circuits, Systems and Computers, vol. 29, no. 13, 2020, pp. 2050211, pages 26. (SCI)

6. Yingya Guo, Kai Huang,Cheng Hu, Jiangyuan Yao, Siyu Zhou. Traffic Engineering in Dynamic Hybrid Segment Routing Networks. Computers, Materials & Continua, vol. 68. no. 1. pp. 655-670, 2021. (SCI JCR-Q2,通讯作者)

学术会议论文：

1. [CPSCom 2020]:Cheng Hu, Yi Zhou, Ruoyao Ding. Sampling Workloads with Dynamic Time Scale to Promote the Energy Efficiency of Datacenters.In Proceedings of the13th IEEE International Conference on Cyber, Physical and Social Computing.Rhodes Island, Greece, 2020.

2. [CPSCom 2019]:Cheng Hu. Resource scaling in elastic clusters with the hint of response time.In Proceedings of the12th IEEE International Conference on Cyber, Physical and Social Computing.Atlanta, GA, United states, 2019.

3. [BlockSys 2019]:Cheng Hu, Mingdong Tang. Reduce the Energy Cost of Elastic Clusters by Queueing Workloads with N-1 Queues.In Proceedings of the1st Blockchain and Trustworthy Systems, Guangzhou, China, 2019.

4. [ISPA 2017]:Cheng Hu, Yuhui Deng. QoS Promotion for Energy-Efficient Datacenters by Regulating Overloaded Workloads. In Proceedings of the 15th IEEE International Symposium on Parallel and Distributed Processing with Applications. Guangzhou,China. 2017. (CCF推荐C类)

5. [ISPA 2017]:Cheng Hu,Yuhui Deng. QoS-Oriented Capacity Provisioning in StorageClusters by modeling workload patterns. In Proceedings of the 15th IEEE International Symposium on Parallel and Distributed Processing with Applications. Guangzhou,China. 2017. (CCF推荐C类)

6. [ICA3PP 2018]: Ru Yang, Yuhui Deng,Cheng Hu, Lei Si. Improving Restore Performance of Deduplication Systems by Leveraging the Chunk Sequence in Backup Stream. In Proceedings of the 18th International Conference on Algorithms and Architectures for Parallel Processing. Guangzhou,China, 2018. (CCF推荐C类)

7. [HPCC 2016]: Bingxing Liu, Yuhui Deng,Cheng Hu, Laurence T. Yang. LeveragingLocality to Boost the Update Performance of Network-Coding-Based Storage Systems. InProceedings of the 18th IEEE International Conference on High Performance Computingand Communications. Sydney, Australia. 2016. (CCF推荐C类)

8. [HPCC 2016]: Lifeng Huang, Yuhui Deng,Cheng Hu, Yongtao Zhou, Ru Yang, RuikaiLiu. Predicting the Bursts of Data Access Streams by Filtering Correlated I/Os. In Proceedings of the 18th IEEE International Conference on High Performance Computingand Communications. Sydney, Australia. 2016. (CCF推荐C类)

9. [HPCC 2017]: Wen Jiang, Yuhui Deng, Xiaohua Meng,Cheng Hu, Yongtao Zhou.Boosting Disk Performance by Compressing On-board Disk Cache. In Proceedings ofthe 19th IEEE International Conference on High Performance Computing and Communications. Bangkok, Thailand. 2017. (CCF推荐C类)

其他：

1. [发明专利]:胡程，一种基于线性关系的负载资源需求量评估方法，2021已授权，专利号：ZL 2018 1 1533107.7。

2. [发明专利]:邓玉辉，胡程，一种低能耗集群环境下基于频度关联的冷数据放置策略，2020已授权，专利号：ZL 2017 1 0839180.6。

3. [项目]: 2020年广州市基础研究项目（广州市科学技术局），基于多维特征的负载强度感知型云计算能耗动态管理技术研究（202002030239），主持。

4. [项目]:2018年校级特色创新项目，能量感知型集群系统的节能与服务质量优化方法研究（18TS21），主持。

5. [项目]:2020年国家自然科学基金面上项目，API生态系统中的服务组合模式挖掘与智能推荐研究（61976061），参与。

6. [项目]:2015年国家自然科学基金面上项目，基于内容感知型去重Cache的磁盘能耗管理策略研究（61572232），参与。

7. [获奖]:胡程，2020年广东省本科高校在线教学优秀案例，二等奖。