南京理工大学副教授、硕士生导师；分别于2009年和2015年在东南大学获得学士和博士学位，获江苏省计算机学会优博；澳大利亚墨尔本大学访问学者；

工作经历

2018.6-至今   南京理工大学   计算机科学与工程学院   副教授；

2015.8-2018.5   南京理工大学   计算机科学与工程学院   讲师；

访学经历

2019.9-2020.09 澳大利亚 墨尔本大学 （The University of Melbourne）访问学者

教育经历

2009.9.1 – 2015.6.9  东南大学     计算机科学与工程学院     硕博连读，（获 2016年江苏省计算机学会优秀博士学位论文奖）；

2005.9.1 – 2009.6.7   东南大学     计算机科学与工程学院，学士；

获奖、荣誉称号

2016年    江苏省计算机学会    优秀博士学位论文奖

社会、学会及学术兼职

中国计算机学会服务计算专委会、分布式计算专委会、协同计算专委会委员；中国仿真学会智能仿真优化与调度专委会委员； 江苏省计算机学会体系结构专委会委员；中国计算机学会服务计算专委会秘书。

CCF C 类会议 CCGrid 2021 的Publicity Co-Chairs 和 IEEE Cloud 2022 的PC member。

IEEE Transactions on Cloud Computing，IEEE Transactions on Automation Science and Engineering，Future Generation Computer Systems, Journal of Grid Computing 和 Concurrency and Computation: Practice and Experience等多个国际期刊审稿人。

科研项目

主持的科研项目：

[1] 国家自然基金面上项目：基于深度强化学习的网状服务系统云计算异构资源租赁与调度，2020-2023，主持，已结题

[2] 国家自然科学基金（青年基金）：具有随机执行时间的批任务工作流云资源弹性租赁与调度方法，2017/01-2019/12，主持，已结题

[3] 江苏省自然科学基金（青年基金）：云计算环境下基于竞价实例的批任务工作流调度方法，2016/07-2019/06，主持，已结题

[4] 南京理工大学自主科研专项：基于负载预测的批任务工作流云资源调度方法，2019/01-2020/12，主持，已结题

[5] 江苏省社会安全图像与视频理解重点实验室开放课题：视频、图像处理工作流应用的云资源租赁方法，2016/01-2017/12，主持，已结题

[6] 东南大学计算机网络和信息集成教育部重点实验室开放课题：在线批任务工作流应用云资源租赁与调度方法，2016/06至2018/05，主持，已结题

其他企业横向：

[1] 企业横向：基于大模型的建筑行业决策方法研究，2024/12 -2025/12，主持，在研

[2] 华为技术有限公司 委托课题 1项，为主参与，已结题

略

发表论文

1.已发表期刊论文：

Z. Cai, H. Wu, X. Jiang, X. Li and R. Buyya, "Deep Learning and Feedback Control Based Container Auto-scaling for Cloud Native Micro-services," in IEEE Transactions on Services Computing, doi: 10.1109/TSC.2025.3596887. (CCF A)

Y. Lei, Z. Cai, X. Li and R. Buyya, "State Space Model and Queuing Network Based Cloud Resource Provisioning for Meshed Web Systems," in IEEE Transactions on Parallel and Distributed Systems, vol. 33, no. 12, pp. 3787-3799, 1 Dec. 2022, doi: 10.1109/TPDS.2022.3170834. (CCF A)

Z. Cai and R. Buyya, "Inverse Queuing Model-Based Feedback Control for Elastic Container Provisioning of Web Systems in Kubernetes," in IEEE Transactions on Computers, vol. 71, no. 2, pp. 337-348, 1 Feb. 2022, doi: 10.1109/TC.2021.3049598. (CCF A)

Hang Wu, Zhicheng Cai, Yamin Lei, Jian Xu & Rajkumar Buyya. Adaptive processing rate based container provisioning for meshed Micro-services in Kubernetes Clouds. CCF Transactions on High Performance Computing, 4, 165–181 (2022). https://doi.org/10.1007/s42514-022-00096-x (CCF C)

Cai, Z, Liu, D, Lu, Y, Buyya, R. Unequal-interval based loosely coupled control method for auto-scaling heterogeneous cloud resources for web applications. Concurrency Computat Pract Exper. 2020; 32:e5926. https://doi.org/10.1002/cpe.5926 (CCF C)

Zhicheng Cai#*,Xiaoping Li, Ruben Ruiz, Qianmu Li. Price forecasting for spot instances in Cloud computing[J]. Future Generation Computer Systems, Volume 79, Part 1, February 2018, Pages 38-53  (中科院分区大类2区，CCF C类期刊)

Zhicheng Cai#*, Xiaoping Li, Ruben Ruiz, Resource provisioning for task-batch based workflows with deadlines in public clouds, IEEE Transactions on Cloud Computing, 7(3) 814-826, 2019 (中科院分区大类2区，Top期刊)。

Zhicheng Cai#*, Xiaoping Li* and Gupta, J.N.D. Heuristics for provisioning services to workflows in XaaS Clouds, IEEE Transactions on Services Computing, 9 (2) (2016) 250–263 (CCF A 类期刊，中科院分区大类2区，Top期刊)

Xiaoping Li and Zhicheng Cai*. Elastic resource provisioning for Cloud workflow applications, IEEE Transactions on Automation Science and Engineering, 14(2)(2017) 1195- 1210. (CCF B类期刊，中科院分区大类2区)

Zhicheng Cai#*,Xiaoping Li, Ruben Ruiz, Qianmu Li. A delay-based dynamic scheduling algorithm for bag-of-task workflows with stochastic task execution times in clouds, Future Generation Computer Systems, 71 (2017) 57-72 (中科院分区大类2区，CCF C类期刊)

Zhicheng Cai#*,Qianmu Li, Xiaoping Li. Elasticsim: A toolkit for simulating workflows with cloud resource runtime auto-scaling and stochastic task execution times, Journal of Grid Computing, 15(2) 257–272, 2017 (CCF C类期刊)

2.发表的部分国际会议论文：

(1) Zhicheng Cai, Xinyu Zhu, Yuehui Zheng, Duan liu, and Lei Xu. A caching-based parallel FP-Growth in Apache Spark, 18th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2018, CCF C类会议), accepted

(2) Duan Liu, Zhicheng Cai and Xiaoping Li. Hidden Markov Model based Spot price prediction for Cloud Computing, IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2017, CCF C类会议)，2017.12.12-12.15, pages:996-1003

(3) Zhicheng Cai, Xiaoping Li and Gupta, J.N.D. Critical path-based iterative heuristic for workflow scheduling in utility and cloud computing, 11th International Conference on Service Oriented Computing (ICSOC 2013，CCF B 类会议), LNCS Volume 8274, 2013, pages: 207-221

(4) Zhicheng Cai, Xiaoping Li and Gupta, J.N.D. Bi-direction adjust heuristic for workflow scheduling in clouds, 19th IEEE International Conference on Parallel and Distributed Systems, （ICPADS 2013，CCF C 类会议)，Seoul，2013.11.15-11.18，pages:94 - 101

(5) Zhicheng Cai and Xiaoping Li. A hybrid genetic algorithm for resource-constrained multi-project scheduling problem with resource transfer time, IEEE International Conference on Automation Science and Engineering, CASE 2012, Seoul,2012.08.20-08.24,pages:569-574

(6) Zhicheng Cai and Xiaoping Li. Dynamic programming for services scheduling with start time constraints in distributed collaborative manufacturing systems, IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012, Seoul,2012.10.14-10.17,pages: 803 - 808

(7) Duan Liu(#); Zhicheng Cai(*); Yifei Lu, Spot Price Prediction Based Dynamic Resource Scheduling for Web Applications, 2019 Seventh International Conference on Advanced Cloud and Big Data (CBD), Suzhou, 2019.9.21-2019.9.22.（最佳应用论文）

(8) Pengfei Sun(#); Zhicheng Cai(*); Duan Liu, Budget Constraint Bag-of-Task Based Workflow Scheduling in Public Clouds, 14th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2019, Kunming, China, 2019.8.16-2019.8.18.（最佳学生论文）

(9) Yamin Lei, Zhicheng Cai*, Hang Wu, Rajkumar Buyya, "Cloud Resource Provisioning and Bottleneck Eliminating for Meshed Web Systems," 2020 IEEE 13th International Conference on Cloud Computing (CLOUD), Beijing, China, 2020, pp. 512-516, doi: 10.1109/CLOUD49709.2020.00076.

(10) Yipei Fang, Zhicheng Cai, "Reinforcement Learning based Heterogeneous Resource Provisioning for Cloud Web Applications," 2020 IEEE 22nd International Conference on High Performance Computing and Communications (HPCC-2020), Yanuca Island, Cuvu, Fiji, 2020, pp. 206-213, doi: 10.1109/HPCC-SmartCity-DSS50907.2020.00026.

(11) Tariq Ali Arain; Xiangjie Huang; Zhicheng Cai; Jian Xu; Multi-objective Optimization of Ticket Assignment Problem in Large Data Centers, CCF Conference on Computer Supported Cooperative Work and Social Computing (ChineseCSCW 2021, 2022年7月正式发表), Xiangtan, China, 2021-11-26至2021-11-28. EI.

(12) Dong Wen; Lixin Zhu; Jian Xu; Zhicheng Cai; Elastic Container Scheduling for Stochastically Arrived Workflows in Cloud and Edge Computing, CCF Conference on Computer Supported Cooperative Work and Social Computing (ChineseCSCW 2021, 2022年7月正式发表), Xiangtan, China, 2021-11-26至2021-11-28. EI.

(13) Xu Jiang; Zhicheng Cai, Performance Curve Profiling and Gated Recurrent Unit Based State Detection for Cloud Native Microservices, CCF ICSS 2023, vol 1844. Springer, Singapore. https://doi.org/10.1007/978-981-99-4402-6_19.

(14) Xing Ma; Zhicheng Cai, Environment-Aware Work Load Prediction In Edge Computing, CCF ICSS 2023, vol 1844. Springer, Singapore. https://doi.org/10.1007/978-981-99-4402-6_3.

(15) Xuan Sun, Bo Cui, Zhicheng Cai, Deep Q-learning based circuit breaking method for micro-services in Cloud native systems, ChineseCSCW 2023, vol 2012. Springer, Singapore. https://doi.org/10.1007/978-981-99-9637-7_26.

(16) Chen, M., Cai, Z. (2025). Multi-graph Embedding and GRU Based Prediction for Mesh Microservice in Edge Computing. In: Sun, H., et al. Computer Supported Cooperative Work and Social Computing. ChineseCSCW 2024. Communications in Computer and Information Science, vol 2344. Springer, Singapore. https://doi.org/10.1007/978-981-96-2376-1_32

3. 中文期刊

(1)朱星宇(#); 蔡志成(*); 刘段; 徐建; 李小平, Spark平台下的分布式函数依赖发现算法, 小型微型计算机系统, 2020, 41(8):1569-1575 ，CCF B.

(2)柳雪妍, 蔡志成, 徐建. 面向 Kubernetes 的容器混合伸缩方法[J]. 计算机与数字工程, 2023(11).（CCF C 类中文期刊）

(3)黄相杰，蔡志成，徐建. 基于深度强化学习的云原生网状微服务容器调度方法[J]. 计算机与数字工程.（已录用，CCF C 类中文期刊）

(4)衡永增，蔡志成，徐建. 边缘环境中多应用容器调度方法[J]. 计算机与数字工程.（已录用，CCF C 类中文期刊）