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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Published in Large Installations Systems Administration Conference (LISA) 2010, San Jose, CA, USA, 2009
Recommended citation: A. Turner, A. Sangpetch and H.S. Kim. 2010. Empirical virtual machine models for performance guarantees. In Proceedings of the 24th International Conference on Large Installation System Administration (LISA'10). USENIX Association, USA, 1-15. https://www.usenix.org/conference/lisa10/empirical-virtual-machine-models-performance-guarantees
Published in Large Installations Systems Administration Conference (LISA) 2010, San Jose, CA, USA, 2010
Recommended citation: A. Sangpetch, A. Turner and H.S. Kim. 2010. How to tame your VMs: an automated control system for virtualized services In Proceedings of the 24th International Conference on Large Installation System Administration (LISA'10). USENIX Association, USA, 1-16. https://dl.acm.org/doi/abs/10.5555/1924976.1924995
Published in 2012 Proceedings IEEE INFOCOM, Orlando, FL, 2012
Recommended citation: O. Sukwong, A. Sangpetch and H. S. Kim, "e;SageShift: Managing SLAs for highly consolidated cloud,"e; 2012 Proceedings IEEE INFOCOM, Orlando, FL, 2012, pp. 208-216. https://ieeexplore.ieee.org/document/6195591
Published in 2015 IEEE 8th International Conference on Cloud Computing, New York, NY, 2015
Recommended citation: A. Sangpetch and H. S. Kim, "e;VDEP: VM Dependency Discovery in Multi-tier Cloud Applications,"e; 2015 IEEE 8th International Conference on Cloud Computing, New York, NY, 2015, pp. 694-701. https://ieeexplore.ieee.org/document/7214107
Published in Third International Conference, HealthyIoT 2016, Västerås, Sweden, 2016
Recommended citation: O. Sangpetch and A. Sangpetch, "e;Security Context Framework for Distributed Healthcare IoT Platform,"e; In: M. Ahmed, S. Begum, W. Raad (eds) Internet of Things Technologies for Healthcare, HealthyIoT 2016, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 187. Springer, Cham. https://doi.org/10.1007/978-3-319-51234-1_11
Published in 7th International Conference on Cloud Computing and Services Science (CLOSER 2017), 2017
Recommended citation: Akkarit Sangpetch, Orathai Sangpetch, Nut Juangmarisakul, and Supakorn Warodom. 2017. Thoth: Automatic Resource Management with Machine Learning for Container-based Cloud Platform. In Proceedings of the 7th International Conference on Cloud Computing and Services Science (CLOSER 2017). SCITEPRESS - Science and Technology Publications, Lda, Setubal, PRT, 103–111. https://doi.org/10.5220/0006254601030111
Published in 2018 First Workshop on Data Acquisition to Analysis (DATA 18), 2018
Recommended citation: Amelie Bonde, Shijia Pan, Orathai Sangpetch, Akkarit Sangpetch, Woranun Woramontri, Hae Young Noh, and Pei Zhang. 2018. Structural vibration sensing to evaluate animal activity on a pig farm: extended abstract. In Proceedings of the First Workshop on Data Acquisition To Analysis (DATA'18). Association for Computing Machinery, New York, NY, USA, 25–26. https://doi.org/10.1145/3277868.3277881
Published in 2018 22nd International Computer Science and Engineering Conference (ICSEC), Chiang Mai, Thailand, 2018
Recommended citation: P. Boontaetae, A. Sangpetch and O. Sangpetch, "e;RDI: Real Digital Identity Based on Decentralized PKI,"e; 2018 22nd International Computer Science and Engineering Conference (ICSEC), Chiang Mai, Thailand, 2018, pp. 1-6. https://ieeexplore.ieee.org/document/8712663
Published in 9th International Conference on Cloud Computing and Services Science, Heraklion, Crete, Greece, 2019
Recommended citation: Sangpetch, O.; Sangpetch, A.; Nartnorakij, J. and Vejprasitthikul, N. (2019). Automated Attribute Inference for IoT Data Visualization Service.In Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-365-0, pages 535-542. DOI: 10.5220/0007767105350542 https://doi.org/10.5220/0007767105350542
Undergraduate Course, King Mongkut's Institute of Technology Ladkrabang, Computer Innovation Engineering, 2018
This course introduces basic concepts of computer programming such as elementary programming, data types, expressions, simple algorithms and problem solving involving sequential statements, conditionals and iterations. Students learn routines or methods as fundamental concepts and practice using strings, arrays, lists, maps or dictionaries, pre-defined libraries and classes, abstraction mechanisms and basic object- oriented programming concepts. Students will practice related activities of software development life cycle such as system requirement analysis, debugging, testing and validation.
Undergraduate Course, King Mongkut's Institute of Technology Ladkrabang, Computer Innovation Engineering, 2019
This course covers the topics of computer networking and cyber security. Students will learn about principle of computer networking such as OSI model, networking standards, protocols, network services, network devices, network design, cyber security concepts, network attack, cybercrime, network management procedure, network protection technique, laws, and security standard.
Undergraduate Course, King Mongkut's Institute of Technology Ladkrabang, Computer Innovation Engineering, 2019
This course gives students an overview of Cloud Computing, its enabling technologies and hands-on experience from public and private cloud infrastructure. The course covers the topics of data centers, virtualization, infrastructure, platform, and programming models. The course will discuss the motivating factors, benefits, challenges, and service models; including the concepts behind software-defined infrastructure design and management. Students will explore virtualization and resource isolation technique for offering software, computation, network and storage services. Students will also be introduced to existing cloud platform, programming models and patterns for cloud native applications.
Undergraduate Course, King Mongkut's Institute of Technology Ladkrabang, Computer Innovation Engineering, 2019
This course introduces students to the design and analysis of cyber-physical systems — computational devices and systems that integrate with physical processes for applications such as medical devices, consumer electronics, automotive systems, critical infrastructure control and robotics control. Students will learn about fundamental architecture of embedded systems. Basic topics include computer arithmetic, memory, system bus, I/O, microcontroller and microprocessor design. Students also study the interactions between computer systems and physical dynamics including interfacing with physical environments, distributed communications, real-time control, energy conservation, safety and reliability.
Graduate Course, CMKL University, Electrical and Computer Engineering, 2019
This unique course for Carnegie Mellon University Thailand program introduces students to explore the connections between research, entrepreneurship and innovation. Students will be introduced to industries and tech communities. Students will participate in exploratory projects which introduce research methodologies while also learning how to apply engineering techniques to solve challenging real-world problems.
Graduate Course, CMKL University, Electrical and Computer Engineering, 2020
This course provides a programmer’s view of how computer systems execute programs, store information, and communicate. It enables students to become more effective programmers, especially in dealing with issues of performance, portability and robustness. It also serves as a foundation for courses on compilers, networks, operating systems, and computer architecture, where a deeper understanding of systems-level issues is required. Topics covered include: machine-level code and its generation by optimizing compilers, performance evaluation and optimization, computer arithmetic, processor architecture, memory organization and management, networking technology and protocols, and supporting concurrent computation. This course is modeled after 15-213/18-213/15-513, and is intended for ECE MS students with expanded course contents presented at the graduate level. It prepares students for other graduate level computer systems courses as well as working in the industry.