COMPX529-22A (NET)

Engineering Self-Adaptive Systems

15 Points

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Division of Health Engineering Computing & Science
School of Computing and Mathematical Sciences
Department of Computer Science

Staff

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Convenor(s)

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: buddhika.subasinghe@waikato.ac.nz

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: alistair.lamb@waikato.ac.nz

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Paper Description

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Software needs to manage itself to fullfill dynamic requirements in a changing environment. Self-adaptive software is currently employed in clouds, networks, IoT, autonomous robots, etc. Adaptation challenges include self-configuration, self-optimization, self-healing and self-protection.

The learning outcomes for this paper are linked to Washington Accord graduate attributes WA1-WA11. Explanation of the graduate attributes can be found at: https://www.ieagreements.org/

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Paper Structure

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The paper is planned to be taught via recorded lectures and tutorials, assignments and readings from recommended texts. The students are also expected to research material independently using the library resources of the university.
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Learning Outcomes

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Students who successfully complete the paper should be able to:

  • Identify application areas and high-level requirements/constraints/goals fit for Self-Adaptive software. (WA2, WA4, WA6)
    Linked to the following assessments:
  • Comprehend, apply and present methods, algorithms, architectures, tools, etc., for modelling, analysis and design of self-adaptive systems. (WA1-5, WA9)
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  • Conduct and present a literature review on recent developments on a self-adaptive topic. (WA4, WA9, WA11)
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  • Design, develop, evaluate and document a self-adaptive solution to a complex engineering problem. (WA2-5, WA6, WA9)
    Linked to the following assessments:
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Assessment

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The paper will be assessed by five assignments. Two will involve developing and controlling a cloud/serverless platform simulation; one will require the students work on Kubernetes, a real cloud management system; one will be doing state-of-the-art literature review; and the final will comprise a bundle of notes and observations the student has made throughout the duration of the paper accompanied by a video where they expand on their self-reflection.

To succeed:

  • Basics to succeed (C- to C+): engage yourself
    • Prepare sessions (bundle!)
    • Carry out the given tasks (bundle!)
    • Your deliverables abide by software engineering quality standards
  • If you want higher grades (B- to B+): reflect
    • Critically reflect on what you are doing (bundle!)
    • Your work replicates published work
  • If you want even higher grades (A- to A+): take initiative and show insight
    • Profound critical reflections (bundle!)
    • Go beyond what has been presented to you/asked from you during the sessions (bundle!)
    • Your work is of sufficient quality to be publishable in a suitable academic venue

If you are enrolled in a BE(Hons), samples of your work may be required as part of the Engineering New Zealand accreditation process for BE(Hons) degrees. Any samples taken will have the student name and ID redacted. If you do not want samples of your work collected then please email the engineering administrator, Natalie Shaw (natalie.shaw@waikato.ac.nz), to opt out.

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Assessment Components

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The internal assessment/exam ratio (as stated in the University Calendar) is 100:0. There is no final exam. The final exam makes up 0% of the overall mark.

The internal assessment/exam ratio (as stated in the University Calendar) is 100:0 or 0:0, whichever is more favourable for the student. The final exam makes up either 0% or 0% of the overall mark.

Component DescriptionDue Date TimePercentage of overall markSubmission MethodCompulsory
1. A0: Bid for academic papers
25 Mar 2022
6:00 PM
0
  • Online: Submit through Moodle
2. A1: Autoscaling on Kubernetes
1 Apr 2022
6:00 PM
15
  • Online: Submit through Moodle
3. A2: Adaptive bin-packing and autoscaling on simulator
29 Apr 2022
6:00 PM
20
  • Online: Submit through Moodle
4. A3: Summarize three recent research papers in text and video
20 May 2022
6:00 PM
20
  • Online: Submit through Moodle
5. A4: Simulated FaaS
10 Jun 2022
6:00 PM
30
  • Online: Submit through Moodle
6. A5: Bundle and video on self-reflection
17 Jun 2022
6:00 PM
15
  • Online: Submit through Moodle
Assessment Total:     100    
Failing to complete a compulsory assessment component of a paper will result in an IC grade
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Required and Recommended Readings

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Required Readings

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Kephart, Jeffrey O., and David M. Chess. "The vision of autonomic computing." Computer 1 (2003): 41-50.

Weyns, Danny. "Engineering Self-Adaptive Software Systems–An Organized Tour." 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS* W). IEEE, 2018.

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Recommended Readings

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Weyns, D., 2020. An Introduction to Self-adaptive Systems: A Contemporary Software Engineering Perspective. John Wiley & Sons.

Janert, Philipp K. Feedback control for computer systems: introducing control theory to enterprise programmers. " O'Reilly Media, Inc.", 2013.

Brunton, S.L. and Kutz, J.N., 2019. Data-driven science and engineering: Machine learning, dynamical systems, and control. Cambridge University Press.

Burkov, A., 2019. The hundred-page machine learning book (Vol. 1, pp. 3-5). Canada: Andriy Burkov.

Beyer, Betsy, et al. Site Reliability Engineering: How Google Runs Production Systems. " O'Reilly Media, Inc.", 2016.

Research papers published in the last three years at SASO, ICAC, SEAMS and TAAS

Gregg, Brendan. Systems performance: enterprise and the cloud. Pearson Education, 2014.

Molyneaux, Ian. The Art of Application Performance Testing: From Strategy to Tools. " O'Reilly Media, Inc.", 2014.

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Other Resources

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Online Support

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http://elearn.waikato.ac.nz/ Students are expected to access course material and notices via Moodle. There will also be a discussion forum hosted online.
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Workload

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Students should expect to spend about 13 hours per week on this paper for those who are well prepared and competent.
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Linkages to Other Papers

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Prerequisite(s)

Prerequisite papers: COMPX341 or ENGME352 or ENGEE358 or MATHS203

Corequisite(s)

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