Research Dissertations


PhD Thesis

  1. Srikumar Venugopal, Scheduling Distributed Data-Intensive Applications on Global Grids, Ph.D. Thesis, The University of Melbourne, Australia, July 2006.
    Worked/Working For: University of New South Wales (UNSW), Sydney, Australia-->IBM Research, Ireland.
  2. Rajiv Ranjan, Coordinated Resource Provisioning in Federated Grids, Ph.D. Thesis, The University of Melbourne, Australia, July 2007.
    Worked/Working For: University of New South Wales (UNSW), Sydney, Australia-->CSIRO, Canberra --> Newcastle University, UK
  3. Jia Yu, QoS-based Scheduling of Workflows on Global Grids, Ph.D. Thesis, The University of Melbourne, Australia, Oct. 2007.
    Worked/Working For: IBM
  4. Chee Shin Yeo, Utility-based Resource Management for Cluster Computing, Ph.D. Thesis, The University of Melbourne, Australia, Jan. 2008.
    Worked/Working For: A*START Institute of High Performance Computing (iHPC), Singapore.
  5. Anthony Sulistio, Advance Reservation and Revenue-based Resource Management for Grid Systems, Ph.D. Thesis, The University of Melbourne, Australia, May 2008.
    Worked/Working For: University of Stuttgart, Germany.
  6. Marcos Dias de Assuncao, Provisioning Techniques and Policies for Resource Sharing between Grids, Ph.D. Thesis, The University of Melbourne, Australia, March 2009.
    Worked/Working For: INRIA, Lyon, France-->IBM, Brazil->ETS Montreal, Canada
  7. Xiaofeng Wang, On the Policy Description and Quantification Model for Trust Management in Grid Computing, Ph.D. Thesis, National University of Defense Technology (NUDT), Changsha, China, October 2009.
    Worked/Working For: National University of Defense Technology (NUDT), China.
  8. Marco A. S. Netto, Adaptive Co-Allocation of Distributed Resources for Parallel Applications, Ph.D. Thesis, The University of Melbourne, Australia, November 2009.
    Worked/Working For: IBM Research Brazil, Sao Paulo->Microsoft
  9. Al-Mukaddim Khan Pathan, Utility-Oriented Internetworking of Content Delivery Networks, Ph.D. Thesis, The University of Melbourne, Australia, November 2009.
    Worked/Working For: CSIRO, Canberra, Australia-->Telstra, Melbourne.
  10. Rodrigo N. Calheiros, Automated Emulation of Distributed Systems through System Management and Virtualization, Ph.D. Thesis, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil, March 2010.
    Worked/Working For: The University of Melbourne, Australia --> Western Sydney University
  11. Saurabh Kumar Garg, Meta Scheduling for Market-Oriented Grid and Utility Computing, Ph.D. Thesis, The University of Melbourne, Australia, June 18, 2010.
    Worked/Working For: The University of Melbourne, Australia->IBM Research -->University of Tasmania
  12. Mustafizur Rahman, Autonomic Workflow Management System for Grid Computing, Ph.D. Thesis, The University of Melbourne, Australia, August 20, 2010.
    Worked/Working For: A*STAR, Singapore-->IBM, Australia->DSTO, Australia.
  13. Suraj Pandey, Scheduling and Management of Data Intensive Application Workflows in Grid and Cloud Computing Environments, Ph.D. Thesis, The University of Melbourne, Australia, December 9, 2010.
    Worked/Working For: The University of Melbourne, Australia-->CSIRO, Sydney->IBM Lab, Melbourne.
  14. Mohsen Amini Salehi, Contention-aware Resource Provisioning in Interconnected Grid Computing Systems, Ph.D. Thesis, The University of Melbourne, Australia, Aug 16, 2012.
    Worked/Working For: Colorado State University --> University of Louisiana, USA
  15. Anton Beloglazov, Energy-Efficient Management of Virtual Machines in Data Centers for Cloud Computing, Ph.D. Thesis, The University of Melbourne, Australia, Feb. 2013.
    Worked/Working For: IBM Research Australia-> Google, USA
  16. Amir Vahid Dastjerdi, QoS-aware and Semantic-based Service Coordination for Multi-Cloud Environments, Ph.D. Thesis, The University of Melbourne, Australia, March 2013.
    Worked/Working For: The University of Melbourne-> PricewaterhouseCoopers (PwC)
  17. Linlin Wu, SLA-based Resource Provisioning for Management of Cloud-based Software-as-a-Service Applications, Ph.D. Thesis, The University of Melbourne, Australia, March 2014.
    Worked/Working For: IT Company, Melbourne
  18. William Voorsluys, Resource Provisioning in Spot Market-based Cloud Computing Environments, Ph.D. Thesis, The University of Melbourne, Australia, June 2014.
    Worked/Working For: The University of Melbourne
  19. Adel Nadjaran Toosi, On the Economics of Infrastructure as a Service Cloud Providers: Pricing, Markets, and Profit Maximization, Ph.D. Thesis, The University of Melbourne, Australia, September 2014.
    Worked/Working For: The University of Melbourne -> Monash University.
  20. Deepak Poola Chandrashekar, Robust and Fault-Tolerant Scheduling for Scientific Workflows in Cloud Computing Environments, Ph.D. Thesis, The University of Melbourne, Australia, August 2015.
    Worked/Working For: RMIT University--> IBM Research, India
  21. Nikolay Grozev, Brokering Techniques for Managing Three-Tier Applications in Distributed Cloud Computing Environments, Ph.D. Thesis, The University of Melbourne, Australia, October 2015.
    Worked/Working For: Microsoft->REA Group->IBM
  22. Sareh Fotuhi Piraghaj, Energy-Efficient Management of Resources in Enterprise and Container-based Clouds, Ph.D. Thesis, The University of Melbourne, Australia, March 2016.
    Worked/Working For: The University of Melbourne ->ANZ (Australia and New Zealand Banking).
  23. Raghavendra Kune, Big Data Computing in Clouds - Data Aware Scheduling and Extended MapReduce for Scientific Analytics, Ph.D. Thesis, The University of Hyderabad, India, April 2016.
    Worked/Working For: Indian Space Research Organisation (ISRO)
  24. Md Hasanul Ferdaus, Multi-objective Virtual Machine Management in Cloud Data Centers, Ph.D. Thesis, Monash University, Australia, July 2016.
    Worked/Working For: The University of Melbourne -> Portland House Group Pty Ltd, Melbourne, Australia.
  25. Maria Alejandra Rodriguez Sossa, Resource Provisioning and Scheduling Algorithms for Scientific Workflows in Cloud Computing Environments, Ph.D. Thesis, The University of Melbourne, Australia, August 2016.
    Worked/Working For: The University of Melbourne
  26. Joarder Mohammad Mustafa Kamal, Workload-Aware Data Management in Shared-Nothing Distributed OLTP Databases, Monash University, Ph.D. Thesis, Australia, November 2016.
    Worked/Working For: AWS (Amazon Web Services), Sydney
  27. Chenhao Qu, Auto-scaling and Deployment of Web Applications in Distributed Computing Clouds, Ph.D. Thesis, The University of Melbourne, Australia, December 2016.
    Worked/Working For: The University of Melbourne -> A financial trading company in Sydney - > MangoDB
  28. Deborah Maria Vieira Magalhes, Workload Modeling and Prediction for Resources Provisioning in Cloud, Ph.D Thesis, Federal University of Cear, Brazil, February 2017.
    Worked/Working For: Federal University of Piaui, Brazil.
  29. Yaser Mansouri, Brokering Algorithms for Data Replication and Migration Across Cloud-based Data Stores, Ph.D. Thesis, The University of Melbourne, Australia, March 2017.
    Worked/Working For: The University of Melbourne --> Qatar University -> The University of Adelaide.
  30. Atefeh Khosravi, Energy and Carbon-Efficient Resource Management in Geographically Distributed Cloud Data Centers, Ph.D. Thesis, The University of Melbourne, Australia, April 2017.
    Worked/Working For: Amazon, Sydney -> Amazon.com. Inc (Seattle, USA)
  31. Patricia Arroba Garcia, Proactive Power and Thermal Aware Optimizations for Energy-Efficient Cloud Computing, Ph.D. Thesis, Universidad Politcnica de Madrid, Spain, June 2017. Extraordinary Doctoral Award.
    Worked/Working For: UCM, Spain
  32. Jungmin Son, Integrated Provisioning of Compute and Network Resources in Software-Defined Cloud Data Centers, Ph.D. Thesis, The University of Melbourne, Australia, January 2018. 2018 IEEE TCSC Outstanding PhD Dissertation Award.
    Worked/Working For: The University of Melbourne-> Amazon.
  33. Bowen Zhou, Code Offloading and Resource Management Algorithms for Heterogeneous Mobile Clouds, Ph.D. Thesis, The University of Melbourne, Australia, January 2018.
    Worked/Working For: Capgemini
  34. Xunyun Liu, Robust Resource Management in Distributed Stream Processing Systems, Ph.D. Thesis, The University of Melbourne, Australia, April 2018.
    Worked/Working For: National University of Defense Technology (NUDT), China.
  35. Safiollah Heidari, Cost-efficient Resource Provisioning for Large-scale Graph Processing Systems in Cloud Computing Environments, Ph.D. Thesis, The University of Melbourne, Australia, June 2018.
    Worked/Working For: start-up in Melbourne.
  36. Maria Salama, Architectural Stability of Self-adaptive Software Systems, The University of Birmingham, UK (United Kingdom), July 2018.
    Worked/Working For: Lancaster University, UK.
  37. Minxian Xu, Brownout-Oriented and Energy Efficient Management of Cloud Data Centers, Ph.D. Thesis, The University of Melbourne, Australia, November 2018. 2019 IEEE TCSC Outstanding PhD Dissertation Award.
    Worked/Working For: Shenzhen Institutes of Advanced Technology/Chinese Academy of Sciences, China.
  38. Carlos Mera-Gomez, Technical Debt-aware Elasticity Management in Cloud Computing Environments, The University of Birmingham, UK (United Kingdom), April 2019.
    Worked/Working For: The University of Birmingham, UK.
  39. Ming-Wei (Caesar) Wu, Modeling and Optimizing Cloud Computing Service Prices, Ph.D. Thesis, The University of Melbourne, Australia, May 2019.
    Worked/Working For: Telstra-> University of Melbourne-> The University of Luxembourg
  40. Sara Kardani Moghaddam, Anomaly-aware Management of Cloud Computing Resources, Ph.D. Thesis, The University of Melbourne, Australia, July 2019.
    Worked/Working For: The University of Melbourne->Skillfield
  41. Anit Khan, Dynamic Consolidation of Virtual Machines for Energy Efficient Management of Cloud Data Centers, Monash University, Australia, Nov. 2019.
    Worked/Working For: Monash University
  42. Redowan Mahmud, Quality of Service (QoS)-aware Application Management in Fog Computing Environments, Ph.D. Thesis, The University of Melbourne, Australia, January 2020.
    Worked/Working For: The University of Melbourne->RMIT->Curtin University
  43. Muhammad H. Hilman, Budget-constrainedWorkflow Applications Scheduling in Workflow-as-a-Service Cloud Computing Environments, Ph.D. Thesis, The University of Melbourne, Australia, March 2020.
    Worked/Working For: The University of Indonesia
  44. Imairi Eitiveni, Information Systems-enabled Sustainability Transformation in Food Supply Chain Management: A Multi-Theory Perspective, Ph.D. Thesis, The University of Melbourne, Australia, July 2020.
    Worked/Working For: The University of Indonesia
  45. Satish Kumar, Technical Debt-aware and Evolutionary Adaptation for Service Composition in SAAS Clouds, The University of Birmingham, UK (United Kingdom), June 2020.
    Worked/Working For: The University of Birmingham->University of Leeds->Leeds Beckett University
  46. Muhammed Tawfiqul Islam, Cost-efficient Management of Cloud Resources for Big Data Applications, Ph.D. Thesis, The University of Melbourne, Australia, August 2020. 2021 IEEE TCSC Outstanding PhD Dissertation Award.
    Worked/Working For: The University of Melbourne
  47. Prabhakar Krishnan, Software-Defined Network Function Virtualization Framework for Securing Cloud-to-Edge, IoT and 5G Networks, Amrita University, Amritapuri, India, December 2020.
    Worked/Working For: C-DAC (India), Cisco (USA), Amrita University (India).
  48. Jaydeep Das, Energy and Timeliness-Aware Geospatial Query Processing in Integrated Cloud-Fog-Edge Computing Environments, Ph.D. Thesis, Indian Institute of Technology (IIT) Kharagpur, India, January 2021.
    Worked/Working For: IIT Kharagpur, India.
  49. Mohammadreza Razian, An Improved Model for Service Composition in Multi-Cloud Environment, Iran University of Science and Technology, Tehran, Iran, January 2021.
    Worked/Working For: IUST, Iran.
  50. Shashikant Ilager, Machine Learning-based Energy and Thermal Efficient Resource Management Algorithms for Cloud Data Centres, Ph.D. Thesis, The University of Melbourne, Australia, February 2021. 2021 IEEE TCCLD Outstanding PhD Thesis Award.
    Worked/Working For: The University of Melbourne -> Vienna University of Technology, Austria-> University of Amsterdam, Netherlands.
  51. Rajendra Dwivedi, Design of Energy Efficient and Secure Algorithms for Sensor Clouds, Madan Mohan Malaviya University of Technology, Gorakhpur, India, February 2021.
    Worked/Working For: MMM University of Technology, India.
  52. Rohit Kumar Tiwari, Cloud Service Provider Selection using Multi-Criteria Decision Making, Madan Mohan Malaviya University of Technology, Gorakhpur, India, July 2021.
    Worked/Working For: MMM University of Technology, India.
  53. TianZhang He, Migration Management in Software-Defined Networking-enabled Edge and Cloud Computing Environments, Ph.D. Thesis, The University of Melbourne, Australia, August 2021.
    Worked/Working For: The University of Melbourne
  54. Mohammad Goudarzi, Energy and Time Aware Scheduling of Applications in Edge and Fog Computing Environments, Ph.D. Thesis, The University of Melbourne, Australia, February 2022. 2022 IEEE TCCLD Outstanding PhD Thesis Award. and 2022 IEEE TCSC Outstanding PhD Dissertation Award.
    Worked/Working For: The University of Melbourne-> UNSW->Monash University
  55. Samodha Pallewatta, Microservices-based Internet of Things Applications Placement in Fog Computing Environments, Ph.D. Thesis, The University of Melbourne, Australia, February 2023. 2023 IEEE TCSC Outstanding PhD Dissertation Award.
    Worked/Working For: The University of Melbourne->The University of Adelaide
  56. Amanda Jayanetti, Workflow Scheduling in Cloud and Edge Computing Environments with Deep Reinforcement Learning, Ph.D. Thesis, The University of Melbourne, Australia, August 2023.
    Worked/Working For: WS02, The University of Melbourne
  57. Anupama Mampage, Autonomous Resource Management for Serverless Computing, Ph.D. Thesis, The University of Melbourne, Australia, November 2023.
    Worked/Working For: The University of Melbourne
  58. Tahseen Khan, Advanced Clustering Algorithms based on Semi-supervised Learning and Applications in Cloud Computing, University of Electronic Science and Technology of China (UESTC), China, June 2024.
    Worked/Working For: UESTC/KLE University
  59. Guangyao Zhou, Optimization Scheduling Technologies for Multi-dimensional Resources and Distributed Pipeline Parallel Training in Cloud Computing, University of Electronic Science and Technology of China (UESTC), China, June 2024. UESTC Outstanding PhD Dissertation Award.
    Worked/Working For: UESTC?
  60. Shinu M. Rajagopal, Efficient Resource Management Framework for Critical Healthcare Applications in Integrated Edge-Fog-Cloud Environments using Blockchain based Federated Learning Methods, Amrita University, Bangalore, India, August 2024..
    Worked/Working For: Amrita University, India

Masters by Research Thesis

  1. Alexander Barmouta, Authorisation and Accounting Services for the World Wide Grid, Masters by Research Thesis, University of Western Australia, Australia, June 2004.
  2. Martin Placek, Storage Exchange: A Global Platform for Trading Distributed Storage Services, Masters by Research Thesis, University of Melbourne, Australia, Aug. 2006.
  3. Khaled Ahsan Talukder, On The Pareto-Following Variation Operator For Fast Converging Multiobjective Evolutionary Algorithms, Masters by Research Thesis, University of Melbourne, Australia, Nov. 2008.

Masters/Honours Minor Thesis

  1. Kwai Wah Ho, A New Grid Portal for Managing and Monitoring Application Execution on Global Grids through Multiple Devices, Master of IT - Minor Thesis, Grid Computing and Distributed Systems Laboratory, University of Melbourne, Australia, June 22, 2004.
  2. Alan Kin Wah Yim, Decentralized Media Streaming Infrastructure (DeMSI): A Peer-to-Peer Content Delivery Network, Master of IT - Minor Thesis, Grid Computing and Distributed Systems Laboratory, University of Melbourne, Australia, Nov. 30, 2004.
  3. Henry Lin, Economy-Based Data Replication Broker Policies in Data Grids, BSc Honours Thesis, Grid Computing and Distributed Systems Laboratory, Dept. of Computer Science and Software Engineering, University of Melbourne, Australia, Jan 18, 2005.
  4. XingChen Chu, Open Sensor Web Architecture : Core Services, Master of IT - Minor Thesis, Grid Computing and Distributed Systems Laboratory, University of Melbourne, Australia, December 6, 2005.
  5. Bhathiya Wickremasinghe, CloudAnalyst: A CloudSim-based Tool for Modelling and Analysis of Large Scale Cloud Computing Environments, MEDC Project, Cloud Computing and Distributed Systems Laboratory, University of Melbourne, Australia, June 30, 2009.
  6. Dileban Karunamoorthy, Gridbus Workflow Management System and Aneka Enterprise Cloud Middleware Integration, MEDC Project, Cloud Computing and Distributed Systems Laboratory, University of Melbourne, Australia, June 30, 2009.
  7. Sheng Niu, An Auto-scaling Cloud Computing Infrastructure based on Aneka Enterprise Middleware and Gridbus Workflow Engine, MEDC Project, Cloud Computing and Distributed Systems Laboratory, University of Melbourne, Australia, June 2010.
  8. Dong Leng, Scalable Execution of LIGO Astrophysics Application in a Cloud Computing Environment, Masters of Engineering in Distributed Computing Project, University of Melbourne, July 2011.
  9. Mohammed Alrokayan, Aneka Web Portal, MIT Project, Cloud Computing and Distributed Systems Laboratory, University of Melbourne, Australia, November 21, 2011.
  10. María Alejandra Rodríguez Sossa, Cost Minimization Heuristics for Scheduling Workflows on Heterogeneous Distributed Environments, MEDC Project, Cloud Computing and Distributed Systems Laboratory, University of Melbourne, Australia, Nov. 2011.
  11. Kumaraswamy Krishnakumar and Ling Wan, A Framework for IoT Sensor Data Analytics and Visualisation in Cloud Computing Environments, MEDC Project, Cloud Computing and Distributed Systems Laboratory, University of Melbourne, Australia, Nov. 2011.
  12. Jungmin Son, Automated decision system for efficient resource selection and allocation in inter-clouds, MEDC/MIT (Distributed Computing) Project, Cloud Computing and Distributed Systems Laboratory, University of Melbourne, Australia, June. 2013.
  13. Diana Carolina Barreto Arias, Resource Provisioning in Clouds via Non-Functional Requirements, MEDC/MIT (Distributed Computing) Project, Cloud Computing and Distributed Systems Laboratory, University of Melbourne, Australia, Nov. 2013.
  14. Cristian Montero, Cost aware real time big data processing in Cloud Environments, MEDC/MIT (Distributed Computing) Project, Cloud Computing and Distributed Systems Laboratory, University of Melbourne, Australia, June 2014.
  15. Xiaohui Ji, Graphical User Interface for Software Defined Network Cloud Simulator, MEDC/MIT (Distributed Computing) Project, Cloud Computing and Distributed Systems Laboratory, University of Melbourne, Australia, Nov. 2014.
  16. Prakash Chandra Bhandari, Offloading Resource-Intensive Excel Spreadsheet Tasks to Aneka Cloud, MEDC/MIT (Distributed Computing) Project, Cloud Computing and Distributed Systems Laboratory, University of Melbourne, Australia, June 2016.
  17. Verra Mukty, Sleep Apnea Analysis using Pulse Oximeter data on Microsoft Azure, MIT (Distributed Computing) Project, Cloud Computing and Distributed Systems Laboratory, University of Melbourne, Australia, June 2017.
  18. Siddharth Agarwal, Reinforcement Learning-based Optimisation to Reduce Function Cold Start Frequency in Serverless Computing, MSc Major Research Thesis, Cloud Computing and Distributed Systems Laboratory, University of Melbourne, Australia, June 2021.
  19. Qifan Deng, FogBus2: A Lightweight and Distributed Container-based Framework for Integration of IoT-enabled Systems with Edge and Cloud Computing, MSc Major Research Thesis, Cloud Computing and Distributed Systems Laboratory, University of Melbourne, Australia, June 2021.
  20. Zhiyu Wang, Integration of FogBus2 Framework with Container Orchestration Tools in Cloud and Edge Computing Environments, MIT (AI) Project, Cloud Computing and Distributed Systems Laboratory, University of Melbourne, Australia, Nov. 2021.
  21. Chenghao Song, The Latency-aware Resource Provisioning for Microservice Cluster, MIT (AI) Project, Cloud Computing and Distributed Systems Laboratory, University of Melbourne, Australia, June 2022.
  22. Wuji Zhu, Federated Learning Framework in Fogbus2-based Edge Computing Environments, MSc Major Research Thesis, Cloud Computing and Distributed Systems Laboratory, University of Melbourne, Australia, Nov. 2022.
  23. Suhrid Gupta, Enhanced SLA Compliance in Edge Computing Applications through Hybrid Proactive-Reactive Autoscaling, MSc Major Research Thesis, Cloud Computing and Distributed Systems Laboratory, University of Melbourne, Australia, June 2024.

       
Cloud Computing and Distributed Systems (CLOUDS) Laboratory
School of Computing and Information Systems
The University of Melbourne, Australia