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Email

tawfiqul.islam@unimelb.edu.au

Credentials


Position
Lecturer
School of Computing and Information Systems
Education
Doctorate (Research)
University of Melbourne
Masters (Coursework & Research)
University of Dhaka
Bachelors Degree (Honours)
University of Dhaka
ORCID

0000-0003-4922-7807

Dr Tawfiq Islam

Lecturer
School of Computing and Information Systems

13 Scholarly works
0 Projects

HIGHLIGHTS

  • 2026

    Conference Proceedings

    LLM-Driven Intent-Based Privacy-Aware Orchestration Across the Cloud--Edge Continuum
    DOI: 10.1145/3793811.3793824
  • 2026

    Conference Proceedings

    A Hybrid Reactive-Proactive Auto-scaling Algorithm for SLA-Constrained Edge Computing
    DOI: 10.1145/3793811.3793826
  • 2026

    Journal article

    TraDE: Network and Traffic-Aware Adaptive Scheduling for Microservices Under Dynamics
    DOI: 10.1109/TPDS.2025.3626424
  • 2026

    Journal article

    ORACL : Optimized Reasoning for Autoscaling via Chain of Thought with LLMs for Microservices
    DOI: 10.1109/tsc.2026.3707982
  • 2024

    Conference Proceedings

    A Unified Approach to Virtual Machine Placement and Migration in the Cloud using Deep Reinforcement Learning
    DOI: 10.1109/UCC63386.2024.00028
  • 2023

    Conference Proceedings

    An Intent-based Framework for Vehicular Edge Computing
    DOI: 10.1109/PERCOM56429.2023.10099081
  • 2022

    Journal article

    Performance and Cost-Efficient Spark Job Scheduling Based on Deep Reinforcement Learning in Cloud Computing Environments
    DOI: 10.1109/TPDS.2021.3124670
Tawfiq Islam

RECENT SCHOLARLY WORKS

  • 2022

    Conference Proceedings

    A multi-level caching architecture for stateful stream computation
    DOI: 10.1145/3524860.3539803
  • 2022

    Journal article

    SLA-Based Scheduling of Spark Jobs in Hybrid Cloud Computing Environments
    DOI: 10.1109/TC.2021.3075625
  • 2020

    Journal article

    Cost-efficient dynamic scheduling of big data applications in apache spark on cloud
    DOI: 10.1016/j.jss.2019.110515

Acknowledgement of Country

We acknowledge Aboriginal and Torres Strait Islander people as the Traditional Owners of the unceded lands on which we work, learn and live. We pay respect to Elders past, present and future, and acknowledge the importance of Indigenous knowledge in the Academy.

Read about our Indigenous priorities

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