Muhammed Tawfiqul Islam

According to our database, Muhammed Tawfiqul Islam authored at least 19 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

GraphFlash: Enabling Fast and Elastic Graph Processing on Serverless Infrastructure.

Chen Zhao, Parsa Poorsistani, Mohammad Goudarzi, Muhammed Tawfiqul Islam, Adel Nadjaran Toosi

CoRR, May, 2026

Adaptive Management of Microservices in Dynamic Computing Environments: A Taxonomy and Future Directions.

Ming Chen, Muhammed Tawfiqul Islam, Maria Rodriguez Read, Rajkumar Buyya

CoRR, April, 2026

PipeLive: Efficient Live In-place Pipeline Parallelism Reconfiguration for Dynamic LLM Serving.

Xu Bai, Muhammed Tawfiqul Islam, Chen Wang, Adel Nadjaran Toosi

CoRR, April, 2026

LLM-Driven Intent-Based Privacy-Aware Orchestration Across the Cloud-Edge Continuum.

Zijie Su, Muhammed Tawfiqul Islam, Mohammad Goudarzi, Adel Nadjaran Toosi

CoRR, February, 2026

ORACL: Optimized Reasoning for Autoscaling via Chain of Thought with LLMs for Microservices.

Haoyu Bai, Muhammed Tawfiqul Islam, Minxian Xu, Rajkumar Buyya

CoRR, February, 2026

TraDE: Network and Traffic-Aware Adaptive Scheduling for Microservices Under Dynamics.

Ming Chen, Muhammed Tawfiqul Islam, Maria Rodriguez Read, Rajkumar Buyya

IEEE Trans. Parallel Distributed Syst., January, 2026

2025

A Hybrid Reactive-Proactive Auto-scaling Algorithm for SLA-Constrained Edge Computing.

Suhrid Gupta, Muhammed Tawfiqul Islam, Rajkumar Buyya

CoRR, December, 2025

Proactive and Reactive Autoscaling Techniques for Edge Computing.

Suhrid Gupta, Muhammed Tawfiqul Islam, Rajkumar Buyya

CoRR, October, 2025

REACH: Reinforcement Learning for Adaptive Microservice Rescheduling in the Cloud-Edge Continuum.

Xu Bai, Muhammed Tawfiqul Islam, Rajkumar Buyya, Adel Nadjaran Toosi

CoRR, October, 2025

A Controllable and Realistic Framework for Evaluating Microservice Scheduling in Cloud-Edge Continuum.

Ming Chen, Muhammed Tawfiqul Islam, Maria Rodriguez Read, Rajkumar Buyya

CoRR, March, 2025

2024

A Unified Approach to Virtual Machine Placement and Migration in the Cloud using Deep Reinforcement Learning.

Zihao Yang, Muhammed Tawfiqul Islam, Aaron Harwood

Proceedings of the 17th IEEE/ACM International Conference on Utility and Cloud Computing, 2024

2023

An Intent-based Framework for Vehicular Edge Computing.

TianZhang He, Adel Nadjaran Toosi, Negin Akbari, Muhammed Tawfiqul Islam, Muhammad Aamir Cheema

Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2023

2022

Performance and Cost-Efficient Spark Job Scheduling Based on Deep Reinforcement Learning in Cloud Computing Environments.

Muhammed Tawfiqul Islam, Shanika Karunasekera, Rajkumar Buyya

IEEE Trans. Parallel Distributed Syst., 2022

SLA-Based Scheduling of Spark Jobs in Hybrid Cloud Computing Environments.

Muhammed Tawfiqul Islam, Huaming Wu, Shanika Karunasekera, Rajkumar Buyya

IEEE Trans. Computers, 2022

A multi-level caching architecture for stateful stream computation.

Muhammed Tawfiqul Islam, Renata Borovica-Gajic, Shanika Karunasekera

Proceedings of the 16th ACM International Conference on Distributed and Event-based Systems, 2022

2020

Cost-efficient Management of Cloud Resources for Big Data Applications.

Muhammed Tawfiqul Islam

PhD thesis, 2020

Cost-efficient dynamic scheduling of big data applications in apache spark on cloud.

Muhammed Tawfiqul Islam, Satish Narayana Srirama, Shanika Karunasekera, Rajkumar Buyya

J. Syst. Softw., 2020

2018

Resource Management and Scheduling for Big Data Applications in Cloud Computing Environments.

Muhammed Tawfiqul Islam, Rajkumar Buyya

CoRR, 2018

2017

dSpark: Deadline-Based Resource Allocation for Big Data Applications in Apache Spark.

Muhammed Tawfiqul Islam, Shanika Karunasekera, Rajkumar Buyya

Proceedings of the 13th IEEE International Conference on e-Science, 2017