Dynamic Service Selection for Service Composition with Time Constraints. - Azlan B. Ismail; Jun Yan 005; Jun Shen 001 (Australian Software Engineering Conference, 2009)

Towards dynamic formation of temporal constraints for the service level agreements negotiation. - Azlan B. Ismail; Jun Yan 005; Jun Shen 001 (SOCA, 2009)

Verification of Composite Services with Temporal Consistency Checking and Temporal Satisfaction Estimation. - Azlan B. Ismail; Jun Yan 005; Jun Shen 001 (WISE, 2009)

An offer generation approach to SLA negotiation support in service oriented computing. - Azlan B. Ismail; Jun Yan 005; Jun Shen 001 (Serv. Oriented Comput. Appl., 2010)

Analyzing Fault-Impact Region of Composite Service for Supporting Fault Handling Process. - Azlan B. Ismail; Jun Yan 005; Jun Shen 001 (IEEE SCC, 2011)

Towards Self-adaptation Planning for Complex Service-Based Systems. - Azlan B. Ismail; Valeria Cardellini (ICSOC Workshops, 2013)

Incremental service level agreements violation handling with time impact analysis. - Azlan B. Ismail; Jun Yan 005; Jun Shen 001 (J. Syst. Softw., 2013)

Decentralized Planning for Self-Adaptation in Multi-cloud Environment. - Azlan B. Ismail; Valeria Cardellini (ESOCC Workshops, 2014)

Improving coordination of decentralized self-adaptive system in Multi Cloud environments. - Ahmad Izzuddin Yusof; Azlan B. Ismail; Siti Z. Z. Abidin (ICCSCE, 2015)

Parallel Self-organizing Map Using Shared Virtual Memory Buffers. - Noor Elaiza Bt Abd Khalid; Muhammad Firdaus Mustapha; Azlan B. Ismail; Mazani B. Manaf (ACIIDS (Extended Posters), 2017)

Synthesizing Pareto Optimal Decision for Autonomic Clouds Using Stochastic Games Model Checking. - Azlan B. Ismail; Marta Kwiatkowska (APSEC, 2017)

Enhancing Parallel Self-organizing Map on Heterogeneous System Architecture. - Muhammad Firdaus Mustapha; Noor Elaiza Abdul Khalid; Azlan B. Ismail; Mazani Manaf (SCDS, 2017)

Energy-driven cloud simulation: existing surveys, simulation supports, impacts and challenges. - Azlan B. Ismail (Clust. Comput., 2020)

Cloud failure prediction based on traditional machine learning and deep learning. - Tengku Nazmi Tengku Asmawi; Azlan B. Ismail; Jun Shen 001 (J. Cloud Comput., 2022)

A review of microservices autoscaling with formal verification perspective. - Siti Nuraishah Agos Jawaddi; Muhammad Hamizan Johari; Azlan B. Ismail (Softw. Pract. Exp., 2022)

Data science technology course: The design, assessment and computing environment perspectives. - Azlan B. Ismail; Sofianita Mutalib; Haryani Haron (Educ. Inf. Technol., 2023)

Experimental Evaluation of Machine Learning Models for Goal-oriented Customer Service Chatbot with Pipeline Architecture. - Nurul Ain Nabilah Mohd Isa; Siti Nuraishah Agos Jawaddi; Azlan B. Ismail (CoRR, 2024)

EETS: An energy-efficient task scheduler in cloud computing based on improved DQN algorithm. - Huanhuan Hou; Azlan B. Ismail (J. King Saud Univ. Comput. Inf. Sci., 2024)

Integrating OpenAI Gym and CloudSim Plus: A simulation environment for DRL Agent training in energy-driven cloud scaling. - Siti Nuraishah Agos Jawaddi; Azlan B. Ismail (Simul. Model. Pract. Theory, 2024)

Energy efficient task scheduling based on deep reinforcement learning in cloud environment: A specialized review. - Huanhuan Hou; Siti Nuraishah Agos Jawaddi; Azlan B. Ismail (Future Gener. Comput. Syst., 2024)

Stream ETL framework for twitter-based sentiment analysis: Leveraging big data technologies. - Azlan B. Ismail; Faris Haziq Sazali; Siti Nuraishah Agos Jawaddi; Sofianita Mutalib (Expert Syst. Appl., 2025)