Rajkumar Buyya

Professor

University of Melbourne

Australia

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Rajkumar Buyya is a Professor at the University of Melbourne, Australia. His research focuses on various aspects of cloud computing, artificial intelligence, and big data analytics, as evidenced by his recent publications. Areas of exploration include serverless workloads, water quality forecasting, and accident detection systems, among others. He is committed to advancing technologies that enhance performance and sustainability in computing environments.

Rajkumar Buyya

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Articles (30)

Dynamic FPGA reconfiguration for scalable embedded artificial intelligence (AI): A co-design methodology for convolutional neural networks (CNN) acceleration

Ephemera: Accelerating I/O-Intensive Serverless Workloads with a Harvested In-memory File System

STMF: A Spatiotemporal Multimodal Fusion Model for Long-Term Water Quality Forecasting

Early Response Framework for Accident Detection and Prevention Through Multi‐Zone Fog‐Cloud Collaboration for Safety‐Critical Applications

A Framework for Carbon-Aware Real-Time Workload Management in Clouds Using Renewables-Driven Cores

Cross-Search With Improved Multi-Dimensional Dichotomy-Based Joint Optimization for Distributed Parallel Training of DNN

Ls-Stream: Lightening Stragglers in Join Operators for Skewed Data Stream Processing

Toward High‐Availability Distributed Stream Computing Systems via Checkpoint Adaptation

Scaling Approaches for Serverless Data Pipelines in Edge and Fog Computing Environments: A Performance Evaluation

FLyer: Federated Learning-Based Crop Yield Prediction for Agriculture 5.0

Multivariate Resource Usage Prediction With Frequency-Enhanced and Attention-Assisted Transformer in Cloud Computing Systems

Fly: Femtolet‐based edge‐cloud framework for crop yield prediction using bidirectional long short‐term memory

Lc‐Stream: An elastic scheduling strategy with latency constraints in geo‐distributed stream computing environments

Efficient Large-Scale Multiple Migration Planning and Scheduling in SDN-Enabled Edge Computing

iQuantum: A toolkit for modeling and simulation of quantum computing environments

Sustainable edge computing: Challenges and future directions

FLight: A lightweight federated learning framework in edge and fog computing

Special issue on efficient management of microservice‐based systems and applications

A Taxonomy of Live Migration Management in Cloud Computing

CloudSim express: A novel framework for rapid low code simulation of cloud computing environments

SLA Management in Intent-Driven Service Management Systems: A Taxonomy and Future Directions

Scheduling IoT Applications in Edge and Fog Computing Environments: A Taxonomy and Future Directions

A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments

Placement of Microservices-based IoT Applications in Fog Computing: A Taxonomy and Future Directions

Energy‐efficiency and sustainability in new generation cloud computing: A vision and directions for integrated management of data centre resources and workloads

Adaptive Cloud Bundle Provisioning and Multi-Workflow Scheduling via Coalition Reinforcement Learning

An Instability-Resilient Renewable Energy Allocation System for a Cloud Datacenter

CoLocateMe: Aggregation-Based, Energy, Performance and Cost Aware VM Placement and Consolidation in Heterogeneous IaaS Clouds

Dynamic Parallel Flow Algorithms With Centralized Scheduling for Load Balancing in Cloud Data Center Networks

DebtCom: Technical Debt-Aware Service Recomposition in SaaS Cloud

Collaborators (11)

JIA RONG

Albert Y. Zomaya

Bahman Javadi

Adel Nadjaran Toosi

Jalil Boudjadar

Vassilis Kostakos

Nishanth Sastry

Omer Rana

José Luis Risco Martín

Shang Gao

Marimuthu Swami Palaniswami

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