Rajkumar Buyya
YOU?
Author Swipe
View article: Differential Privacy for Secure Machine Learning in Healthcare IoT-Cloud Systems
Differential Privacy for Secure Machine Learning in Healthcare IoT-Cloud Systems Open
Healthcare has become exceptionally sophisticated, as wearables and connected medical devices are revolutionising remote patient monitoring, emergency response, medication management, diagnosis, and predictive and prescriptive analytics. I…
View article: A Joint Time and Energy-Efficient Federated Learning-based Computation Offloading Method for Mobile Edge Computing
A Joint Time and Energy-Efficient Federated Learning-based Computation Offloading Method for Mobile Edge Computing Open
View article: DOPO: A Dynamic PD-Disaggregation Architecture for Maximizing Goodput in LLM Inference Serving
DOPO: A Dynamic PD-Disaggregation Architecture for Maximizing Goodput in LLM Inference Serving Open
To meet strict Service-Level Objectives (SLOs),contemporary Large Language Models (LLMs) decouple the prefill and decoding stages and place them on separate GPUs to mitigate the distinct bottlenecks inherent to each phase. However, the het…
View article: Energy-Efficient Resource Management in Microservices-based Fog and Edge Computing: State-of-the-Art and Future Directions
Energy-Efficient Resource Management in Microservices-based Fog and Edge Computing: State-of-the-Art and Future Directions Open
The exponential growth of Internet of Things (IoT) devices has intensified the demand for efficient and responsive services. To address this demand, fog and edge computing have emerged as distributed paradigms that bring computational reso…
View article: A Decentralized Root Cause Localization Approach for Edge Computing Environments
A Decentralized Root Cause Localization Approach for Edge Computing Environments Open
Edge computing environments host increasingly complex microservice-based IoT applications, which are prone to performance anomalies that can propagate across dependent services. Identifying the true source of such anomalies, known as Root …
View article: HealthCare 5.0: An industry 5.0 perspective for next-generation medical systems with synergistic integration of IoT, AI, and 6G
HealthCare 5.0: An industry 5.0 perspective for next-generation medical systems with synergistic integration of IoT, AI, and 6G Open
View article: Generative AI in the Age of Quantum Computing: A Taxonomy, Architectural Elements and Future Directions
Generative AI in the Age of Quantum Computing: A Taxonomy, Architectural Elements and Future Directions Open
View article: Split Learning-Enabled Framework for Secure and Light-weight Internet of Medical Things Systems
Split Learning-Enabled Framework for Secure and Light-weight Internet of Medical Things Systems Open
The rapid growth of Internet of Medical Things (IoMT) devices has resulted in significant security risks, particularly the risk of malware attacks on resource-constrained devices. Conventional deep learning methods are impractical due to r…
View article: Artificial Intelligence (AI): Foundations, trends and future directions
Artificial Intelligence (AI): Foundations, trends and future directions Open
View article: Quantum Federated Learning: Architectural Elements and Future Directions
Quantum Federated Learning: Architectural Elements and Future Directions Open
Federated learning (FL) focuses on collaborative model training without the need to move the private data silos to a central server. Despite its several benefits, the classical FL is plagued with several limitations, such as high computati…
View article: InterFlux : An Inter-Region Serverless Orchestration Service to Extenuate Latency in Data Intensive Applications
InterFlux : An Inter-Region Serverless Orchestration Service to Extenuate Latency in Data Intensive Applications Open
Serverless computing emerges as a new standard to build cloud applications, where developers write compact functions that respond to events in the cloud infrastructure. Several cloud service industries started adopting serverless for runni…
View article: Incentive-Based Federated Learning: Architectural Elements and Future Directions
Incentive-Based Federated Learning: Architectural Elements and Future Directions Open
Federated learning promises to revolutionize machine learning by enabling collaborative model training without compromising data privacy. However, practical adaptability can be limited by critical factors, such as the participation dilemma…
View article: A Toolkit for Sustainable Educational Environment in the Modern AI Era: Guidelines for Mitigating the Misuse of GenAI in Assessments
A Toolkit for Sustainable Educational Environment in the Modern AI Era: Guidelines for Mitigating the Misuse of GenAI in Assessments Open
View article: REACH: Reinforcement Learning for Adaptive Microservice Rescheduling in the Cloud-Edge Continuum
REACH: Reinforcement Learning for Adaptive Microservice Rescheduling in the Cloud-Edge Continuum Open
Cloud computing, despite its advantages in scalability, may not always fully satisfy the low-latency demands of emerging latency-sensitive pervasive applications. The cloud-edge continuum addresses this by integrating the responsiveness of…
View article: A Novel Cloud-Based Diffusion-Guided Hybrid Model for High-Accuracy Accident Detection in Intelligent Transportation Systems
A Novel Cloud-Based Diffusion-Guided Hybrid Model for High-Accuracy Accident Detection in Intelligent Transportation Systems Open
The integration of Diffusion Models into Intelligent Transportation Systems (ITS) is a substantial improvement in the detection of accidents. We present a novel hybrid model integrating guidance classification with diffusion techniques. By…
View article: A Knowledge Distillation-empowered Adaptive Federated Reinforcement Learning Framework for Multi-Domain IoT Applications Scheduling
A Knowledge Distillation-empowered Adaptive Federated Reinforcement Learning Framework for Multi-Domain IoT Applications Scheduling Open
The rapid proliferation of Internet of Things (IoT) applications across heterogeneous Cloud-Edge-IoT environments presents significant challenges in distributed scheduling optimization. Existing approaches face issues, including fixed neur…
View article: Blockchain-Enabled Federated Learning
Blockchain-Enabled Federated Learning Open
Blockchain-enabled federated learning (BCFL) addresses fundamental challenges of trust, privacy, and coordination in collaborative AI systems. This chapter provides comprehensive architectural analysis of BCFL systems through a systematic …
View article: Ephemera: Accelerating I/O-Intensive Serverless Workloads with a Harvested In-memory File System
Ephemera: Accelerating I/O-Intensive Serverless Workloads with a Harvested In-memory File System Open
Serverless computing has gained popularity for its ability to shift the burden of server management from developers to cloud providers, which allows providers to exercise greater control over resource management, optimizing configurations …
View article: A secure framework for containerized IoT applications in integrated edge–cloud computing environments
A secure framework for containerized IoT applications in integrated edge–cloud computing environments Open
View article: Network Structures as an Attack Surface: Topology-Based Privacy Leakage in Federated Learning
Network Structures as an Attack Surface: Topology-Based Privacy Leakage in Federated Learning Open
Federated learning systems increasingly rely on diverse network topologies to address scalability and organizational constraints. While existing privacy research focuses on gradient-based attacks, the privacy implications of network topolo…
View article: ReinFog: A Deep Reinforcement Learning empowered framework for resource management in edge and cloud computing environments
ReinFog: A Deep Reinforcement Learning empowered framework for resource management in edge and cloud computing environments Open
View article: Aging-aware CPU Core Management for Embodied Carbon Amortization in Cloud LLM Inference
Aging-aware CPU Core Management for Embodied Carbon Amortization in Cloud LLM Inference Open
View article: Artificial Intelligence (AI): Foundations, Trends and Future Directions
Artificial Intelligence (AI): Foundations, Trends and Future Directions Open
View article: WorkloadAware: A Resource Allocation and Consolidation Technique for Heterogeneous Clouds
WorkloadAware: A Resource Allocation and Consolidation Technique for Heterogeneous Clouds Open
View article: TrustMesh: A Blockchain-Enabled Trusted Distributed Computing Framework for Open Heterogeneous IoT Environments
TrustMesh: A Blockchain-Enabled Trusted Distributed Computing Framework for Open Heterogeneous IoT Environments Open
TrustMesh is a blockchain-enabled distributed computing framework designed for trustless heterogeneous IoT environments. It implements a novel three-layer architecture combining permissioned blockchain technology with a multi-phase Practic…
View article: iDynamics: A Configurable Emulation Framework for Evaluating Microservice Scheduling Policies under Controllable Cloud-Edge Dynamics
iDynamics: A Configurable Emulation Framework for Evaluating Microservice Scheduling Policies under Controllable Cloud-Edge Dynamics Open
This paper presents iDynamics, a configurable emulation framework that exposes these dynamics as controllable experimental factors while running real microservice code on a Kubernetes-based cloud-edge cluster. iDynamics comprises three mod…
View article: Security Architectural Approaches and Risk Assessment Methods for Blockchain Systems: A Review and Future Directions
Security Architectural Approaches and Risk Assessment Methods for Blockchain Systems: A Review and Future Directions Open
Amid the widespread use of blockchain technology, the escalating frequency of cyberattacks exploiting its inherent security challenges underscores the critical necessity for a robust and adaptable security risk assessment approach. The dis…
View article: Dynamic FPGA reconfiguration for scalable embedded artificial intelligence (AI): A co-design methodology for convolutional neural networks (CNN) acceleration
Dynamic FPGA reconfiguration for scalable embedded artificial intelligence (AI): A co-design methodology for convolutional neural networks (CNN) acceleration Open
View article: Federated Learning Architectures: A Performance Evaluation With Crop Yield Prediction Application
Federated Learning Architectures: A Performance Evaluation With Crop Yield Prediction Application Open
Introduction Federated learning has become an emerging technology in data analysis for IoT applications. Methods This paper implements centralized and decentralized federated learning frameworks for crop yield prediction based on Long Shor…
View article: SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning
SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning Open
The Internet of Things (IoT) revolutionizes smart city domains such as healthcare, transportation, industry, and education. The Internet of Medical Things (IoMT) is gaining prominence, particularly in smart hospitals and Remote Patient Mon…