Concept: Cloud Computing and Resource Management
IntelliScheduler: an edge-cloud computing environment hybrid deep learning framework for task scheduling based on learning
Smart task scheduling for edge-cloud systems using deep learning
A self-assessment framework for evaluating efficiency of data centers
A unified framework for measuring thermal and energy performance in data centers
AGENT: An elitism-guided evolutionary framework for enhanced task allocation performance in heterogeneous cloud systems
Optimizing task scheduling in cloud computing with evolutionary algorithms
Performance Evaluation of Delta Lake for Data Reliability and Analytic Workloads
Optimizing query performance and reliability in large-scale data lakes
Framework-aware query orchestration for Angular micro-frontends: a type-safe approach to GraphQL deduplication and performance optimization
Reducing redundant data fetching and improving load times in modular web applications
A Decade of Docker Containers
How containerization technology evolved across platforms while staying developer-friendly
WaSC: Hardening WebAssembly Sandboxes via System Interface Decoupling
Improving WebAssembly security through isolated system interface management
Quantum data centres may support scalable quantum networking
How entanglement networks enable scalable quantum computing through distributed processors
Integrating Quantum Software Tools with(in) MLIR
Using MLIR to create unified quantum software toolchains
Cloud-native ERM improved flexibility and responsiveness
Flexible resource management systems designed for diverse industries
