The field of cloud computing, security, and data management is rapidly evolving, with a focus on improving performance, security, and scalability. Recent research has explored the use of dynamic analysis for automatic container policy generation, hybrid execution systems for accelerating dynamic binary translation, and confidential virtual machines for protecting sensitive workloads. Additionally, there have been advancements in memory disaggregation, distributed memory access mechanisms, and active storage systems for optimizing AI workload distribution. Noteworthy papers in this area include BEACON, which introduces a novel tool for automated container policy generation, and CAEC, which enables protected memory sharing between confidential virtual machines. Other notable papers include DOLMA, which presents a data object level memory disaggregation framework, and PystachIO, which provides a PyTorch-based distributed OLAP engine for scalable query processing.
Advancements in Cloud Computing, Security, and Data Management
Sources
Offloading Artificial Intelligence Workloads across the Computing Continuum by means of Active Storage Systems
PystachIO: Efficient Distributed GPU Query Processing with PyTorch over Fast Networks & Fast Storage