Advancements in Cloud Computing, Security, and Data Management

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.

Sources

BEACON: Automatic Container Policy Generation using Environment-aware Dynamic Analysis

Partial Cross-Compilation and Mixed Execution for Accelerating Dynamic Binary Translation

DuckDB on xNVMe

Confidential, Attestable, and Efficient Inter-CVM Communication with Arm CCA

DOLMA: A Data Object Level Memory Disaggregation Framework for HPC Applications

Solutions for Distributed Memory Access Mechanism on HPC Clusters

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

Evaluate the Stack Management in Effect Handlers using the libseff C Library

Getting the MOST out of your Storage Hierarchy with Mirror-Optimized Storage Tiering

Formal Specification for Fast ACS: Low-Latency File-Based Ordered Message Delivery at Scale

Breaking Isolation: A New Perspective on Hypervisor Exploitation via Cross-Domain Attacks

VLCs: Managing Parallelism with Virtualized Libraries

AutoGuard: A Self-Healing Proactive Security Layer for DevSecOps Pipelines Using Reinforcement Learning

Offloading to CXL-based Computational Memory

Omniscient Attacker in Stochastic Security Games with Interdependent Nodes

High-Performance DBMSs with io_uring: When and How to use it

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