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Transforming Digital Learning: Learning Design Meets Service Design
Intelligenza Artificiale
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Explores CPU-efficient replication in key-value stores using NVMe-oF, introducing novel mechanisms to address challenges and improve performance for write-heavy workloads.
Innovative system for monitoring, diagnosing, and detouring network faults at Internet peering edge, featuring PathDebugging technique to identify fault direction and protect cloud services.
Innovative storage fabric design combining flash and HDD tiers to optimize power efficiency and IO performance for large-scale machine learning training, featuring application-aware caching policies.
Explore SAGE, a software-based attestation mechanism for secure GPU execution, offering code integrity, computation integrity, and data protection without hardware support.
Innovative framework for energy-efficient DNN training, maximizing power savings while maintaining performance through strategic pipeline scheduling and frequency adjustment.
Explore how Amazon DynamoDB implemented distributed transactions without compromising performance, availability, or scale in NoSQL cloud databases using timestamp ordering protocol.
Innovative framework for reducing serverless computing costs by offloading functions to non-serverless resources, considering latency, cost, and QoS expectations for optimal decision-making and significant savings.
Explore AWS Lambda's innovative storage and caching system for efficient container image delivery, addressing challenges in security, efficiency, latency, and cost at massive scale.
Explore the Internet Computer blockchain's innovative approach to decentralized, stateful serverless computing, addressing scalability, persistence, and deterministic scheduling challenges.
Optimizing BBR algorithm to reduce retransmissions while maintaining high throughput. Adaptive scaling of in-flight data cap and timely bandwidth estimate updates improve Internet streaming performance.
Explores a new method for bypassing kernel isolation techniques using BPF infrastructure, demonstrating privilege escalation attacks and proposing defenses against such vulnerabilities.
Explores decentralized scheduling for multiple DNN-powered apps on open mobile systems, using Deep Reinforcement Learning to achieve balanced performance gains and energy savings across various scenarios.
Innovative data compression technique combining deduplication and delta compression for efficient storage. Improves compression ratios and restore performance without affecting backup throughput.
Innovative memory virtualization mechanism achieving near-native performance in VMs. Enables direct guest-to-host address translation while maintaining isolation through hardware-supported memory tagging.
Explores automated systems for managing large network lifecycles, focusing on change management challenges and solutions for conflict resolution and model representation updates.
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