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Explores programmable calendar queues for dynamic packet scheduling, enabling priority changes based on network time. Demonstrates implementation and benefits through case studies in delay guarantees, fairness, and flow prioritization.
Automated outlier detection technique for network configurations, inferring templates to identify likely errors without explicit specifications. Applicable to complex elements like ACLs and route policies.
Explore a secure data-sharing system that protects user privacy and ensures data integrity through decentralized trust, hiding identities and detecting server-side violations.
Automated system for synthesizing formal network specifications from configurations, combining data plane analysis and control plane verification to enhance network reliability and security.
Explores TCP adaptation for modern reconfigurable datacenter networks, proposing dynamic queue resizing and explicit circuit state feedback to improve circuit utilization and performance.
Scalable messaging system offering cryptographic privacy, using parallel mix networks and novel techniques to support millions of users with low latency while protecting communication metadata.
Explores a new availability metric for cloud applications: windowed user-uptime. Discusses its advantages over traditional metrics in accurately reflecting user experience and distinguishing outage patterns.
Explore Firecracker, a lightweight VMM for serverless applications, offering strong security and minimal overhead. Learn about its design, deployment, and impact on AWS Lambda and Fargate services.
Explores MALT, a multi-layer topology representation for network management, covering its benefits, implementation challenges, and lessons learned in creating a comprehensive topology model.
Innovative network design for datacenters combining low-latency delivery and high-bandwidth efficiency through dynamic reconfiguration, outperforming static topologies for various workloads.
Innovative laser-based system for high-bandwidth bidirectional air-water communication, adapting to water dynamics and offering 3D steering capabilities for improved underwater operations and coordination.
Innovative GPU cluster scheduling framework for fair and efficient allocation of resources in distributed machine learning workloads, addressing unique challenges of long-running, gang-scheduled tasks and placement sensitivity.
Explore a storage framework offering deterministic I/O performance in multi-container environments, eliminating noisy neighbor issues through hardware and software innovations.
Explore how computational storage drives enhance cloud-native relational databases for analytical workloads, focusing on POLARDB's implementation and deployment in Alibaba Cloud.
Explores HotRing, a novel in-memory key-value store optimized for concurrent access to hot data, featuring an ordered-ring hash index and lock-free structures for improved performance on skewed workloads.
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