Defcon - Preventing Overload with Graceful Feature Degradation
Explore Defcon, a system for improving large-scale Internet service availability through graceful feature degradation, enabling operators to manage overload conditions and enhance global product reliability.
Cilantro - Performance-Aware Resource Allocation for General Objectives via Online Feedback
Explore Cilantro, an innovative system for performance-aware resource allocation in clusters, using online learning to optimize various scheduling objectives and improve user utilities.
AdaEmbed - Adaptive Embedding for Large-Scale Recommendation Models
Adaptive embedding system for large-scale recommendation models, reducing embedding size while maintaining accuracy. Improves deployment efficiency and model execution speed in industrial settings.
Flor - An Open High Performance RDMA Framework Over Heterogeneous RNICs
Explore Flor, an innovative framework enabling high-performance RDMA across diverse network interface cards, addressing bandwidth imbalances and enhancing datacenter application efficiency.
ExoFlow - A Universal Workflow System for Exactly-Once DAGs
ExoFlow: A universal workflow system enabling flexible recovery vs. performance tradeoffs within applications. Decouples execution from recovery, provides exactly-once semantics, and supports diverse workflow applications with optimized task communicatio…
Core Slicing - Closing the Gap Between Leaky Confidential VMs and Bare-Metal Cloud
Explores core slicing, a novel approach to enhance cloud security by enabling multiple untrusted guest OSes to run on shared bare-metal hardware, addressing vulnerabilities in confidential VMs.
Effectively Scheduling Computational Graphs of Deep Neural Networks toward Their Domain-Specific Accelerators
Innovative approach for scheduling DNN computational graphs on domain-specific accelerators, optimizing resource utilization and enhancing performance through synergy between network and hardware architectures.
Global Capacity Management With Flux
Automated system for optimizing capacity distribution across global datacenters, using RPC tracing and service models to efficiently rebalance resources for thousands of services and products.
ORC - Increasing Cloud Memory Density via Object Reuse with Capabilities
Explore ORC: a novel approach for efficient memory sharing in cloud environments, offering improved density and isolation through fine-grained object reuse and hardware-supported capabilities.
ShRing - Networking with Shared Receive Rings
Innovative networking technique that shares receive rings among cores, reducing memory footprint and improving throughput for high-bandwidth scenarios, with significant latency reductions in NFV workloads.
ServiceRouter - Hyperscale and Minimal Cost Service Mesh at Meta
Innovative service mesh solution for hyperscale environments, optimizing RPC routing with minimal hardware costs. Features include direct routing, sharded service support, and locality rings for geo-distributed load balancing.
Replicating Persistent Memory Key-Value Stores with Efficient RDMA Abstraction
Efficient RDMA abstraction for replicating persistent memory key-value stores, improving throughput and latency while reducing write amplification in distributed systems.
Chardonnay - Fast and General Datacenter Transactions for On-Disk Databases
Innovative approach to optimize distributed on-disk database transactions using fast 2PC and lock-free read protocol, enabling efficient data prefetching and minimizing contention in datacenter environments.
Hydro - Surrogate-Based Hyperparameter Tuning Service in Datacenters
Innovative hyperparameter tuning service for deep learning models, optimizing efficiency and resource utilization in datacenters through surrogate models and adaptive resource management.
Ensō - A Streaming Interface for NIC-Application Communication
Streaming interface for NIC-application communication, improving network performance by reducing software overheads, PCIe bandwidth, and cache misses. Enables 100 Gbps link saturation with single core and enhances application throughput.
Take Out the TraChe - Maximizing Transactional Cache Hit Rate
Innovative caching system DeToX improves transaction performance by optimizing transactional hit rate, outperforming traditional methods with up to 130% increase in hit rate and 3.4x cache efficiency.
Kerveros - Efficient and Scalable Cloud Admission Control
Explore Kerveros, an innovative admission-control system for cloud computing that ensures high availability, scalability, and efficient resource usage while handling dynamic supply and demand changes.
Sky Computing
Explore the potential evolution of cloud computing ecosystems, drawing parallels with past technological transformations and discussing early findings in the field of Sky Computing.
Integrated Information Theory of Consciousness in Conventional Computing
Exploring how computer programs influence cause-effect structures in integrated information theory, challenging assumptions about consciousness in simulated systems.
Free Energy Minimisation for Perception as Inference
Explores predictive processing theory and free energy principle in perception, comparing Helmholtz machine and message passing approaches to neural inference and consciousness.
Learning to Predict Requires Integrated Information
Exploring how Integrated Information Theory quantifies consciousness in neural networks and its relationship with embodied intelligence and predictive learning in AI agents.