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Explore how Microsoft Teams adapted to enable remote education for millions during COVID-19, discussing challenges, solutions, and engineering strategies for large-scale online learning.
Explore a new model of operational debt in SRE, focusing on process gaps and risk. Learn to prioritize and address issues for improved service reliability and team collaboration.
Explores DeepSketch, a machine learning-based technique for post-deduplication delta compression in storage systems, improving data reduction efficiency through enhanced reference search accuracy.
Comprehensive field study analyzing operational characteristics of SSDs in enterprise storage systems, covering performance, lifespan, write amplification, and NAND usage rates across nearly 2 million drives.
Explores a novel solution to remove double-logging in LSM-tree based relational databases, improving performance and efficiency while maintaining data reliability and fast recovery.
Resilient remote memory system with low latency, high availability, and efficient erasure coding. Improves performance-efficiency tradeoff and reduces data loss probability under correlated failures.
Explores FusionFS, a firmware-level filesystem leveraging near-storage computation to reduce I/O bottlenecks through CISCOps, offering improved performance and faster recovery for applications.
Explore InfiniFS, an efficient metadata service for large-scale distributed filesystems, addressing challenges like load balancing, path resolution, and near-root hotspots.
Explores XFS filesystem scalability issues in manycore systems, proposing techniques like Double Committed Item List and Per-core In-memory Logging to enhance performance and reduce contention.
Explores innovative techniques to enhance BFS-like algorithm performance on semi-external graph systems, focusing on I/O efficiency improvements through strategic graph data pre-processing.
Explore PAIO, a framework for implementing portable I/O policies and optimizations across different applications with minimal code changes, improving performance and resource management in data-centric systems.
Explore efficient distributed transactions for disaggregated persistent memory using FORD, a system leveraging one-sided RDMA to improve throughput and reduce latency in remote memory pools.
Flexible multi-tenant persistent memory caching framework for efficient resource management, QoS guarantees, and performance isolation in cloud environments.
Innovative file system design leveraging hardware memory translation for persistent memory, enhancing performance by eliminating indexing overhead and improving efficiency in file operations.
Explore hardware-software cooperation for high-performance, strongly consistent persistent memory file systems using Hardware Transactional Memory, overcoming traditional trade-offs between speed and data integrity.
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