This article provides a concise overview of four major distributed storage solutions—HDFS, Ceph, FastDFS, and GlusterFS—detailing their architectures, advantages, drawbacks, and ideal use cases to help engineers choose the right system for large‑scale data workloads.
This article provides a concise technical overview of four major distributed storage solutions—HDFS, Ceph, GlusterFS, and FastDFS—covering their architecture, key features, pros and cons, and typical use cases for large‑scale data processing and storage.
This article examines the necessity of caching in ad‑search workloads, evaluates classic eviction policies such as LRU, LFU, Redis Approx‑LRU, OS PageCache, DoubleClock, ARC, 2Q, TinyLFU, and presents a layered TLS‑centered cache design (SsdEngine) with detailed benchmark results showing hit‑rate and latency improvements across Zipfian and uniform workloads.
This article provides a detailed overview of modern data center architecture, covering physical and IT infrastructure, network topologies such as three‑tier and spine‑leaf, storage solutions like DAS, NAS and SAN, server designs, cloud data‑center components, physical site considerations, and various data‑center deployment models.
As enterprise data volumes surge, modern storage systems must deliver high availability, fault tolerance, multi‑protocol support, backup, snapshot, and cloning capabilities, often through distributed architectures that boost reliability, scalability, and cost efficiency while ensuring rapid data recovery.
This article explains the concepts of data loss and corruption, defines "data not lost" and "data not wrong", examines common bit‑flip sources in disks, memory, and networks, explores silent CPU errors, and presents design, detection, and recovery strategies for reliable storage systems.
This article surveys the 2019 GraphTech ecosystem, detailing the rapid growth of graph databases, market drivers, ecosystem layers, and the variety of native and multi‑model storage systems that support graph‑structured data.
This article explains why metadata management is crucial for storage systems and reviews four typical approaches—initial external‑DB storage, in‑memory loading, partitioned services with a proxy layer, and tiered caching/persistence—illustrated with diagrams and real‑world examples.
This article explains the fundamentals, performance characteristics, and system‑software implications of emerging non‑volatile main memory technologies such as PCM, ReRAM, STT‑MRAM, and Intel Optane, and explores how they reshape the traditional storage hierarchy and drive hybrid storage designs.
This article outlines a comprehensive web system architecture, detailing the layered components—from flexible load‑balancing strategies and service communication layers to various storage solutions—while highlighting practical considerations, trade‑offs, and best‑practice recommendations for building scalable, reliable backend services.
This article introduces the Paxos consensus algorithm, explains its roles, safety and liveness constraints, describes the challenges of member‑group reconfiguration, and presents a proprietary two‑phase Paxos approach used by Baishan Cloud Storage to safely change cluster membership while maintaining service continuity.
