Overview of Baidu's Wànxiàng System for Large‑Scale Rich Media Processing

Baidu’s Wànxiàng system processes billions of images and videos daily by extracting low‑ and high‑level features, linking related media, and aggregating semantic attributes in a scalable, timely architecture that leverages thousands of CPU, GPU, and FPGA cores to power accurate, low‑latency rich‑media search and recommendation.

Artificial IntelligenceBaiduImage Analysis

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Overview of Baidu's Wànxiàng System for Large‑Scale Rich Media Processing

MaGe Linux Operations

May 4, 2017 · Big Data

How to Process 100GB Logs and Massive Datasets with Hash Partitioning and Bloom Filters

This article explains the definition and 4V characteristics of big data and presents practical algorithms—including hash partitioning, min‑heap top‑K selection, bitmap extensions, and Bloom filter techniques—to efficiently handle ultra‑large log files, integer sets, and keyword searches within strict memory limits.

Big DataBitmapHash Partitioning

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How to Process 100GB Logs and Massive Datasets with Hash Partitioning and Bloom Filters

21CTO

Dec 18, 2015 · Operations

How JD’s Order Fulfillment Center Scales to Millions of Orders During Mega‑Sales

This article explains how JD.com’s Order Fulfillment Center (OFC) was built, re‑engineered, and continuously optimized to handle massive order volumes during major sales events, covering its architecture, migration from .Net to Java, distributed task queues, flow control, and operational practices that ensure reliability and scalability.

OperationsScalabilitye‑commerce

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How JD’s Order Fulfillment Center Scales to Millions of Orders During Mega‑Sales