This article explains how Tencent's Mars framework provides a cross‑platform, high‑performance logging module (xlog) for mobile apps, covering its architecture, the evolution from V1.0 to V2.0, mmap usage, compression, encryption, and practical implementation details.
This article examines the design of WeChat's cross‑platform XLog module, detailing how it balances performance, reliability, and security through memory buffering, mmap usage, and efficient compression to provide smooth, loss‑less logging for mobile applications.
This article examines the design of Mars's cross‑platform xlog module, explaining why traditional file‑based logging harms app smoothness, how memory buffering, mmap, and stream‑compression overcome performance and reliability issues, and what practical challenges remain on Android and iOS.
The article explains Doom 3's deterministic client‑server network architecture, describing how player inputs are sent to the server, how compressed state snapshots are returned at 10‑20 Hz, and the UDP‑based reliable/unreliable messaging and compression methods used to keep the game synchronized.
This article explains the core features of backup software, focusing on data deduplication and compression techniques, including source‑side, target‑side, and media‑side deduplication, parallel deduplication architectures, replication methods, and hardware snapshot integration, illustrated with SimPana and AnyBackup examples.
This article examines WiredTiger’s novel data‑organization design, its in‑memory page and disk‑extent structures, skiplist‑based insert handling, MVCC update lists, compression mechanisms, and performance test results, providing practical configuration advice for MongoDB deployments.
This article explains MySQL 5.7 InnoDB's traditional compressed storage format, system page structures, external storage pages, encrypted and R‑TREE pages, the IO subsystem including asynchronous AIO handling and read‑ahead strategies, as well as buffer pool initialization, management, and concurrency control.
This article explains how Weibo’s massive image‑hosting platform uses a cross‑IDC distributed object storage system, optimized upload/download pipelines, and a custom compression library to handle billions of images and extreme traffic spikes during events like the Chinese New Year.
Oracle 12c’s In‑Memory Option (IMO) lets you store table, partition, and materialized view data in a columnar format within the SGA, offering faster query performance, configurable compression, priority settings, and detailed management via INMEMORY clauses, parameters, and specialized dictionary views.
This article examines how deduplication and compression technologies, widely used in backup environments, are adapted for primary storage systems—particularly HDD arrays—by analyzing differences in I/O size, patterns, performance requirements, resource allocation, and implementation approaches of major vendors such as NetApp and EMC.
All‑flash storage arrays increasingly rely on deduplication combined with compression to extend SSD lifespan, and this article explains the underlying block‑level workflow, hash‑based fingerprinting, and key implementation differences among vendors such as EMC Xtremio, Pure Storage, and HP 3PAR.
This article explains IBM DB2 BLU Accelerator’s columnar storage, multi‑level compression, TSN‑based logical rows, SIMD processing, intra‑parallel execution, probability‑based caching, and automatic admin features, showing how these technologies together deliver dramatic I/O and performance gains for analytical workloads.
This article explains how bitmap data structures, combined with compression and in‑memory techniques, enable fast, flexible, and scalable multi‑dimensional analytics for large‑scale data platforms, addressing historical marketing inefficiencies and outlining future directions such as memory‑mapped files and distributed bitmap computation.
This article explains how to reduce web page load time and bandwidth by applying lossless compression and format conversion to footer images using ImageMagick, provides practical command examples for Linux, macOS, and Windows, and quantifies the potential traffic savings.
This tutorial walks you through preparing the build environment, compiling APR, APR‑util and Apache httpd 2.4.9 on CentOS 6.6, configuring modules, adding environment variables, setting up CGI, compression and status pages, and verifying the installation with practical tests.
This article presents a practical performance comparison between TokuDB and InnoDB, covering compression ratio, insert speed, online DDL operations, CPU usage, IOPS, and response time, and concludes with the advantages and drawbacks of adopting TokuDB in production.
