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JD Retail Technology
JD Retail Technology
May 7, 2024 · Backend Development

Off‑Heap Cache (OHC) Practice: Reducing JVM GC Impact and Boosting C‑Side Interface Throughput

This article explains how using an off‑heap local cache (OHC) can dramatically lower GC pauses and cut interface latency by up to tenfold, covering the underlying principles, configuration, custom serializers, performance testing, monitoring metrics, and practical optimization recommendations for high‑traffic Java backend services.

OHCcachinggc
0 likes · 15 min read
Off‑Heap Cache (OHC) Practice: Reducing JVM GC Impact and Boosting C‑Side Interface Throughput
vivo Internet Technology
vivo Internet Technology
Sep 14, 2022 · Backend Development

Performance Optimization Practices in Vivo Push Recommendation Service

The Vivo Push recommendation service was dramatically accelerated by replacing regex‑based String.split with a custom utility, converting massive String‑key maps to long keys, and moving large caches off‑heap, which together cut latency by about 32%, boosted throughput roughly 45% and nearly doubled overall performance.

Hotspot CodeJVMgc
0 likes · 15 min read
Performance Optimization Practices in Vivo Push Recommendation Service
Mafengwo Technology
Mafengwo Technology
Aug 5, 2020 · Backend Development

Boost Recommendation Engine Performance with Off‑Heap Cache (OHC) in Java

This article explains the principles and practical implementation of the Java off‑heap cache framework OHC, detailing its architecture, memory allocation, serialization, configuration, and real‑world performance results within the MaFengWo recommendation engine, illustrating how it reduces latency and improves cache hit rates.

Recommendation Enginebackend cachingjava
0 likes · 18 min read
Boost Recommendation Engine Performance with Off‑Heap Cache (OHC) in Java