The Best Way to Optimize Garbage Collection for Java Applications
Discover the art of optimizing garbage collection in Java applications to enhance performance and reduce memory overhead.

In Java, the performance of an application greatly depends on memory management. Java garbage collection removes objects that no longer point to any active part of a program and is targeted by garbage collection. It keeps the application’s memory footprint minimal and efficient for you.
Java implements many garbage collectors. This means Java classifies objects according to their age or lifecycle stage. New objects are short-lived and have frequent GC cycles. Long-lived objects move to areas where GC cycles are less frequently enforced. To design a garbage collecting application, the programmer should understand the trade-off. The trade-off between throughput and latency is critical. The gc strategy adopted makes a significant impact on application performance.
This guide will take you through all the nitty-gritty of Java garbage collection. It’ll give you a complete overview of how GC works in Java and why it’s essential.
We will look into various garbage collectors available within the Java Virtual Machine, JVM.
We will also cover the effects of garbage collection on an application’s performance and user experience. We’ll dive into what might indicate inefficient garbage collection, and how to look at GC logs to analyze the problems and patterns, including some techniques in analyzing the log.
By the end of this guide, you will have a very good understanding of Java garbage collection optimization. You’ll be armed with the knowledge and tools to tune GC in your own Java applications.
Well, let’s get started and start optimizing your Java garbage collection process.
1. How Garbage Collection Works in Java
Java’s garbage collection is based on a concept called object reachability. When an object cannot be reached from any live threads, it becomes eligible for garbage collection.
The JVM is constantly checking objects and their references. This guarantees that only objects that are still in use consume memory resources. The garbage collection runs in cycles and scans and removes unreachable objects.
In Java, garbage collection is the process through which the system automatically cleans up unused objects to free memory. The process works as follows:
It locates objects that are still in use (live objects) and marks them.
It eliminates objects that are no longer needed.
Java’s GC divides memory into parts:
Java’s GC self-adjusts to balance speed, memory usage, and performance. Developers can fine-tune GC settings to make applications run better per need.
2. Garbage Collectors in the JVM
The Java Virtual Machine (JVM) comes with several garbage collectors. The JVM’s garbage collectors are designed to optimize memory usage. They are either optimized for throughput or latency, and sometimes both. Such optimizations can have a significant impact on application behavior.
Memory management strategy in JVM collectors is one where space allocation and deallocation are done efficiently by the collector. This happens to be a balance across generations and heap areas, which developers need to understand.
Some collectors are better suited when there is an application whose requirement is low latency while others favor throughput maximized. The choice of which to use depends on the workload in an application and its performance characteristics.
Here is a rapid overview of some JVM garbage collectors that are available:
2.1 Serial GC
Simple, one-threaded collector for tiny applications. The Serial Garbage Collector is the most basic JVM collector. It operates in a single-threaded manner. Serial GC is well-suited for small applications that do not require much memory management overhead
2.2 Parallel GC
The Parallel Garbage Collector takes a different approach by using multiple threads. This allows it to process garbage collection tasks faster than the Serial GC. Applications that can handle longer pause times for better throughput often choose Parallel GC.
2.3 CMS GC
The CMS Garbage Collector stands out for its focus on concurrency and low-pause times. It performs part of the GC process in parallel with the application’s execution. This reduces interruption to the application, benefiting applications that require smoother performance.
2.4 G1 GC (Garbage-First)
The G1 Garbage Collector is a modern alternative focusing on balancing throughput and pause times. It divides the heap into regions, allowing it to collect garbage incrementally and efficiently. G1 GC is beneficial for large-scale applications with substantial memory requirements.
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About the Creator
Vikas Singh
Vikas is the Chief Technology Officer (CTO) at Brilworks, leads the company's tech innovations with extensive experience in software development. He drives the team to deliver impactful digital solutions globally.



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