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How to analyze the internal structure of the JVM virtual machine, many novices are not very clear about this, in order to help you solve this problem, the following editor will explain for you in detail, people with this need can come to learn, I hope you can gain something.

Internal structure of JVM virtual machine

The JVM virtual machine is the core of the Java platform. In order to better interpret and execute the compiled bytecode, JVM is mainly divided into six parts. Readers who want to understand the overall execution principle of JVM can refer to "Inside JVM"]:

JVM interpreter: that is, the CPU that the virtual machine processes the field code.

JVM instruction system: this system is very similar to a computer. An instruction consists of an opcode and an Operand. The opcode is an 8-bit binary number, which is mainly used to illustrate the function of an instruction. The operands can be determined according to needs. The JVM virtual machine has up to 256 different operation instructions.

Registers: JVM has its own virtual registers, so you can quickly exchange data with JVM's interpreter. For functional purposes, the JVM virtual machine sets up four commonly used 32-bit registers: pc (program counter), optop (Operand stack top pointer), frame (current execution environment pointer) and vars (pointer to * local variables in the current execution environment).

JVM stack: the place and control center where data and information are stored during instruction execution. It provides the information needed for the operation of the JVM interpreter.

Storage area: the JVM storage area is used to store compiled bytecode and other information.

Debris recovery area: JVM fragment collection refers to the collection of specific instances of used Java classes from memory, which frees developers from the hassle and danger of programming to control memory. With the continuous upgrading of JVM, the technology and algorithm of fragment recovery become more reasonable. After version 1.4.1 of JVM, there is a technology called generational collection, which is simply divided into generations based on the time objects live in the program, which is used as a standard for fragment recovery.

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