A process is the basic unit in which an application runs. A process is a scheduling process for computer resources. The resources grab the running memory of the computer. The startup of an application service opens a process. A complete process consists of a main thread, a user thread and a daemon thread. The main thread is running when an application service is started. User threads are divided into parent user threads and child threads.
A computer consists of a memory and a processor operating in tandem. The operating system of a computer is designed at first to be a time-scheduled and task-scheduled mode of operation. Larger machines with fewer users could tolerate the dissonance of time scheduling and task scheduling. As the personalPCWith the introduction of computers, a user-based approach to operating system design for time-slice asynchronous task operation is guaranteed in terms of user experience and performance.
A scheduling unit is a thread in a process.JavaThe threads in theThreadClasses are constructed. Threads are scheduled through the computer's runtime processor. The central system processorCPUto operate the thread asynchronously. After the thread is built override theThread(used form a nominal expression)runThe method interface handles the task data. Scheduling of threads is done by the system's scheduling framework which forms the task scheduling center for threads. Some operations with fewer tasks can be accomplished using asynchronous thread pooling.
Framework-level thread scheduling frameworks likeJava(used form a nominal expression)QuartzTimed task scheduling. The asynchronous thread pool is based on the corresponding computer hardware memory pool design. The single-task data processing center allocates a thread by default to complete data processing operations. The task scheduling center completes the distributed business module scheduling data processing by configuring the corresponding scheduling time expression. The construction of the cluster makes the asynchronous business data processing in terms of fault tolerance and performance to ensure the normal operation of the data.
The microservices framework splits an application service into sub-service modules. Different clusters of computer nodes handle different business units. The division of microservices can be split by business modules. The division of different types of user threads also forms different microservice modules in the Internet. Clusters of machines where machine hardware handles data, memory hardware is split separately to form data storage areas. Optimization of some algorithms will speed up the amount of business logic of scheduling threads to process data. Massive amount of data storage will be divided in different blocks for production.