Explain thread life cycle with proper state diagram.

 A thread can be in one of the five states. According to the sun, there are only 4 states in the thread life cycle in java new, runnable, non-runnable (blocked), and terminated. There is no running state But for better understanding the threads, it is better to explain it in the 5 states. The life cycle of the thread in java is controlled by JVM. The java thread states are as follows:


 New: The thread is in a new state if we create an instance of Thread class but before the invocation of the start() method. 

Runnable: The thread is in a runnable state after the invocation of the start() method, but the thread scheduler has not selected it to be the running thread. 

Running: The thread is in a running state if the thread scheduler has selected it for execution.

Non-Runnable (Blocked): This is the state when the thread is still alive but is currently not eligible to run. It may be waiting for a certain event to occur or for a specified time to be elapsed.

Terminated: A thread is in the terminated or dead state when its run() method exits.

Comments

Popular posts from this blog

Suppose that a data warehouse for Big-University consists of the following four dimensions: student, course, semester, and instructor, and two measures count and avg_grade. When at the lowest conceptual level (e.g., for a given student, course, semester, and instructor combination), the avg_grade measure stores the actual course grade of the student. At higher conceptual levels, avg_grade stores the average grade for the given combination. a) Draw a snowflake schema diagram for the data warehouse. b) Starting with the base cuboid [student, course, semester, instructor], what specific OLAP operations (e.g., roll-up from semester to year) should one perform in order to list the average grade of CS courses for each BigUniversity student. c) If each dimension has five levels (including all), such as “student < major < status < university < all”, how many cuboids will this cube contain (including the base and apex cuboids)?

Pure Versus Partial EC

Suppose that a data warehouse consists of the four dimensions; date, spectator, location, and game, and the two measures, count and charge, where charge is the fee that a spectator pays when watching a game on a given date. Spectators may be students, adults, or seniors, with each category having its own charge rate. a) Draw a star schema diagram for the data b) Starting with the base cuboid [date; spectator; location; game], what specific OLAP operations should perform in order to list the total charge paid by student spectators at GM Place in 2004?