Introduction in Java Concurrency
Java is a programming language. It supports concurrent programming. Here all processes done in threads. Resources in Java virtual machine shared by any or several threads. Any object or resource in the program accessed by each thread. In this case the programmers must make sure that it manages access to resources. It means only one thread can use resources at that time. Other threads must prevent from using updated resources. As a programming language, Java has native support to manage resources. It is called Java Concurrency. Java training institutes in Kukatpally. For several reasons concurrency is useful. It minimizes response lag, maximizes throughput, simulates autonomous objects for modeling. It allows overlapping I/O and exploiting multiprocessors for parallelism. Java threads using concurrency must protected by locks. Concurrency implementation results in increase in complexity. It can lead to higher resource usage. A concurrency library needed for different threads using a shared resource. In either on one core or on multicore. The Java concurrency library allows shared-memory concurrency. Message passing and distributed concurrency need extra frameworks. While executing computations in a concurrent system can interact with each other. In the system, the possible number of execution paths can be large. In concurrent computation, the result can be Indeterminacy. Indeterminacy is a source of concurrent use of shared resources. This leads to issues such as deadlock and Resource starvation.
When protecting accesses from concurrent threads by locks, deadlocks can arise. This is of the fact that some threads are accessing same memory. These threads can be working at the same time with parallel programming. But it can be possible that one thread paused with concurrency. Here another thread tries to access same memory. Java concurrency library cannot ensure deadlocks do not occur, but provides lock. To write code in a message passing style is alternative to using locks. Java training in Hyderabad Kukatpally. The concurrent components communicate by passing messages in message passing communication. Until the message received, the message passing done by blocking the sender. Passing messages in asynchronous manner may be reliable or unreliable. Message passing concurrency seems to be easier to understand than shared memory concurrency. As it looks more logical at first glance. In concurrent programming, it's considered to be a robust form. Various mathematical theories are there to help understand message passing system.