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Answer:
C. The main method proceeds to the next statement following the t3.join(); statement
Explanation:
join() method allows the thread to wait for another thread and completes its execution. If the thread object is executing, then t3.join() will make that t is terminated before the program executes the instruction. Thread provides the method which allows one thread to another complete its execution. If t is a thread object then t.join() will make that t is terminated before the next instruction. There are three overloaded functions.
join()
join(long mills)
join(long millis, int Nanos)
If multiple threads call the join() methods, then overloading allows the programmer to specify the period. Join is dependent on the OS and will wait .
The internet has billions of users, and is gaining more everyday. As people gain more and more technological resources, it becomes easier for them to steal people’s information.
Answer:
Yes
Explanation:
For example, We need to write down the names of student in a school for survey purposes, rather than tell everyone to write their names on a sheet of paper and submit, we can instruct that names be written according to their classes and then written on the class sheets alphabetically.
Logically names will be written according to the classes from Class 1 - 10, then on the class sheet alphabetically from A - Z. its better represented that way for easy understanding and better collation and interpretation of data.
Solution:
The process of transaction can guarantee the reliability of business applications. Locking resources is widely used in distributed transaction management (e.g; two phase commit, 2PC) to keep the system consistent. The locking mechanism, however, potentially results in various deadlocks. In service oriented architecture, the deadlock problem becomes even worse because multiple transactions try to lock shared resources in the unexpectable way due to the more randomicity of transaction requests, which has not been solved by existing research results. In this paper, we investigate how to prevent local deadlocks, caused by the resource competition among multiple sub-transactions of a gl obal transaction, and global deadlocks from the competition among different global transactions. We propose a replication based approach to avoid the local deadlocks, and a timestamp based approach to significantly mitigate the global deadlocks. A general algorithm is designed for both local and global deadlock prevention. The experimental results demonstrate the effectiveness and efficiency of our deadlock prevention approach. Further, it is also proved that our approach provides higher system performance than traditional resource allocation schemes.
This is the required answer.