Veri ve Nesne Türlerinin Java Sanal Makinasına Olan Etkisi

Yıl 2018, Cilt: 34 Sayı: 2, 8 - 11, 31.08.2018

Abdullah Talha Kabakuş

Öz

How the data is stored in the memory becomes more
critical when the size of data increases. The programming languages define data
and object types that can be used while programming. Most programming languages
provide more than one data and object type in order to let developers use more
sensitive types which address their needs. Memory management is a key concept
for the data-intensive systems. Also, the NoSQL databases, which are
alternatives to relational database management systems, tend to store the data
on memory and serve the data from memory. In this study, the effect of data and
object types on Java Virtual Machine is evaluated in order to reveal its effect
on Java programming language. Experimental results reveal some key points for developers to use memory more efficiently.

Anahtar Kelimeler

Java virtual machine, variable type, data storage, Java

The Effect of Data and Object Types on Java Virtual Machine

Öz

How the data is stored in the memory becomes more critical when the size of data increases. The programming languages define data and object types that can be used while programming. Most programming languages provide more than one data and object type in order to let developers use more sensitive types which address their needs. Memory management is a key concept for the data-intensive systems. Also, the NoSQL databases, which are alternatives to relational database management systems, tend to store the data in memory and serve the data from memory. In this study, the effect of data and object types on Java Virtual Machine is evaluated in order to reveal its effect on Java programming language. Experimental results reveal some key points for developers to use memory more efficiently.

Anahtar Kelimeler

Java, Java virtual machine, variable type, data storage

Kaynakça

• [1] P. Sestoft, “Java performance Reducing time and space consumption,” 2005.
• [2] T. Cramer, R. Friedman, T. Miller, D. Seberger, R. Wilson, and M. Wolczko, “Compiling Java just in time,” IEEE Micro, vol. 17, no. 3, pp. 36–43, 1997.
• [3] B. Venners, “Java’s garbage-collected heap,” JavaWorld, 1996.
• [4] T. Ritzau and P. Fritzson, “Decreasing memory overhead in hard real-time garbage collection,” in Second International Conference (EMSOFT 2002), 2002, pp. 213–226.
• [5] L. Prechelt, “An empirical comparison of seven programming languages,” IEEE Comput., vol. 33, no. 10, pp. 23–29, 2000.
• [6] A. W. Appel, “Garbage collection can be faster than stack allocation,” Inf. Process. Lett., vol. 25, no. 4, pp. 275–279, 1987.
• [7] X. Zhang and M. Seltzer, “HBench: JGC-An Application-Specific Benchmark Suite for Evaluating JVM Garbage Collector Performance,” in 6th USENIX Conference on Object-Oriented Technologies and Systems, 2001.
• [8] M. Larose and M. Feeley, “A Compacting Incremental Collector and its Performance in a Production Quality Compiler,” in 1st International Symposium on Memory Management, 1998, pp. 1–9.
• [9] P. A. González, “Applying knowledge modelling and case-based reasoning to software reuse,” IEE Proc. - Softw., vol. 147, no. 5, pp. 169–177, 2000.
• [10] Subham Mittal, “5 Difference between ArrayList and LinkedList in Java with Example,” 2015. [Online]. Available: http://javahungry.blogspot.com/2015/04/difference-between-arraylist-and-linkedlist-in-java-example.html. [Accessed: 11-Oct-2017].
• [11] D. Flanagan, Java In A Nutshell, 2nd ed. California, USA: O’Reilly Media, 2002.