A Comparative Analysis of Distributed and Parallel Computing

Authors

  • Khawaja Ubaid ur Rehman Department of Computer Science, University of Management and Technology, Lahore, Punjab, Pakistan
  • Kh. Raees Ur Rahman Services Institute of Medical Sciences, Lahore, Punjab, Pakistan
  • Adeel Ashraf Department of Computer Science, University of Management and Technology, Lahore, Punjab, Pakistan

DOI:

https://doi.org/10.21015/vtse.v13i2.507

Abstract

In the age of emerging technologies, the amount of data is increasing very rapidly. Due to massive increase of data the level of computations are increasing. Computer executes instructions sequentially. But the time has now changed and innovation has been advanced. We are currently managing gigantic data centers that perform billions of executions on consistent schedule. Truth be- hold, if we dive deep into the processor engineering and mechanism, even a successive machine works parallel. Parallel computing is growing faster as a substitute of distributing computing. The performance to functionality ratio of parallel systems is high. Also, the I/O usage of parallel systems is lower because of ability to perform all operations simultaneously. On the other hand, the performance to functionality ratio of distributed systems is low. The I/O usage of distributed systems is higher because of incapability to perform all operations simultaneously. In this paper, an overview of distributed and parallel computing is described. The basic concept of these two computing is discussed. In addition to this, pros and cons of distributed and parallel computing models are described. Through many aspects, we can conclude that parallel systems are better than distributed systems. 

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Published

2018-07-13

How to Cite

Rehman, K. U. ur, Rahman, K. R. U., & Ashraf, A. (2018). A Comparative Analysis of Distributed and Parallel Computing. VFAST Transactions on Software Engineering, 7(1), 42–49. https://doi.org/10.21015/vtse.v13i2.507

Issue

Vol. 7 No. 1 (2019): January-December

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