Emerging Research in Computing, Information, Communication and Applications by N. R. Shetty L. M. Patnaik N. H. Prasad & N. Nalini
Author:N. R. Shetty, L. M. Patnaik, N. H. Prasad & N. Nalini
Language: eng
Format: epub
Publisher: Springer Singapore, Singapore
2 Traditional Approaches Vs. Cloud
To understand why troubleshooting performance issues and analysis of capacity in cloud environments are more difficult, we need to understand how the traditional approach differs from the cloud approach. Traditionally there was one physical machine hosting one application on one operating system. If the machine runs out of primary memory then the application running on that machine will be impacted. This will not impact any other applications and machines in the same network. But in cloud environments, all the virtual machines could be hosted on a single physical machine; there are possibilities that virtual machines are seeking more resources in order to process the user requests. Virtual machines are impacted when the memory of the host machines is utilized to its full capacity and in addition, a new application tries to access the same memory.
User expectations have changed due to the emergence of cloud computing . Users want to be connected on the go from any devices, anywhere. These user expectations or requirements lead to more innovations, which in turn increase the complexity of the system, which in turn leads to more complexity in resolving issues based on capacity and performance. Cloud computing, when compared to the traditional approach might seem to have a lot of drawbacks, but can be overcome by taking proper steps like using appropriate tools that will help in understanding the environment in detail, which helps in troubleshooting capacity-related issues. Issues can be prevented prior to their occurrence and the complexity in the cloud can be minimized with the help of these tools.
There are a few more important questions to be answered to achieve efficient capacity management in a virtualized cloud environment. The questions are as follows:1.What am I doing with my current capacity?
Download
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
Algorithms of the Intelligent Web by Haralambos Marmanis;Dmitry Babenko(8309)
Test-Driven Development with Java by Alan Mellor(6776)
Data Augmentation with Python by Duc Haba(6691)
Principles of Data Fabric by Sonia Mezzetta(6437)
Learn Blender Simulations the Right Way by Stephen Pearson(6337)
Microservices with Spring Boot 3 and Spring Cloud by Magnus Larsson(6211)
Hadoop in Practice by Alex Holmes(5965)
Jquery UI in Action : Master the concepts Of Jquery UI: A Step By Step Approach by ANMOL GOYAL(5813)
RPA Solution Architect's Handbook by Sachin Sahgal(5608)
Big Data Analysis with Python by Ivan Marin(5388)
The Infinite Retina by Robert Scoble Irena Cronin(5300)
Life 3.0: Being Human in the Age of Artificial Intelligence by Tegmark Max(5155)
Pretrain Vision and Large Language Models in Python by Emily Webber(4353)
Infrastructure as Code for Beginners by Russ McKendrick(4117)
Functional Programming in JavaScript by Mantyla Dan(4042)
The Age of Surveillance Capitalism by Shoshana Zuboff(3961)
WordPress Plugin Development Cookbook by Yannick Lefebvre(3833)
Embracing Microservices Design by Ovais Mehboob Ahmed Khan Nabil Siddiqui and Timothy Oleson(3633)
Applied Machine Learning for Healthcare and Life Sciences Using AWS by Ujjwal Ratan(3606)
