I am trying to understand some concepts related to distributed systems , grid and cloud computing.
So I need some good papers to know about these concepts.
Can anyone provide some good references ?
Thank you in Advance.
Best Regards
Khadidja BELATTAR
This question has been asked many times before!
https://www.researchgate.net/post/What_are_the_major_differences_between_Grid_Computing_and_Cloud_Computing
Answers abound on the Internet.
I will add some links here.
https://www.quora.com/What-is-the-difference-between-grid-cloud-cluster-and-distributed-computing
https://www.dezyre.com/article/cloud-computing-vs-distributed-computing/94
http://www.brighthub.com/environment/green-computing/articles/68785.aspx
http://stackoverflow.com/questions/1067987/what-is-the-difference-between-cloud-computing-and-grid-computing
The main difference between the Cloud Computing and the Grid Computing is virtualization and service level agreement.
You can also use these links :
http://www.llrx.com/2016/03/grid-distributed-and-cloud-computing-resources-2016/
http://searchsoa.techtarget.com/answer/The-distinction-between-grid-and-cloud-computing
https://www.ijarcsse.com/docs/papers/Volume_5/5_May2015/V5I5-0349.pdf
http://esatjournals.net/ijret/2013v02/i09/IJRET20130209022.pdf
Cloud computing and Grid computing are the two words that end up confusing many people as they are similar in theory. Cloud computing and Grid computing involves massive computer network infrastructure.
On the front end, cloud computing and grid computing are newer concepts compared to other large computing solutions. Both concepts have been developed for the purpose of distributed computing, that is, computing an element over a large area, literally on computers that are separated by some or the other means.
Well there are many reasons people prefer Distributed computing over single processor computing, and here they are:
• The reason to opt for distributed computing is to offer parallel or concurrent computational resources to the users. The concept of queue has been over taken. Requests don’t actually have to wait in a queue to get serviced one after the other.
• Distributed computers make use of every spare moment your processor is idle.
• Distributed computing systems are made up of many systems, so if one crashes other is unaffected.
• Distributed model scales very well. Need more compute resources? Just plug them in by installing client on additional desktops or servers.
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