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Comparative Analysis of Cloud and Grid Computing Paradigms.

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Názov: Comparative Analysis of Cloud and Grid Computing Paradigms.
Autori: Morgan, Mona Saad Khalil
Zdroj: Egyptian Computer Science Journal; Sep2017, Vol. 41 Issue 3, p53-76, 24p
Predmety: HIGH performance computing, INFORMATION & communication technologies, CENTRAL processing units, CLOUD computing, INTERNET, INFORMATION storage & retrieval systems
Abstrakt: Despite the tremendous development within the information technology systems, we still need the continued development of these systems whereas, the problem is that there are many obstacles and problems facing the application of information and communication technology systems. The major motivation was that these high performance computing resources have been expensive and hard to get access to, so the starting point was to use federated resources that could comprise compute, storage and network resources from multiple geographically distributed institutions, and such resources are generally heterogeneous and dynamic. Also the main challenge for efficient scaling of applications is the location of the data relative to the available computational resources while moving the data repeatedly to distant CPUs is becoming the bottleneck. This research will throw light on the future Internet Computing will be towards Cloud Computing centralized, in which storage, computing, and all kind of other resources will mainly be provisioned by the Cloud, we envision that the next-generation Internet Computing will take the triangle model shown in Figure 4: Internet Computing will be centralized around Data, Clouding Computing, as well as Client Computing. We propose an efficient approach to reduce the cost of computing, increase reliability, and increase flexibility by transforming computers from something that we buy and operate ourselves to something that is operated by a third party, The application results reveal the effectiveness of proposed method to achieve a better cost with the advances of multi-core technology, the coming decade will bring the possibilities of having a desktop supercomputer with 100s to 1000s of hardware threads/cores. Furthermore, many end-users will have various hardware driven end-functionalities, such as visualization and multimedia playback, which will typically run locally. [ABSTRACT FROM AUTHOR]
Copyright of Egyptian Computer Science Journal is the property of Egyptian Computer Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Comparative Analysis of Cloud and Grid Computing Paradigms.
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  Data: <searchLink fieldCode="AR" term="%22Morgan%2C+Mona+Saad+Khalil%22">Morgan, Mona Saad Khalil</searchLink>
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  Data: Egyptian Computer Science Journal; Sep2017, Vol. 41 Issue 3, p53-76, 24p
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  Data: <searchLink fieldCode="DE" term="%22HIGH+performance+computing%22">HIGH performance computing</searchLink><br /><searchLink fieldCode="DE" term="%22INFORMATION+%26+communication+technologies%22">INFORMATION & communication technologies</searchLink><br /><searchLink fieldCode="DE" term="%22CENTRAL+processing+units%22">CENTRAL processing units</searchLink><br /><searchLink fieldCode="DE" term="%22CLOUD+computing%22">CLOUD computing</searchLink><br /><searchLink fieldCode="DE" term="%22INTERNET%22">INTERNET</searchLink><br /><searchLink fieldCode="DE" term="%22INFORMATION+storage+%26+retrieval+systems%22">INFORMATION storage & retrieval systems</searchLink>
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  Label: Abstract
  Group: Ab
  Data: Despite the tremendous development within the information technology systems, we still need the continued development of these systems whereas, the problem is that there are many obstacles and problems facing the application of information and communication technology systems. The major motivation was that these high performance computing resources have been expensive and hard to get access to, so the starting point was to use federated resources that could comprise compute, storage and network resources from multiple geographically distributed institutions, and such resources are generally heterogeneous and dynamic. Also the main challenge for efficient scaling of applications is the location of the data relative to the available computational resources while moving the data repeatedly to distant CPUs is becoming the bottleneck. This research will throw light on the future Internet Computing will be towards Cloud Computing centralized, in which storage, computing, and all kind of other resources will mainly be provisioned by the Cloud, we envision that the next-generation Internet Computing will take the triangle model shown in Figure 4: Internet Computing will be centralized around Data, Clouding Computing, as well as Client Computing. We propose an efficient approach to reduce the cost of computing, increase reliability, and increase flexibility by transforming computers from something that we buy and operate ourselves to something that is operated by a third party, The application results reveal the effectiveness of proposed method to achieve a better cost with the advances of multi-core technology, the coming decade will bring the possibilities of having a desktop supercomputer with 100s to 1000s of hardware threads/cores. Furthermore, many end-users will have various hardware driven end-functionalities, such as visualization and multimedia playback, which will typically run locally. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Egyptian Computer Science Journal is the property of Egyptian Computer Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: CENTRAL processing units
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      – SubjectFull: CLOUD computing
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      – SubjectFull: INTERNET
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              Text: Sep2017
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