An on Demand Virtual CPU Arhitecture based on Cloud Infrastructure
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Date
2017
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Scitepress
Open Access Color
HYBRID
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
Cloud technology provides different computational models like, including but not limited to, infrastructure, platform and software as a service. The motivation of a cloud system is based on sharing resources in an optimal and cost effective way by creating virtualized resources that can be distributed easily but the distribution is not necessarily parallel. Another disadvantage is that small computational units like smart devices and less powerful computers, are excluded from resource sharing. Also different systems may have interoperability problems, since the operating system and CPU design differs from each other. In this paper, an on demand dynamically created computational architecture, inspired from the CPU design and called Cloud CPU, is described that can use any type of resource including all smart devices. The computational and data transfer requirements from each unit are minimized. Because of this, the service can be created on demand, each time with a different functionality. The distribution of the calculation over not-so-fast internet connections is compensated by a massively parallel operation. The minimized computational requirements will also reduce the interoperability problems and it will increase fault tolerance because of increased number of units in the system.
Description
Gokcay, Erhan/0000-0002-4220-199X
ORCID
Keywords
Cloud Framework, Parallel Computation, CPU on Demand, Cloud CPU
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0210 nano-technology
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
2
Source
7th International Conference on Cloud Computing and Services Science (CLOSER) -- APR 24-26, 2017 -- Porto, PORTUGAL
Volume
Issue
Start Page
323
End Page
329
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Citations
Scopus : 2
Captures
Mendeley Readers : 2
SCOPUS™ Citations
2
checked on Feb 10, 2026
Web of Science™ Citations
1
checked on Feb 10, 2026
Page Views
5
checked on Feb 10, 2026
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