A Decentralized on Demand Cloud Cpu Design With Instruction Level Virtualization

dc.authorscopusid 7004217859
dc.contributor.author Gokcay,E.
dc.contributor.other Software Engineering
dc.date.accessioned 2024-07-05T15:45:17Z
dc.date.available 2024-07-05T15:45:17Z
dc.date.issued 2018
dc.department Atılım University en_US
dc.department-temp Gokcay E., Software Engineering Department, Atilim University, Incek, Ankara, Turkey en_US
dc.description.abstract Cloud technology provides many advantages and provides many services over traditional computational models. Although the provided virtual services increase resource sharing and cost effectiveness of the system, each node in the system is still centralized. Different CPU and OS versions bring interoperability problems in data exchange between nodes. In most cases less powerful units are left outside the service area. These units can only be considered as consumers of the cloud system. A new service called Cloud CPU is described elsewhere where the cloud provides the computational background for the components of a virtual CPU and the computation is distributed over internet. The design is using all units connected to the internet and it achieves a massively parallel operation. In this paper, the design of Cloud CPU will be extended and description of services needed with the new architecture will be discussed. One of the new services needed is a multi-language compiler where the target language is not fixed as well as the source language. The job of the compiler is not using the cloud for execution but to distribute the computation depending on the provided instruction sets published by each node. The computation makes sense only when all units work together and there is a need to synchronize and connect all nodes included in a particular computation. The need for synchronization will be gone when the computation is finished. Therefore an on demand Cloud-OS service is needed for bookkeeping and synchronization. The need for the Cloud-OS is temporary and the on demand initiated Cloud-OS will be terminated when the computation is ended. © Springer International Publishing AG, part of Springer Nature 2018. en_US
dc.identifier.citationcount 0
dc.identifier.doi 10.1007/978-3-319-94959-8_3
dc.identifier.endpage 60 en_US
dc.identifier.isbn 978-331994958-1
dc.identifier.issn 1865-0929
dc.identifier.scopus 2-s2.0-85050377523
dc.identifier.scopusquality Q4
dc.identifier.startpage 46 en_US
dc.identifier.uri https://doi.org/10.1007/978-3-319-94959-8_3
dc.identifier.uri https://hdl.handle.net/20.500.14411/3894
dc.identifier.volume 864 en_US
dc.institutionauthor Gökçay, Erhan
dc.language.iso en en_US
dc.publisher Springer Verlag en_US
dc.relation.ispartof Communications in Computer and Information Science -- 7th International Conference on Cloud Computing and Service Science, CLOSER 2017 -- 24 April 2017 through 26 April 2017 -- Porto -- 216029 en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 0
dc.subject Cloud Compiler en_US
dc.subject Cloud CPU en_US
dc.subject Cloud framework en_US
dc.subject CPU on demand en_US
dc.subject On demand configuration en_US
dc.subject Parallel computation en_US
dc.subject Virtualization en_US
dc.title A Decentralized on Demand Cloud Cpu Design With Instruction Level Virtualization en_US
dc.type Conference Object en_US
dspace.entity.type Publication
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