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SoftDC: software-based dynamically connected transport

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dc.contributor.authorPark, Jiwoong-
dc.contributor.authorSon, Yongseok-
dc.contributor.authorYeom, Heon Young-
dc.contributor.authorKim, Yoonhee-
dc.date.available2020-04-10T02:20:28Z-
dc.date.issued2020-03-
dc.identifier.issn1386-7857-
dc.identifier.issn1573-7543-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/38160-
dc.description.abstractRDMA is increasingly becoming popular not only in HPC but also in data centers where high throughput and low latency are critical requirements. RDMA supports several types of transports, each of which has different characteristics, so that users can choose the right one to meet their requirements. Reliable connected (RC) transport has advantages on usability but disadvantages on scalability while unreliable datagram (UD) transport is scalable but hard to use. Dynamically connected (DC) transport has been newly introduced to address these limitations when using one of the existing transports while delivering both usability and scalability. However, despite all of these merits, DC transport is not yet generally adopted in the related fields due to hardware dependency. To eliminate the hardware dependency, in this paper, we design and implement SoftDC, a totally software-based DC transport. SoftDC uses the basic RDMA primitives to emulate the behavior of DC transport; UD transport for connection and RC transport for data transfer. We build and evaluate a SoftDC transport-based application to prove its effectiveness compared with RC transport-based one. Our experimental results show that our scheme has potential to provide the advantages of both RC and UD transports although our prototype has large connection establishment costs that can be amortized across a large data transfer.-
dc.format.extent11-
dc.language영어-
dc.language.isoENG-
dc.publisherSPRINGER-
dc.titleSoftDC: software-based dynamically connected transport-
dc.typeArticle-
dc.identifier.doi10.1007/s10586-019-02926-0-
dc.identifier.bibliographicCitationCLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, v.23, no.1, pp 347 - 357-
dc.description.isOpenAccessN-
dc.identifier.wosid000512937700021-
dc.identifier.scopusid2-s2.0-85063199468-
dc.citation.endPage357-
dc.citation.number1-
dc.citation.startPage347-
dc.citation.titleCLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS-
dc.citation.volume23-
dc.type.docTypeArticle-
dc.publisher.location미국-
dc.subject.keywordAuthorRDMA-
dc.subject.keywordAuthorQueue pair-
dc.subject.keywordAuthorDCT-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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소프트웨어대학 (소프트웨어학부)
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