SoftDC: software-based dynamically connected transport
- Authors
- Park, Jiwoong; Son, Yongseok; Yeom, Heon Young; Kim, Yoonhee
- Issue Date
- Mar-2020
- Publisher
- SPRINGER
- Keywords
- RDMA; Queue pair; DCT
- Citation
- CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, v.23, no.1, pp 347 - 357
- Pages
- 11
- Journal Title
- CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
- Volume
- 23
- Number
- 1
- Start Page
- 347
- End Page
- 357
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/38160
- DOI
- 10.1007/s10586-019-02926-0
- ISSN
- 1386-7857
1573-7543
- Abstract
- RDMA 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.
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Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
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