Profit-Driven Service-Chain Deployment for EDA Requests on Private Cloud

Willy Y.W. Hsu, Jiun Cheng Tsai, John C.L. Tang, Charles H.P. Wen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Cloud computing is becoming a pervasive technology in many fields. However, the EDA field has not yet developed a working prototype that employs the commercial tools as services and deploys them on the cloud. Therefore, in this paper, we aim at three core problems: request acceptance, service schedule, and resource deployment on private EDA clouds, and give an integrated solution for processing requests. Compared to Conventional Inclusion (C.I.), total profit can increase under a high arrival rate by 29% after applying Progressive Inclusion (P.I.). Meanwhile, the non-preemptive, penalty-considered, Least Slack First Scheduling deals with the order of services to be scheduled. As to resource deployment, parcel-fit (PF) outperforms best-fit (BF) and first-fit (FF) by 5% and 18% on total profits under a high arrival rate. To sum up, the proposed solution provides an effective way to build a private EDA cloud with more profits than the conventional solution.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE 9th International Conference on Cloud Networking, CloudNet 2020
EditorsOscar Mauricio Caicedo Rendon
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728194868
DOIs
StatePublished - 9 Nov 2020
Event9th IEEE International Conference on Cloud Networking, CloudNet 2020 - Virtual, Piscataway, United States
Duration: 9 Nov 202011 Nov 2020

Publication series

NameProceedings - 2020 IEEE 9th International Conference on Cloud Networking, CloudNet 2020

Conference

Conference9th IEEE International Conference on Cloud Networking, CloudNet 2020
CountryUnited States
CityVirtual, Piscataway
Period9/11/2011/11/20

Keywords

  • cloud
  • resource deployment
  • schedule
  • SFC
  • SLA

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