DILATON: Multi-dimensional Quantum Deficit Algorithm for Multi-Tenant SSD Resource Allocation

Shirish Bahirat, Madhurima Ray, Hamed Seyedroudbari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In modern cloud infrastructures, multi-Tenancy and virtualization are common, yet optimizing resource allocation while maintaining performance is challenging due to complex Solid State Device (SSD) physics. Over-provisioning resources often leads to revenue loss and higher infrastructure costs. To address this, we introduce DILATON, an adaptive closed-loop scheduler that balances bandwidth and QoS across tenants. By predicting die loading and using real-Time adaptation, DILATON maximizes resource allocation, achieves performance gains, and reduces costs while meeting SLAs. This paper uses simulations to emphasize the necessity of a closed-loop QoS control.

Original languageEnglish (US)
Title of host publicationProceedings - 2024 IEEE 32nd International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, MASCOTS 2024
PublisherIEEE Computer Society
ISBN (Electronic)9798331531300
DOIs
StatePublished - 2024
Event32nd IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, MASCOTS 2024 - Krakow, Poland
Duration: Oct 21 2024Oct 23 2024

Publication series

NameProceedings - IEEE Computer Society's Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, MASCOTS
ISSN (Print)1526-7539

Conference

Conference32nd IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, MASCOTS 2024
Country/TerritoryPoland
CityKrakow
Period10/21/2410/23/24

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Software
  • Modeling and Simulation

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