Fault Tolerance of Data Center under Multi-Correlated Failures

S. M. Ali, Nauman Khan Tareen, Irfan Sami, Zahid Ullah, Khalid Salman Khan, Umar Farid, Bilal Khan, C. A. Mehmood, M. Jawad

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

Abstract

Multi-correlated failures lead to severe power outages in an inter-connected power network. The critical loads of the data center, such as servers and chillers are highly dependent on the grid power. The service reliability and fault tolerance of the data center becomes challenging under multi-correlated failures. Data miss-management and service unavailability under such scenario will result in the massive revenue loss. To address this problem under multi-correlated failures, a fault tolerant model is proposed to minimize the revenue loss. Moreover, considering the system dynamics, our model maximizes throughput and operational time of the data center. Furthermore, we formulate a stochastic optimized system model that captures power consumption, power distribution, data center generation, data center workload, service deadline, and revenue loss. The effectiveness of the proposed fault-tolerant model is tested and validated using real-time data.

Original languageEnglish
Title of host publicationRAEE 2018 - International Symposium on Recent Advances in Electrical Engineering
EditorsMuhammad Shahid Nazir, Shahzad Nadeem
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538682043
DOIs
StatePublished - 2 Jul 2018
Externally publishedYes
Event2nd International Symposium on Recent Advances in Electrical Engineering, RAEE 2018 - Islamabad, Pakistan
Duration: 17 Oct 201818 Oct 2018

Publication series

NameRAEE 2018 - International Symposium on Recent Advances in Electrical Engineering

Conference

Conference2nd International Symposium on Recent Advances in Electrical Engineering, RAEE 2018
Country/TerritoryPakistan
CityIslamabad
Period17/10/1818/10/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Data processing
  • Energy consumption
  • Load flow
  • Power distribution
  • Query processing

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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