PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 8, 2026INTERNATIONAL JOURNAL OF RESEARCH AND ANALYTICAL REVIEWS0 citationsOpen Access

Integrating Probabilistic Forecasting and Capacity-Bound Overrides in Hyperscale Data Center Planning

VUVarun Uppalpati

Key Points

  • The aim is to enhance planning processes in hyperscale data centers through advanced forecasting and management techniques.
  • Developed a probabilistic forecasting model for data center resource demands.
  • Implemented capacity-bound overrides during peak times to optimize resource allocation.
  • Conducted simulations to assess the impact of integrated planning strategies.
  • Improved accuracy in resource demand predictions by 25%.
  • Reduced operational costs by 15% during peak loads.
  • Enhanced overall capacity utilization rates in hyperscale data centers.

Abstract

UGC-CARE list, New UGC-CARE Reference List, UGC CARE Journals, ugc care list of journal, ugc care list, UGC Approved list, list of ugc approved journal, ugc approved journal,IJRAR - international Research Journal,IJRAR.ORG,Ijrar.org, International Journal of Research and Analytical Reviews (IJRAR) , UGC Approved journal, ugc approved,ugc, ugc certify, publish free of cost, free publication, UGC and ISSN Approved , International Peer Reviewed, Open Access Journal , e ISSN 2348 –1269, Print ISSN 2349-5138, ISSN: 2348 –1269, Impact Factor : 5.75 , E- journal, Low Cost INR 500, Free Publication

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Varun Uppalpati (2026) studied this question.

synapsesocial.com/papers/69d5f05d74eaea4b11a79d86https://doi.org/10.56975/ijrar.v13i2.330533
Ask AI
Helpful
Bookmark
Share
View Full Paper