Cost Optimization and Performance Control in the Hybrid Multi-cloud Environment

Escalating cloud costs and unpredictable performance are major challenges for organizations, particularly when deploying Generative AI (GenAI) applications in hybrid multi-cloud environments-a market projected to reach nearly 20 trillion by 2030.

Authors

Boris E. Zibitsker (ORCID: https://orcid.org/0009-0007-5282-502X)
Alexander Lupersolsky

Publication Details

Published: 2025-05-03
DOI: https://doi.org/10.1145/3676151.3722007
Primary Topic: Advanced Queuing Theory Analysis
Type: article
Field-Weighted Citation Impact: 0.00

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article

Cost Optimization and Performance Control in the Hybrid Multi-cloud Environment

Boris E. Zibitsker, Alexander Lupersolsky

May 3, 2025

Advanced Queuing Theory Analysis

article

Cost Optimization and Performance Control in the Hybrid Multi-cloud Environment

Boris E. Zibitsker, Alexander Lupersolsky

May 3, 2025article en

Abstract

Openalex Percentile: Top 85%

Advanced Queuing Theory Analysis

DOI Source OpenAlex

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Cost Optimization and Performance Control in the Hybrid Multi-cloud Environment — Boris E. Zibitsker, Alexander Lupersolsky · (2025) | TGRS Research Map | TGRS