ABACUS: A FinOps Service for Cloud Cost Optimization
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Abstract (arXiv)
In recent years, as more enterprises have moved their infrastructure to the cloud, significant challenges have emerged in achieving holistic cloud spend visibility and cost optimization. FinOps practices provide a way for enterprises to achieve these business goals by optimizing cloud costs and bringing accountability to cloud spend. This paper presents ABACUS - Automated Budget Analysis and Cloud Usage Surveillance, a FinOps solution for optimizing cloud costs by setting budgets, enforcing those budgets through blocking new deployments, and alerting appropriate teams if spending breaches a budget threshold. ABACUS also leverages best practices like Infrastructure-as-Code to alert engineering teams of the expected cost of deployment before resources are deployed in the cloud. Finally, future research directions are proposed to advance the state of the art in this important field.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 4 of its 17 references that are in the map. First posted on arXiv 22 Dec 2024.
Builds on
4 of 17 references.
References · 4
- 2022BigBird: Big Data Storage and Analytics at Scale in Hybrid Cloudcited by 3
- 2020An Agent-based Cloud Service Negotiation in Hybrid Cloud Computingcited by 2
- 2022Belief-Desire-Intention (BDI) Multi-agent System for Cloud Marketplace Negotiationcited by 1
- 2023Cloud and AI Infrastructure Cost Optimization: A Comprehensive Review of Strategies and Case Studiescited by 1
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Citing papers per year: 2025: 2; 2026: 2.
4 papers.
- 2025Cost Trade-offs of Reasoning and Non-Reasoning Large Language Models in Text-to-SQLcited by 2
- 2025FinOps Agent -- A Use-Case for IT Infrastructure and Cost Optimizationcited by 1
- 2026MAS-H2: A Hierarchical Multi-Agent System for Holistic Cloud-Native Autoscalingcited by 0
- 2026Who Pays for the KV Cache? Attributing Shared AI Inference Spend Across Kubernetes and LLM Provider Billscited by 0
- 2026Who Pays for the KV Cache? Attributing Shared AI Inference Spend Across Kubernetes and LLM Provider Bills21 Sep 2026
- 2026MAS-H2: A Hierarchical Multi-Agent System for Holistic Cloud-Native Autoscaling8 Mar 2026
- 2025Cost Trade-offs of Reasoning and Non-Reasoning Large Language Models in Text-to-SQL26 Dec 2025
- 2025FinOps Agent -- A Use-Case for IT Infrastructure and Cost Optimization29 Oct 2025