Cover Image

ABACUS: A FinOps Service for Cloud Cost Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Deochake, Saurabh
Format:	Preprint
Published:	2024
Subjects:	Distributed, Parallel, and Cluster Computing Artificial Intelligence Networking and Internet Architecture Software Engineering K.6; C.2.4; D.2.9; D.2.11; I.2.11
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CodeCRDT: Observation-Driven Coordination for Multi-Agent LLM Code Generation
by: Pugachev, Sergey
Published: (2025)

Separating Intelligence from Execution: A Workflow Engine for the Model Context Protocol
by: Parmar, Abhinav Singh
Published: (2026)

Complex Event Processing in the Edge: A Combined Optimization Approach for Data and Code Placement
by: Uyanık, Halit, et al.
Published: (2026)

Aethon: A Reference-Based Replication Primitive for Constant-Time Instantiation of Stateful AI Agents
by: Rao, Swanand, et al.
Published: (2026)

Decision Evidence Maturity Model for Agentic AI: A Property-Level Method Specification
by: Solozobov, Oleg
Published: (2026)

BitSov: A Composable Bitcoin-Native Architecture for Sovereign Internet Infrastructure
by: Larsen, Oliver Aleksander, et al.
Published: (2026)

A Domain-Driven Design Simulator for Business Logic-Rich Microservice Systems
by: Pereira, Daniel da Palma, et al.
Published: (2026)

Streaming REST APIs for Large Financial Transaction Exports from Relational Databases
by: Kandiraju, Abhiram
Published: (2026)

How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study
by: Erben, Alexander, et al.
Published: (2023)

Iterative Audit Convergence in LLM-Managed Multi-Agent Systems: A Case Study in Prompt Engineering Quality Assurance
by: Calboreanu, Elias
Published: (2026)

How Machine Learning-Data Driven Replication Strategies Enhance Fault Tolerance in Large-Scale Distributed Systems
by: Murimi, Almond Kiruthu
Published: (2025)

Agentic Business Process Management: Practitioner Perspectives on Agent Governance in Business Processes
by: Vu, Hoang, et al.
Published: (2025)

From Assistance to Agency: Rethinking Autonomy and Control in CI/CD Pipelines
by: Barnes, Marcus Emmanuel, et al.
Published: (2026)

From Everything-is-a-File to Files-Are-All-You-Need: How Unix Philosophy Informs the Design of Agentic AI Systems
by: Piskala, Deepak Babu
Published: (2026)

AgentOps: Enabling Observability of LLM Agents
by: Dong, Liming, et al.
Published: (2024)

Combinatorial Client-Master Multiagent Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing
by: Gebrekidan, Tesfay Zemuy, et al.
Published: (2024)

Ontology-Constrained Neural Reasoning in Enterprise Agentic Systems: A Neurosymbolic Architecture for Domain-Grounded AI Agents
by: Tuan, Thanh Luong, et al.
Published: (2026)

Designing Scalable Rate Limiting Systems: Algorithms, Architecture, and Distributed Solutions
by: Guan, Bo
Published: (2026)

Exploring Micro Frontends: A Case Study Application in E-Commerce
by: Kojo, Ricardo Hideki Hangai, et al.
Published: (2025)

ECM Contracts: Contract-Aware, Versioned, and Governable Capability Interfaces for Embodied Agents
by: Qin, Xue, et al.
Published: (2026)

Variability Modeling of Products, Processes, and Resources in Cyber-Physical Production Systems Engineering
by: Meixner, Kristof, et al.
Published: (2024)

A Framework for testing Federated Learning algorithms using an edge-like environment
by: Schwanck, Felipe Machado, et al.
Published: (2024)

TokenCake: A KV-Cache-centric Serving Framework for LLM-based Multi-Agent Applications
by: Bian, Zhuohang, et al.
Published: (2025)

Naeural AI OS -- Decentralized ubiquitous computing MLOps execution engine
by: Bleotiu, Cristian, et al.
Published: (2023)

Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis
by: Lan, Guangchen, et al.
Published: (2024)

A Framework for the Interoperability of Cloud Platforms: Towards FAIR Data in SAFE Environments
by: Grossman, Robert L., et al.
Published: (2022)

AMP4EC: Adaptive Model Partitioning Framework for Efficient Deep Learning Inference in Edge Computing Environments
by: Zhang, Guilin, et al.
Published: (2025)

EPARA: Parallelizing Categorized AI Inference in Edge Clouds
by: Wang, Yubo, et al.
Published: (2025)

AgentSpawn: Adaptive Multi-Agent Collaboration Through Dynamic Spawning for Long-Horizon Code Generation
by: Costa, Igor
Published: (2026)

Towards Message Brokers for Generative AI: Survey, Challenges, and Opportunities
by: Saleh, Alaa, et al.
Published: (2023)

nvidia-pcm: A D-Bus-Driven Platform Configuration Manager for OpenBMC Environments
by: Singh, Harinder
Published: (2026)

Bounded Autonomy for Enterprise AI: Typed Action Contracts and Consumer-Side Execution
by: Sohail, Sarmad, et al.
Published: (2026)

Deterministic and Reliable Software-Defined Vehicles: key building blocks, challenges, and vision
by: Teixeira, Pedro Veloso, et al.
Published: (2024)

Scheduling the Unschedulable: Taming Black-Box LLM Inference at Scale
by: Yuan, Renzhong, et al.
Published: (2026)

AI Agentic workflows and Enterprise APIs: Adapting API architectures for the age of AI agents
by: Tupe, Vaibhav, et al.
Published: (2025)

FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems
by: Woisetschläger, Herbert, et al.
Published: (2023)

Accelerating Geo-distributed Machine Learning with Network-Aware Adaptive Tree and Auxiliary Route
by: Li, Zonghang, et al.
Published: (2024)

HFedATM: Hierarchical Federated Domain Generalization via Optimal Transport and Regularized Mean Aggregation
by: Nguyen, Thinh, et al.
Published: (2025)

PARNESS: A Paper Harness for End-to-End Automated Scientific Research with Dynamic Workflows, Full-Text Indexing, and Cross-Run Knowledge Accumulation
by: Wang, Yuchen, et al.
Published: (2026)

AI-Assisted Engineering Should Track the Epistemic Status and Temporal Validity of Architectural Decisions
by: Gilda, Sankalp, et al.
Published: (2026)