Federated Datacenter Capacity Marketplace: Credit-Based Resource Sharing for Enterprise Infrastructure

Abstract

The exponential growth of artificial intelligence workloads and cloud services has created unprecedented demand for datacenter capacity, yet traditional provisioning models require organizations to maintain infrastructure for peak usage, resulting in massive underutilization during non-peak periods. This article presents a novel distributed marketplace architecture that enables enterprises to monetize excess datacenter capacity through standardized resource sharing protocols and credit-based incentive systems. The proposed platform addresses the fundamental inefficiency of isolated datacenter provisioning by creating a federated network where organizations dynamically share compute, storage, and networking resources based on real-time demand patterns. Key innovations include distributed consensus mechanisms for capacity allocation, standardized protocols for secure workload migration across heterogeneous infrastructure, and dynamic pricing algorithms that optimize resource utilization while maintaining quality-of-service guarantees. The system implements containerized workload portability, enabling seamless migration of applications and data between participating datacenters through automated orchestration pipelines. The marketplace architecture incorporates advanced security mechanisms, including zero-trust networking, encrypted data migration, and isolated compute environments, to address multi-tenancy concerns. Credit-based incentive systems enable fair resource allocation and compensation, creating sustainable economic models for capacity sharing. This strategy represents a paradigm shift from proprietary, isolated datacenter operations toward collaborative, distributed infrastructure optimization that leverages proven distributed systems patterns to address growing capacity challenges in enterprise computing environments.