PHIL AI Introduces Distributed Edge Compute Architecture to Expand Global AI Infrastructure Access

PHIL AI is pursuing an open ecosystem strategy by collaborating with infrastructure and application partners to support end-to-end AI workflows. Through integrations with decentralized compute ...
IEEE

A Distributed Edge Computing Prototype Using Raspberry PIs

Abstract: Edge computing has recently become a widely used computing model. In edge computing, people deploy edge servers at locations closer to devices, which generate large amounts of data. Hence, ...
IEEE

Electricity Cost Minimization for Multi-Workflow Allocation in Geo-Distributed Data Centers

Abstract: Worldwide, Geo-distributed Data Centers (GDCs) provide computing and storage services for massive workflow applications, resulting in high electricity costs that vary depending on ...