AI workloads are testing traditional centralized systems beyond their limits. Incentivizing distributed energy and data is the answer, says Greg Osuri, CEO of Akash Network.

With an emphasis on fulfilling deadlines, this study presents an efficient method for workload scheduling in edge-cloud collaborative computing settings. It optimizes task distribution taking into ...

Besides the enormous power consumption, carbon emission from data centers is also a concern for cloud service providers (CSPs). Based on cloud computing technology, the spatial-temporal transfer of ...