
TIMBER is a framework that uses a neural network prediction model and graph similarity analysis to efficiently allocate resources for mobile data processing pipelines in mobile cloud environments, ensuring timely responses while minimizing operating costs.


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timber-a-framework-for-efficiently-scheduling-mobile-data-processing-pipelines-in-mobile-cloud-environments-to-meet-real-time-deadlines-and-minimize-costs


TIMBER: A Framework for Efficiently Scheduling Mobile Data Processing Pipelines in Mobile Cloud Environments to Meet Real-Time Deadlines and Minimize Costs


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Jiagu introduces novel techniques to harmonize efficiency with practicability in serverless computing, improving resource utilization.


jiagu-optimizing-serverless-computing-resource-utilization-with-harmonized-efficiency-and-practicability


Jiagu: Optimizing Serverless Computing Resource Utilization with Harmonized Efficiency and Practicability



Jiagu introduces innovative techniques to harmonize efficiency and practicability in serverless computing, improving resource utilization while maintaining QoS.


Optimizing-Serverless-Computing-Resource-Utilization-with-Jiagu


Optimizing Serverless Computing Resource Utilization with Jiagu
