Our aim is to reduce overall turnaround time for the complete end-to-end service in service function chains and reduce the total traffic generated. In this work ...

Our aim is to reduce overall turnaround time for the complete end-to-end service in service function chains and reduce the total traffic generated. In this work.

Aug 25, 2017 · PDF | On May 1, 2017, Deval Bhamare and others published Multi-objective scheduling of micro-services for optimal service function chains ...

Multi-objective scheduling of micro-services for optimal service function chains. Conference Paper. Full-text available. May 2017. Deval Bh · Mohammed ...

This work model the scheduling problem as a complex variant of the knapsack problem and solve it using a multi-objective optimization approach and shows ...

Nov 28, 2019 · Multi-Objective Scheduling of Micro-Services for Optimal Service Function Chains. Overview of attention for article published in this source ...

In this paper, using memory and CPU requests specified for service deployment, we propose a novel scheduling mechanism that balances memory and CPU utilization ...

Aug 30, 2020 · In this study, a knowledge-driven evolutionary algorithm (named MGR-NSGA-III) is proposed to solve the problem model and seek the optimal deployment and ...

May 10, 2023 · In MEC environments, a software application typically consists of multiple micro-services, which can be composed together in a flexible manner ...

A multi-objective optimization scheduling model for microgrids in grid-connected mode is proposed, which comprehensively considers the operational costs and ...