Cloud Computing is a cutting edge technology for managing and delivering services over the Internet. Map-Reduce is the programming model used in cloud computing for processing large data sets in ...

A cloud computing resource scheduling algorithm based on sampled collaborative knowledge graph network is designed to address the issues of lag in the process of cloud computing resource scheduling, ...

The primary goal of cloud-based OS scheduling is to optimize multiple objectives, such as cost, energy consumption, response time, and resource utilization, while also maximizing quality of ...

It is not known how much energy honeynets consume. Accordingly, there is a problem insofar as there are no generalized green computing algorithms applicable to honeynets (More and Ingle, 2017).

In cloud computing, there are many tasks requires to be executed by the available resources to achieve best performance, minimal total time for completion, shortest response time, utilization of ...

The experimental results showed that the scheduling algorithm based on taboo search performed better than GA, particle swarm optimization algorithm, and simulated annealing algorithms on open-source ...

Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments using A3C learning and Residual Recurrent Neural Networks The ubiquitous adoption of Internet-of-Things (IoT) based applications has ...