论文标题
监视和主动管理Pervasive应用程序中的QoS级别
Monitoring and Proactive Management of QoS Levels in Pervasive Applications
论文作者
论文摘要
边缘计算（EC）的出现是一种有希望的范式，它提供了靠近数据源的多种计算和分析功能，为新型应用程序打开了新的途径。但是，EC节点的计算能力有限，以及在执行任务期间确保高水平QoS的期望对创新管理方法施加了严格的要求。由于需要在EC节点运行期间保持最低QoS水平的动机，我们阐述了针对任务调度的分布式且聪明的决策方法。我们的目的是增强EC节点的行为，使其能够确保高QoS水平。我们建议节点不断监视QoS级别，并系统地评估违反它们以主动决定某些任务以将其卸载到同行节点或云的概率。我们通过多种实验场景介绍，描述和评估所提出的方案，以揭示其性能以及在像EC这样的非常动态的环境中服务处理请求时所设想的监视机制的好处。
The advent of Edge Computing (EC) as a promising paradigm that provides multiple computation and analytics capabilities close to data sources opens new pathways for novel applications. Nonetheless, the limited computational capabilities of EC nodes and the expectation of ensuring high levels of QoS during tasks execution impose strict requirements for innovative management approaches. Motivated by the need of maintaining a minimum level of QoS during EC nodes functioning, we elaborate a distributed and intelligent decision-making approach for tasks scheduling. Our aim is to enhance the behavior of EC nodes making them capable of securing high QoS levels. We propose that nodes continuously monitor QoS levels and systematically evaluate the probability of violating them to proactively decide some tasks to be offloaded to peer nodes or Cloud. We present, describe and evaluate the proposed scheme through multiple experimental scenarios revealing its performance and the benefits of the envisioned monitoring mechanism when serving processing requests in very dynamic environments like the EC.
