Scheduling algorithms for the dynamic management, placement and scaling of applications embedded in Docker containers and composed as microservices ac

随着每天制造和使用的设备的规模越来越大，随之而来的是对高频敏感的新型应用程序的同步增长。对于这些应用，传统的云模型，即应用程序在空间的某个点与数据中心(S)通信，对于其延迟敏感的要求并不是最优的。雾最初由思科提出，是云和网络边缘之间的中间层，允许应用程序在整个网络的硬件和资源上运行，如路由器和交换机。这允许应用程序通过使用靠近网络边缘的已经配置的网络硬件来满足其延迟敏感性要求。随着雾的兴起，出现了一组新的研究挑战。其中一些问题包括如何为雾进行编程，如何管理和放置整个网络上的硬件资源中的应用程序，以及如何以最佳方式扩展这些应用程序。目前还没有办法让开发人员能够对他们的应用程序进行全栈编程(并充分利用随之而来的优势)。我的解决方案是：让开发人员通过将他们的应用程序组合成一系列微服务来实现这种全栈编程能力，然后将这些微服务嵌入到Docker容器中，然后跨整个栈进行协调。我的博士学位将专注于构建调度算法，负责做出决策，以及如何智能地编排用户的应用程序，以满足其期望的需求。

With the sheer scale of devices that are being built and used day by day, there hascome with it the simultaneous growth of new types of applications that are highlylatency-sensitive. For these applications the traditional cloud model, whereby anapplication communicates with a data centre(s) at some point in space, is notoptimal for its latency sensitive requirements. The fog, initially proposed by Cisco,is a middle layer between the cloud and the edge of the network, allowingapplications to be run on hardware and resources throughout the network, such asrouters and switches. This allows the application to meets its latency sensitiverequirements by using already provisioned network hardware close to the edge ofthe network.With the rise of the fog, a new set of research challenges have emerged. Some ofthese include how to program for the fog, how to manage and place applicationsthroughout the hardware resources on the network, and how to scale thoseapplications in an optimal manner. There is currently no way of allowing developersto be able to program their applications across the "full stack" from the edge to thecloud (and make full use of the advantages that come with them).My solution is this: For a developer to be to achieve this full stack programmingcapability by composing their application as a series of microservices which willthen be embedded inside of Docker containers and subsequently orchestratedacross the full stack of edge, fog, and cloud. My PhD will focus on building thescheduling algorithms that will be responsible for making decisions as tohow to intelligently orchestrate the user's application in order to meet its desiredrequirements.