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

用于动态管理、放置和扩展嵌入在 Docker 容器中并组成微服务 ac 的应用程序的调度算法

• 批准号: 1950772
• 金额: --
• 依托单位: University of St Andrews
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1950772
• 关键词: Scheduling; algorithms; dynamic; management; placement

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.

随着每天都在建造和使用的设备的庞大规模，对延迟高度敏感的新型应用程序也随之增长。对于这些应用程序，应用程序在空间中的某个点与数据中心通信的传统云模型并不是其延迟敏感需求的最佳选择。雾层最初是由思科提出的，它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，比如路由器和交换机。这允许应用程序通过使用靠近网络边缘的已配置的网络硬件来满足其延迟敏感需求。随着雾的兴起，一系列新的研究挑战出现了。其中包括如何为雾编程，如何管理和放置整个网络硬件资源上的应用程序，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跨“全栈”从边缘到云编程他们的应用程序（并充分利用它们带来的优势）。我的解决方案是这样的：对于开发人员来说，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，这些微服务将被嵌入到Docker容器中，然后在边缘、雾和云的全栈上进行编排。我的博士学位将专注于构建调度算法，该算法将负责决策如何智能地编排用户的应用程序，以满足其期望的需求。