Resource allocation and QoS control in evolving cloud computing systems

云计算促进了作为服务的按需和可扩展的资源配置。这是以“现收现付”的方式实现的，从而使资源能够以负担得起的成本随时随地使用。这种网络/服务模式最近获得了相当大的增长，预计将在未来占据主导地位。因此，它不仅是一个丰富的学术研究领域，而且对于互联网服务/电信提供商的产品/服务开发也是一个至关重要的领域。 云提供商必须提供可扩展性以及可靠的资源和服务。为此，服务级别协议(SLA)规定了性能违规情况下的使用条款和处罚。在计算以及路由和服务请求调度级别的资源供应都应该以“弹性”和可伸缩的方式执行。持续监控SLA的目标是最大限度地减少性能违规，同时最大限度地提高用户满意度和云提供商收入。 在传统的数据网络中，资源分配和服务质量控制和监测一直是一个活跃的研究领域。然而，“云”(在地理上)的分布性和多样性(就所提供的服务而言)可能很难使用传统的网络范例来实施。软件定义网络(SDN)有助于实现高效、健壮且易于重新配置的云数据中心。该提案的目标是调查目前和不断发展的网络实践及其应用，以促进下一代云计算系统和服务的发展。

Cloud computing facilitates on-demand and scalable resource provisioning as services. This is implemented in a "pay-as-you go" manner, thus making resources available at all times from anywhere at affordable cost. This networking/service paradigm has gained considerable growth lately and is expected to be dominant in the future. Therefore, it is a rich area not only for academic research, but also an area of crucial importance for product/service development by Internet service/telecom providers. Cloud providers have to offer scalability along with reliable resources and services. To that end, Service Level Agreements (SLAs) state usage terms and penalties in case of performance violations. Provisioning of resources both at the computing as well as routing and service request scheduling levels should be performed in an "elastic" and scalable fashion. SLAs are constantly monitored with a goal to minimize performance violations while at the same time maximize user satisfaction and cloud provider revenue. Resource allocation and quality of service control and monitoring has been an active area of research in traditional data networks. However, the (geographically) distributed and diverse (in terms of service offered) nature of the "cloud" may be challenging to implement using traditional networking paradigms. Software Defined Networking (SDN) can contribute towards efficient, robust and readily reconfigurable cloud data centres. The goal of the proposal is to investigate present and evolving networking practices and their application for the advancement of next generation cloud computing systems and services.