Efficient, Scalable and Survivable Design for next generation Virtualized Data Center for Cloud Services

面向云服务的下一代虚拟化数据中心的高效、可扩展和可生存的设计

• 批准号: RGPIN-2014-05590
• 负责人: Assi, Chadi
• 金额: $ 3.72万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=637344
• 关键词: Efficient; Scalable; Survivable; Design; next

Cloud Computing is becoming the mainstream paradigm, as organizations, both large and small, begin to harness benefits. Cloud computing gained its success for giving IT exactly what it needed: The ability to grow and shrink computing resources, on the go, in a cost-effective manner, without the anguish of infrastructure design and setup. The ability to adapt computing demands to market fluctuations is just one of the many benefits that cloud computing has to offer, this is why this new paradigm is rising rapidly. According to a Gartner report, cloud services are expected to grow to 131 billion dollars worldwide in 2013. With this massive growth, the performance of the underlying infrastructure is crucial to its success and sustainability. Currently, cloud computing heavily depends on data centers for its daily business needs. In fact, it is through the virtualization of data centers that the concept of “computing as a utility” emerged. However, data center virtualization is still in its infancy. Recently, NSERC has created a Strategic Network for Smart Applications on Virtual Infrastructure (SAVI) whose objective is to address the design of future applications platform built on a flexible and evolvable infrastructure. Among SAVI’s objectives is helping advance Canada's Digital Economy Strategy by strengthening the IT (Information Technology) industrial base through active participation in the research program. This initiative underscores the importance of research on cloud networks and network virtualization and the impacts they will have on Canadian industries. With this initiative, however, a plethora of open research issues and challenges related to data center virtualization can be identified, including but not limited to, optimized topologies and protocols, embedding design methods and online algorithms, resource provisioning and allocation, data center energy efficiency, fault tolerance issues and fault tolerant design for cascaded correlated failures, improving service availability under catastrophic disaster conditions, etc. Therefore, this proposal will attempt to elaborate and address key research challenges and problems related to the design and operation of efficient virtualized data centers and data center infrastructure for cloud services. In particular, I plan to investigate the problem of scalable traffic management and traffic engineering methods in data center networks and present both mathematical formulation for the (offline) problem as well as online methods/algorithms to enable quality of service (QoS) provisioning. I also plan to study the problem of survivable virtual network embedding through novel coordinated design methodologies to achieve higher revenues for network operators while providing guaranteed service continuity for cloud services. Given the complexity of this problem, we plan to use large scale optimization methods for addressing the offline design problem and novel algorithms for obtaining online solutions. Now, one of the major issues for network operators is to maximize their profits; this implies squeezing the most benefits of their network investments and capacity to be able to accommodate more services. Network coding is a framework that allows network operators to maximize the traffic flows in their network without requiring any upgrade to the infrastructure. To get the most benefits, network coding aware embedding solutions must be devised. This is however another challenging problem that has not been addressed in prior work. This proposal plans to investigate this problem through novel embedding solutions as well as offline and online methods to characterize the gains.

随着大小的组织开始利用益处，云计算已成为主流范式。云计算取得了成功的成功：以经济高效的方式，不带基础架构设计和设置的痛苦，可以在旅途中发展和收缩计算资源的能力。将计算需求调整到市场波动的能力只是云计算所提供的许多好处之一，这就是为什么这种新范式迅速上升的原因。根据Gartner的一份报告，云服务预计将在2013年在全球范围内增长到1310亿美元。随着这种大量增长，基础基础设施的绩效对于其成功和可持续性至关重要。当前，云计算在很大程度上取决于数据中心的日常业务需求。实际上，通过数据中心的虚拟化，出现了“计算作为实用程序”的概念。但是，数据中心虚拟化仍处于起步阶段。最近，NSERC创建了一个用于虚拟基础架构（SAVI）的智能应用程序的战略网络，其目标是解决以灵活且可转化的基础架构建立的未来应用程序平台的设计。萨维（Savi）的目标之一是通过积极参与研究计划来加强IT（信息技术）工业基础来帮助加拿大的数字经济战略。该计划强调了研究对云网络和网络虚拟化的重要性以及它们对加拿大行业的影响。但是，通过这一举措，可以识别出许多与数据中心虚拟化相关的开放研究问题和挑战，包括但不限于优化的拓扑和协议，嵌入设计方法和在线算法以及资源提供和分配，数据中心能量效率，可实现的可用性，可用性的实质性疾病，可实现的疾病，改善了疾病的影响。试图详细说明和解决与有效的虚拟数据中心的设计和操作有关的关键研究挑战和问题，以及用于云服务的数据中心基础架构。特别是，我计划研究数据中心网络中可扩展的流量管理和流量工程方法的问题，并介绍（离线）问题的数学公式以及在线方法/算法以实现服务质量（QOS）提供。我还计划通过新颖的协调设计方法来研究可生存的虚拟网络嵌入的问题，以实现更高的揭示网络运营商，同时为云服务提供保证的服务连续性。考虑到这个问题的复杂性，我们计划使用大型优化方法来解决离线设计问题和新的算法以获取在线解决方案。现在，网络运营商的主要问题之一是最大化其利润。这意味着挤压其网络投资的最大好处和能够适应更多服务的能力。网络编码是一个框架，允许网络运营商最大程度地提高网络中的流量流，而无需对基础架构进行任何升级。为了获得最大的好处，必须设计网络编码意识的嵌入解决方案。但是，这是一个尚未在先前的工作中解决的另一个挑战问题。该建议计划通过新颖的嵌入解决方案以及离线和在线方法来调查此问题，以表征收益。