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Software-Defined Networking for Scalable Cloud-based Services to Improve System Performance of Hadoop-based Big Data Applications

机译:用于可扩展的基于云的服务的软件定义网络,以提高基于Hadoop的大数据应用程序的系统性能

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The rapid growth of Cloud Computing has brought with it major new challenges in the automated manageability, dynamic network reconfiguration, provisioning, scalability and flexibility of virtual networks. OpenFlow-enabled Software-Defined Networking (SDN) alleviates these key challenges through the abstraction of lower level functionality that removes the complexities of the underlying hardware by separating the data and control planes. SDN has an efficient, dynamic, automated network management, higher availability and application provisioning through programmable interfaces which are very critical for flexible and scalable cloud-based services. In this study, the author explores broadly useful open technologies and methodologies for applying an OpenFlow-enabled SDN to scalable cloud-based services and a variety of diverse applications. The approach in this paper introduces new research challenges in the design and implementation of advanced techniques for bringing an SDN-enabled components and big data applications into a cloud environment in a dynamic setting. Some of these challenges become pressing concerns to cloud providers when managing virtual networks and data centers, while others complicate the development and deployment of cloud-hosted applications from the perspective of developers and end users. However, the growing demand for manageable, scalable and flexible clouds necessitates that effective solutions to these challenges be found. Hence, through real-world research validation use cases, this paper aims at exploring useful mechanisms for the role and potential of an OpenFlow-enabled SDN and its direct benefit for scalable cloud-based services. Finally, it demonstrates the impact of an OpenFlow-enabled SDN that fully embraces the opportunities and challenges of cloud infrastructures to improve the system performance of Hadoop-based big data applications by utilizing the network control capabilities of an OpenFlow to solve network congestion.
机译:云计算的快速增长给虚拟网络的自动化可管理性,动态网络重新配置,供应,可扩展性和灵活性带来了重大的新挑战。启用了OpenFlow的软件定义网络(SDN)通过抽象化较低级别的功能来缓解这些关键挑战,这些功能通过分离数据和控制平面来消除底层硬件的复杂性。 SDN具有通过可编程接口进行的高效,动态,自动化的网络管理,更高的可用性和应用程序调配,这对于灵活和可扩展的基于云的服务至关重要。在这项研究中,作者探索了广泛有用的开放技术和方法,以将支持OpenFlow的SDN应用于可伸缩的基于云的服务和各种不同的应用程序。本文中的方法在设计和实现高级技术中引入了新的研究挑战,这些高级技术用于将支持SDN的组件和大数据应用程序动态地引入云环境。这些挑战中的一些成为管理虚拟网络和数据中心时云提供商面临的紧迫问题,而其他挑战则从开发人员和最终用户的角度使云托管的应用程序的开发和部署变得复杂。但是,对可管理,可扩展和灵活的云的需求不断增长,因此必须找到有效的解决方案来应对这些挑战。因此,通过现实世界的研究验证用例,本文旨在探讨有用的机制,以了解启用OpenFlow的SDN的角色和潜力以及其对基于可伸缩云服务的直接好处。最后,它演示了启用OpenFlow的SDN的影响,该SDN充分利用云基础架构的机遇和挑战,以利用OpenFlow的网络控制功能来解决网络拥塞,从而改善基于Hadoop的大数据应用程序的系统性能。

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