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

被引:4
|
作者
Hagos, Desta Haileselassie [1 ]
机构
[1] Univ Oslo UiO, Fac Math & Nat Sci, Dept Informat, Oslo, Norway
关键词
Apache Hadoop; Big Data; Cloud Computing; Control & Data Planes; MapReduce; OpenFlow; SDN; Virtualization;
D O I
10.4018/IJGHPC.2016040101
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
引用
收藏
页码:1 / 22
页数:22
相关论文
共 50 条
  • [21] Cloud-based Big Data Mining & Analyzing Services Platform integrating R
    Ye, Feng
    Wang, Zhijian
    Ye, Feng
    Wang, Zhijian
    Zhou, Fachao
    Wang, Yapu
    Zhou, Yuanchao
    2013 INTERNATIONAL CONFERENCE ON ADVANCED CLOUD AND BIG DATA (CBD), 2013, : 147 - 151
  • [22] A Tensor-Based Framework for Software-Defined Cloud Data Center
    Kuang, Liwei
    Yang, Laurence T.
    Rho, Seungmin
    Yan, Zheng
    Qiu, Kai
    ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2016, 12 (05)
  • [23] Circuit-based logical layer 2 bridging in software-defined data center networking
    Wang, Yao-Chun
    Lin, Ying-Dar
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2019, 32 (16)
  • [24] A High Performance Media Server and QoS Routing for SVC Streaming based on Software-Defined Networking
    Liang, Wei-En
    Shen, Chung-An
    2017 INTERNATIONAL CONFERENCE ON COMPUTING, NETWORKING AND COMMUNICATIONS (ICNC), 2016, : 556 - 560
  • [25] Cloud-Based Software Platform for Big Data Analytics in Smart Grids
    Simmhan, Yogesh
    Aman, Saima
    Kumbhare, Aloe
    Liu, Rongyang
    Stevens, Sam
    Zhou, Qunzhi
    Prasanna, Viktor
    COMPUTING IN SCIENCE & ENGINEERING, 2013, 15 (04) : 38 - 47
  • [26] Enhancing Performance of Cloud-based Software Applications with GraalVM and Quarkus
    Sipek, M.
    Muharemagic, D.
    Mihaljevic, B.
    Radovan, A.
    2020 43RD INTERNATIONAL CONVENTION ON INFORMATION, COMMUNICATION AND ELECTRONIC TECHNOLOGY (MIPRO 2020), 2020, : 1746 - 1751
  • [27] A Virtual Network Performance Optimization Strategy for Cloud-based Big Data Processing
    Pan Lulu
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL ENGINEERING AND INDUSTRIAL INFORMATICS, 2015, 15 : 1538 - 1541
  • [28] Design of underwater acoustic sensor communication systems based on software-defined networks in big data
    Wang, Jianping
    Ma, Lijuan
    Chen, Wei
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2017, 13 (07):
  • [29] An Efficient Mice Flow Routing Algorithm for Data Centers based on Software-Defined Networking
    Amezquita-Suarez, Felipe
    Estrada-Solano, Felipe
    da Fonseca, Nelson L. S.
    Caicedo Rendon, Oscar Mauricio
    ICC 2019 - 2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2019,
  • [30] Design of big data processing system architecture based on Hadoop Under the cloud computing
    Duan, Chunmei
    MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY, 2014, 556-562 : 6302 - 6306