BlueStar: A federation-based approach to building Internet-scale data centers

被引:0
|
作者
Neogi, A. [1 ]
Mohindra, A. [2 ]
Viswanathan, B. [3 ]
Kushida, T. [4 ]
Horii, H. [4 ]
机构
[1] IBM India Pvt Ltd, IBM Software Grp, Pune 411057, Maharashtra, India
[2] IBM Corp, Thomas J Watson Res Ctr, IBM Res Div, Yorktown Hts, NY 10598 USA
[3] IBM India Pvt Ltd, IBM Res Div, India Res Labs, Bangalore 560045, Karnataka, India
[4] IBM Res Div, Tokyo Res Lab, Yamato, Kanagawa 2428502, Japan
关键词
Geographical distribution;
D O I
10.1147/JRD.2009.5429059
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This paper describes the architecture and the implementation of BlueStar, which uses a federation-based approach to design and build Internet-scale data centers. Instead of aggregating all of the compute, storage, and network resources in a single data center, our approach uses the concept of a federation in which different-size data centers participate to provide the capacity needed to support Internet-scale applications. The main advantage of our approach is that due to the inherent geographic distribution of the data centers, applications can be easily provided with support for high availability, disaster recovery, and localized access (reduced latency). The approach also enables the service providers to realize benefits by deciding to locate the hosting of applications to take advantage of savings due to cost differentials between peak and off-peak hours, power rates, and cooling costs across data centers. Further, the approach enables individual data centers to maintain independence and operational control over their resources. We discuss the implementation of BlueStar using two sample composite applications: BlueMaps, a server-side mashup application (i.e., an application that provides data or functionality from more than one location), and Lotus (R) Connections, a collaboration application.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] The Impact of Mega-Scale Data Centers on Internet Architecture
    Vahdat, Amin
    [J]. 2009 DIGEST OF THE LEOS SUMMER TOPICAL MEETINGS, 2009, : 131 - 132
  • [32] Beyond Edge Caching: Freshness and Popularity Aware IoT Data Caching via NDN at Internet-Scale
    Amadeo, Marica
    Campolo, Claudia
    Ruggeri, Giuseppe
    Molinaro, Antonella
    [J]. IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING, 2022, 6 (01): : 352 - 364
  • [33] Feverfew: a scalable coverage-based hybrid overlay for Internet-scale pub/sub networks
    Ma XingKong
    Wang YiJie
    Sun WeiDong
    [J]. SCIENCE CHINA-INFORMATION SCIENCES, 2014, 57 (05) : 1 - 14
  • [34] Feverfew: a scalable coverage-based hybrid overlay for Internet-scale pub/sub networks
    MA XingKong
    WANG YiJie
    SUN WeiDong
    [J]. Science China(Information Sciences), 2014, 57 (05) : 51 - 64
  • [35] An efficient, low-cost inconsistency detection framework for data and service sharing in an Internet-scale system
    Lu, YJ
    Jiang, H
    Feng, D
    [J]. ICEBE 2005: IEEE INTERNATIONAL CONFERENCE ON E-BUSINESS ENGINEERING, PROCEEDINGS, 2005, : 373 - 380
  • [36] Feverfew: a scalable coverage-based hybrid overlay for Internet-scale pub/sub networks
    XingKong Ma
    YiJie Wang
    WeiDong Sun
    [J]. Science China Information Sciences, 2014, 57 : 1 - 14
  • [37] A novel cost-aware algorithm for dynamic task placement problem in a heterogeneous Internet-scale data center
    Zhang, Shuo
    Liu, Yaping
    Hu, Ning
    Zhou, Ning
    [J]. JOURNAL OF SUPERCOMPUTING, 2020, 76 (09): : 6579 - 6598
  • [38] A schema-based approach to building a bioinformatics database federation
    Kemp, GJL
    Angelopoulos, N
    Gray, PMD
    [J]. IEEE INTERNATIONAL SYMPOSIUM ON BIO-INFORMATICS AND BIOMEDICAL ENGINEERING, PROCEEDINGS, 2000, : 13 - 20
  • [39] An Attentive Interpretable Approach for Identifying and Quantifying Malware-Infected Internet-Scale IoT Bots Behind a NAT
    Nader, Christelle
    Bou-Harb, Elias
    [J]. PROCEEDINGS OF THE 19TH ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS 2022 (CF 2022), 2022, : 279 - 286
  • [40] A novel cost-aware algorithm for dynamic task placement problem in a heterogeneous Internet-scale data center
    Shuo Zhang
    Yaping Liu
    Ning Hu
    Ning Zhou
    [J]. The Journal of Supercomputing, 2020, 76 : 6579 - 6598