Enabling Large-Scale Biomedical Analysis in the Cloud

被引:6
|
作者
Lin, Ying-Chih [1 ,2 ]
Yu, Chin-Sheng [1 ,3 ]
Lin, Yen-Jen [4 ]
机构
[1] Feng Chia Univ, Masters Program Biomed Informat & Biomed Engn, Taichung 40724, Taiwan
[2] Feng Chia Univ, Dept Appl Math, Taichung 40724, Taiwan
[3] Feng Chia Univ, Dept Informat Engn & Comp Sci, Taichung 40724, Taiwan
[4] Natl Tsing Hua Univ, Dept Comp Sci, Hsinchu 30013, Taiwan
关键词
MAPREDUCE; FRAMEWORK;
D O I
10.1155/2013/185679
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Recent progress in high-throughput instrumentations has led to an astonishing growth in both volume and complexity of biomedical data collected from various sources. The planet-size data brings serious challenges to the storage and computing technologies. Cloud computing is an alternative to crack the nut because it gives concurrent consideration to enable storage and high-performance computing on large-scale data. This work briefly introduces the data intensive computing system and summarizes existing cloud-based resources in bioinformatics. These developments and applications would facilitate biomedical research to make the vast amount of diversification data meaningful and usable.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] Performance Analysis of Large-scale Distributed Stream Processing Systems on the Cloud
    Tri Minh Truong
    Harwood, Aaron
    Sinnott, Richard O.
    Chen, Shiping
    PROCEEDINGS 2018 IEEE 11TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD), 2018, : 754 - 761
  • [32] Enabling large-scale wireless broadband: The case for TAPs
    Karrer, R
    Sabharwal, A
    Knightly, E
    ACM SIGCOMM COMPUTER COMMUNICATION REVIEW, 2004, 34 (01) : 27 - 32
  • [33] Enabling Large-Scale Simulations With the GENESIS Neuronal Simulator
    Crone, Joshua C.
    Vindiola, Manuel M.
    Yu, Alfred B.
    Boothe, David L.
    Beeman, David
    Oie, Kelvin S.
    Franaszczuk, Piotr J.
    FRONTIERS IN NEUROINFORMATICS, 2019, 13
  • [34] Hermes: Enabling efficient large-scale simulation in MATSim
    Graur, Dan
    Bruno, Rodrigo
    Bischoff, Joschka
    Rieser, Marcel
    Scherr, Wolfgang
    Hoefler, Torsten
    Alonso, Gustavo
    12TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT) / THE 4TH INTERNATIONAL CONFERENCE ON EMERGING DATA AND INDUSTRY 4.0 (EDI40) / AFFILIATED WORKSHOPS, 2021, 184 : 635 - 641
  • [35] Enabling Large-scale Heterogeneous Collaboration with Opportunistic Communications
    Cladera, Fernando
    Ravichandran, Zachary
    Miller, Ian D.
    Hsieh, M. An
    Taylor, C. J.
    Kumar, Vijay
    2024 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, ICRA 2024, 2024, : 2610 - 2616
  • [36] APPLICATIONS ENABLING THE LARGE-SCALE DEPLOYMENT OF GIGABIT NETWORKS
    LYLES, JB
    RICHER, I
    STERBENZ, JPG
    CHEUNG, NK
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 1995, 13 (05) : 765 - 767
  • [38] Anomaly Detection in a Large-scale Cloud Platform
    Islam, Mohammad S.
    Pourmajidi, William
    Zhang, Lei
    Steinbacher, John
    Erwin, Tony
    Miranskyy, Andriy
    2021 IEEE/ACM 43RD INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: SOFTWARE ENGINEERING IN PRACTICE (ICSE-SEIP 2021), 2021, : 150 - 159
  • [39] The Application of Cloud Computing in Large-Scale Statistic
    Sun Xiuli
    Li Ying
    Hu Baofang
    Sun Hongfeng
    PROCEEDINGS OF THE 1ST INTERNATIONAL WORKSHOP ON CLOUD COMPUTING AND INFORMATION SECURITY (CCIS 2013), 2013, 52 : 308 - 311
  • [40] LARGE-SCALE CONVERGENCE IN A NUMERICAL CLOUD MODEL
    CHANG, SW
    ORVILLE, HD
    JOURNAL OF THE ATMOSPHERIC SCIENCES, 1973, 30 (05) : 947 - 950