Direction-aware resource discovery in large-scale distributed computing environments

被引:9
|
作者
Chung, Wu-Chun [1 ]
Hsu, Chin-Jung [1 ]
Lai, Kuan-Chou [2 ]
Li, Kuan-Ching [3 ]
Chung, Yeh-Ching [1 ]
机构
[1] Natl Tsing Hua Univ, Dept Comp Sci, Hsinchu 300, Taiwan
[2] Natl Taichung Univ, Dept Comp Sci, Taichung 403, Taiwan
[3] Providence Univ, Dept Comp Sci & Informat Engn, Taichung 433, Taiwan
来源
JOURNAL OF SUPERCOMPUTING | 2013年 / 66卷 / 01期
关键词
Resource discovery; Grid computing; Cloud computing; Unstructured overlay; PEER-TO-PEER; GRIDS; CONVERGENCE; SEARCH; SYSTEM; P2P;
D O I
10.1007/s11227-013-0899-6
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
As a system scales up, the peer-to-peer (P2P) approach is attractive to distributed computing environments, such as Grids and Clouds, due to the amount of resources increased. The major issue in large-scale distributed systems is to prevent the phenomenon of a communication bottleneck or a single point of failure. Conventional approaches may not be able to apply directly to such environments due to restricted queries and varied resource characteristics. Alternatively, a fully decentralized resource discovery service based on an unstructured overlay, which relies only on the information of resource attributes and characteristics, may be a feasible solution. One major challenge of such service is to locate desired and suitable resources without the global knowledge of distributed sharing resources. As a consequence, the more nodes the resource discovery service involves, the higher the network overhead incurs. In this paper, we proposed a direction-aware strategy which can alleviate the network traffic among unstructured information systems for distributed resource discovery service. Experimental results have demonstrated that the proposed approach achieves higher success rate at low cost and higher scalability.
引用
收藏
页码:229 / 248
页数:20
相关论文
共 50 条
  • [21] Large-Scale Feature Matching with Distributed and Heterogeneous Computing
    Mills, Steven
    Eyers, David
    Leung, Kai-Cheung
    Tang, Xiaoxin
    Huang, Zhiyi
    PROCEEDINGS OF 2013 28TH INTERNATIONAL CONFERENCE ON IMAGE AND VISION COMPUTING NEW ZEALAND (IVCNZ 2013), 2013, : 208 - 213
  • [22] A load balancing strategy for large-scale distributed computing
    Yang, Ji-Xiang
    Tan, Guo-Zhen
    Wang, Fan
    Zhou, Mei-Na
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2012, 40 (11): : 2226 - 2231
  • [23] Configuration monitoring tool for large-scale distributed computing
    Wu, Y
    Graham, G
    Lu, X
    Afaq, A
    Kim, BJ
    Fisk, I
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2004, 534 (1-2): : 66 - 69
  • [24] Energy Efficiency in Large-Scale Distributed Computing Systems
    Trobec, R.
    Depolli, M.
    Skala, K.
    Lipic, T.
    2013 36TH INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), 2013, : 253 - 257
  • [25] Distributed Domain Generation for Large-Scale Scientific Computing
    Ertl, Christoph
    Mundani, Ralf-Peter
    2021 20TH INTERNATIONAL SYMPOSIUM ON PARALLEL AND DISTRIBUTED COMPUTING (ISPDC), 2021, : 105 - 113
  • [26] Large-scale distributed computing for accelerated structure solution
    Shankland, K.
    Griffin, T. A. N.
    van de Streek, J.
    Cole, J. C.
    Shankland, N.
    Florence, A. J.
    David, W. I. F.
    ZEITSCHRIFT FUR KRISTALLOGRAPHIE, 2009, : 227 - 232
  • [27] MODELS FOR CONFIGURING LARGE-SCALE DISTRIBUTED COMPUTING SYSTEMS
    GAVISH, B
    AT&T TECHNICAL JOURNAL, 1985, 64 (02): : 491 - 532
  • [28] Multiserver support for large-scale distributed virtual environments
    Ng, B
    Lau, RWH
    Si, A
    Li, FWB
    IEEE TRANSACTIONS ON MULTIMEDIA, 2005, 7 (06) : 1054 - 1065
  • [29] Distributed workflow management for large-scale grid environments
    Schneider, J
    Linnert, B
    Burchard, LO
    INTERNATIONAL SYMPOSIUM ON APPLICATIONS AND THE INTERNET , PROCEEDINGS, 2006, : 229 - +
  • [30] A Distributed Market Framework for Large-Scale Resource Sharing
    Mihailescu, Marian
    Teo, Yong Meng
    EURO-PAR 2010 PARALLEL PROCESSING, PT I, 2010, 6271 : 418 - 430