A Virtual-Service-Domain Based Bidding Algorithm for Resource Discovery in Computational Grid

2005 ◽  
Author(s):  
Hongbo Zou ◽  
Hai Jin ◽  
Zongfen Han ◽  
Jing Tie ◽  
Xuanhua Shi
Keyword(s):  
Computational Grid ◽  
Resource Discovery

Data Resource Discovery in a Computational Grid

2004 ◽  
pp. 303-310 ◽  
Author(s):  
Sajindra Jayasena ◽  
Chin-Peng Yee ◽  
Jie Song ◽  
Abele Stoelwinder ◽  
Chong Wee See ◽  
...  
Keyword(s):  
Computational Grid ◽  
Resource Discovery ◽  
Data Resource

Resource discovery and management in computational GRID environments

2006 ◽  
Vol 19 (6) ◽  
pp. 639-657 ◽  
Author(s):  
Alan Bradley ◽  
Kevin Curran ◽  
Gerard Parr
Keyword(s):  
Computational Grid ◽  
Resource Discovery ◽  
Grid Environments

WAVE CLIMATE OF THE BLACK SEA’S COASTAL WATERS DURING THE LAST THREE DECADES

2017 ◽  
Author(s):  
Fedor Gippius ◽  
Fedor Gippius ◽  
Stanislav Myslenkov ◽  
Stanislav Myslenkov ◽  
Elena Stoliarova ◽  
...  
Keyword(s):  
Wind Speed ◽  
Cell Size ◽  
Coastal Waters ◽  
Wind Wave ◽  
Spatial Scales ◽  
Wave Model ◽  
Wave Climate ◽  
Computational Grid ◽  
Coastal Areas ◽  
Wave Parameters

This study is focused on the alterations and typical features of the wind wave climate of the Black Sea’s coastal waters since 1979 till nowadays. Wind wave parameters were calculated by means of the 3rd-generation numerical spectral wind wave model SWAN, which is widely used on various spatial scales – both coastal waters and open seas. Data on wind speed and direction from the NCEP CFSR reanalysis were used as forcing. The computations were performed on an unstructured computational grid with cell size depending on the distance from the shoreline. Modeling results were applied to evaluate the main characteristics of the wind wave in various coastal areas of the sea.

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