A novel time computation model based on algorithm complexity for data intensive scientific workflow design and scheduling

2009 ◽  
Vol 21 (16) ◽  
pp. 2070-2083 ◽  
Author(s):  
Jing He ◽  
Yanchun Zhang ◽  
Guangyan Huang ◽  
Chaoyi Pang
2015 ◽  
Vol 27 (18) ◽  
pp. 5606-5622 ◽  
Author(s):  
Jinghui Zhang ◽  
Mingjun Wang ◽  
Junzhou Luo ◽  
Fang Dong ◽  
Junxue Zhang

2015 ◽  
Vol 13 (4) ◽  
pp. 457-493 ◽  
Author(s):  
Ji Liu ◽  
Esther Pacitti ◽  
Patrick Valduriez ◽  
Marta Mattoso

2013 ◽  
Vol 427-429 ◽  
pp. 2687-2690
Author(s):  
Yu Ting Zhang ◽  
Gui Fa Teng

Social networks provide customs with a platform for interaction and information sharing. In real social activities, whether individuals or businesses, have to rely on some relations to live, work or engage in commercial activities. The formation of relationship between different actor clusters based on the same actor in real social networks is described in the paper. The relationships and their types as well as relationship attributes in real complex social networks are analyzed in details. An index calledQinshuduto represent the degree of closeness between two actors in real complex social networks is proposed and its computation model based on relationship types and attributes etc. are given. Case study shows thatQinshuduis a very reasonable and effective way for the use of complex social networks.


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