scholarly journals RRS: Replica Registration Service for Data Grids

Author(s):  
Arie Shoshani ◽  
Alex Sim ◽  
Kurt Stockinger
2010 ◽  
Vol 26 (1) ◽  
pp. 63-71 ◽  
Author(s):  
Ruay-Shiung Chang ◽  
Chun-Fu Lin ◽  
Shih-Chun Hsi
Keyword(s):  

Author(s):  
Huy Le ◽  
Paul Coddington ◽  
Andrew L. Wendelborn
Keyword(s):  

2012 ◽  
Vol 522 ◽  
pp. 770-775
Author(s):  
Yu Zheng ◽  
Yan Rong Ni ◽  
Deng Zhe Ma

In order to satisfy the needs of fast and convenient customization of manufacturing scientific data sharing service, the data service customization process and its key technologies were studied. First the data resource model and the customization oriented professional data service model were studied. Then the processes of service customization, from resource registration, service definition, service parsing, to service generating, were analyzed. The parsing engine based on service parsing technology and incubator based on service generating technology was emphasized. Finally the prototype system was developed and validated by an example.


2017 ◽  
pp. 61-80
Author(s):  
Junwhan Kim ◽  
Roberto Palmieri ◽  
Binoy Ravindran

2021 ◽  
Vol 21 (1) ◽  
pp. 34-47
Author(s):  
Ali Akbar ◽  
Sundoyo Sundoyo

Abstract:   This study aims to determine the level of performance and level of satisfaction of Neighbourhood (RT) services in Kutai Kartanegara Regency. Respondents in this research are the people or residents who have done management or who have received public services to the Head of the RT in the Tenggarong sub-district, as many as 207 respondents. The analytical method used is descriptive analysis. The results showed that the cumulative achievement of the IKM measurement results was 74.99. This means that in general the implementation of the program of providing 1 (one) Laptop 1 (one) Neighbourhood (RT) in Tenggarong District by the Population and Civil Registration Service of Kutai Kartanegara Regency according to Permen PAN RB No. 14 of 2017 is classified as unfavorable. Of all the elements and service areas according to Permen PAN RB No. 14 of 2017 in the unfavorable category has a range of values (65.00 - 76.60), which can be described as follows: Service Procedure (76.33), Service Time (72.28), Product service specifications (74.28), Executive Competence (73,31), Complaint Handling Services (73,13), Infrastructure (74.11).   Keywords: Service Quality, Community Satisfaction


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