scholarly journals Optimizing Long-term IaaS Service Composition

Author(s):  
Sajib Mistry ◽  
Athman Bouguettaya ◽  
Hai Dong ◽  
A. K. Qin
Keyword(s):  
2014 ◽  
Vol 2 (2) ◽  
pp. 20-42
Author(s):  
Sébastien Salva ◽  
Tien-Dung Cao

This paper proposes a conformance testing method combining two well-known testing approaches, runtime verification and passive testing. Runtime verification addresses the monitoring of a system under test to check whether formal properties hold, while passive testing aims at checking the conformance of the system in the long-term. The method, proposed in this paper, checks whether an implementation conforms to its specification with reference to the ioco test relation. While passively checking if ioco holds, it also checks whether the implementation meets safety properties, which informally state that “nothing bad ever happens”. This paper also tackles the trace extraction problem, which is common to both runtime verification and passive testing. The authors define the notion of Proxy-monitors for collecting traces even when the implementation environment access rights are restricted. Then, they apply and specialise this approach on Web service compositions. A Web service composition deployed in different Clouds is experimented to assess the feasibility of the method.


2018 ◽  
Vol 11 (1) ◽  
pp. 131-143 ◽  
Author(s):  
Sajib Mistry ◽  
Athman Bouguettaya ◽  
Hai Dong ◽  
A. K. Qin

2019 ◽  
Vol 42 ◽  
Author(s):  
John P. A. Ioannidis

AbstractNeurobiology-based interventions for mental diseases and searches for useful biomarkers of treatment response have largely failed. Clinical trials should assess interventions related to environmental and social stressors, with long-term follow-up; social rather than biological endpoints; personalized outcomes; and suitable cluster, adaptive, and n-of-1 designs. Labor, education, financial, and other social/political decisions should be evaluated for their impacts on mental disease.


2016 ◽  
Vol 39 ◽  
Author(s):  
Mary C. Potter

AbstractRapid serial visual presentation (RSVP) of words or pictured scenes provides evidence for a large-capacity conceptual short-term memory (CSTM) that momentarily provides rich associated material from long-term memory, permitting rapid chunking (Potter 1993; 2009; 2012). In perception of scenes as well as language comprehension, we make use of knowledge that briefly exceeds the supposed limits of working memory.


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