TensorFlow-Based Semantic Techniques for Multi-cloud Application Portability and Interoperability

Author(s):  
Tanveer Kaur ◽  
Kiranbir Kaur
Author(s):  
Erkuden Rios ◽  
Wissam Mallouli ◽  
Massimiliano Rak ◽  
Valentina Casola ◽  
Antonio M. Ortiz

Author(s):  
Mathias Slawik ◽  
Begüm Ilke Zilci ◽  
Axel Küpper ◽  
Yuri Demchenko ◽  
Fatih Turkmen ◽  
...  

Author(s):  
Giuseppe Tricomi ◽  
Alfonso Panarello ◽  
Giovanni Merlino ◽  
Francesco Longo ◽  
Dario Bruneo ◽  
...  

2016 ◽  
Vol 97 ◽  
pp. 104-113 ◽  
Author(s):  
Beniamino Di Martino ◽  
Antonio Esposito

Author(s):  
Huynh Hoang Long

Multi-cloud Marketplace facilitates to create adiverse ecosystem for cloud software and cloud resourceservices provided by many stakeholders. To leverage theadvantage of multi-cloud environment, cloud application couldbe a composition of software components which are able tobe distributed across various cloud providers. So the cloudapplication is therefore a complex system. Consequently, animportant key problem remained in research is to definemulti-cloud application in a particular form and to constructhis description. In this paper, we particularly focus ondeveloping a description method that can be taken to tacklethe lack of description for multi-cloud application by designingdescription templates for CAM which was developed in[1][2][3], called CAM-D. A completed application descriptioncan be synthesized from individual component descriptions.Our experimentation is expressed through the transformationof CAM-D template to TOSCA specification illustrated by casestudy. In addition, we also develop an flattening algorithm toassist in mapping to TOSCA.


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