Resource Allocations for Humanitarian Response

Author(s):  
Radmila Juric ◽  
Aladdin Shamoug

Resource allocation is one of the most important tasks in organizing humanitarian response to humanitarian crises. It is not only that adequate and efficient resource allocation save lives and reduce damages caused by humanitarian crises, but resource allocation must be fast and efficient to save time and resources. Given that resource allocation is a type of a decision-making process, it is expected that decision on resource allocation are based on accurate and relevant information generated at various stages of humanitarian response. In this article, the authors promote Semantic Resource Allocation tools which a) collects and interprets the semantics of an environment where resource allocation is required and b) the reasons upon the semantics of that environment in order to make appropriate resource allocation. The tool is built with computations based on SWRL enabled OWL ontologies. The prototype has been implemented as a desktop application which can also run in mobile/wireless environments, including Android smart phones.

2009 ◽  
Vol E92-B (2) ◽  
pp. 533-543 ◽  
Author(s):  
Jae Soong LEE ◽  
Jae Young LEE ◽  
Soobin LEE ◽  
Hwang Soo LEE

2020 ◽  
Vol 13 (5) ◽  
pp. 1008-1019
Author(s):  
N. Vijayaraj ◽  
T. Senthil Murugan

Background: Number of resource allocation and bidding schemes had been enormously arrived for on demand supply scheme of cloud services. But accessing and presenting the Cloud services depending on the reputation would not produce fair result in cloud computing. Since the cloud users not only looking for the efficient services but in major they look towards the cost. So here there is a way of introducing the bidding option system that includes efficient user centric behavior analysis model to render the cloud services and resource allocation with low cost. Objective: The allocation of resources is not flexible and dynamic for the users in the recent days. This gave me the key idea and generated as a problem statement for my proposed work. Methods: An online auction framework that ensures multi bidding mechanism which utilizes user centric behavioral analysis to produce the efficient and reliable usage of cloud resources according to the user choice. Results: we implement Efficient Resource Allocation using Multi Bidding Model with User Centric Behavior Analysis. Thus the algorithm is implemented and system is designed in such a way to provide better allocation of cloud resources which ensures bidding and user behavior. Conclusion: Thus the algorithm Efficient Resource Allocation using Multi Bidding Model with User Centric Behavior Analysis is implemented & system is designed in such a way to provide better allocation of cloud resources which ensures bidding, user behavior. The user bid data is trained accordingly such that to produce efficient resource utilization. Further the work can be taken towards data analytics and prediction of user behavior while allocating the cloud resources.


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