You are free to copy, distribute, display, and perform the work under the following conditions: If you are in doubt about any proposed reuse, you should contact the author via: For Feòrag, with love This book took me five years to write – a personal record – and would not exist without the support and encouragement of a host of friends, and several friendly editors.ABSTRACT: Oil and gas processing facilities utilize various process automation systems with proprietary controllers.As the systems age; older technologies become obsolete resulting in frequent premature capital investments to sustain their operation.When bursts occur, incoming requests that exceed maximum processing capacity of the node, instead of being dropped, are diverted to a secondary queue.Requests in the secondary queue are concurrently scheduled with the primary queue, so that they can be immediately executed whenever the node has any processing power unused as the results of burst fluctuations.However, due to the availability of a number of models spread over different ABSRM categories, it is difficult to know which one is a suitable choice for a particular system.
However, existing component models provide no support for real-time services and some real-time extensions of component models lack of consideration for reusability of components in providing real-time services.
In this paper we propose a novel approach for efficient stream processing of bursts in the Cloud.
Springer, Berlin, Heidelberg In the recent years, many emerging on-line data analysis applications require real-time delivery of the streaming data while dealing with unpredictable increase in the volume of data.
Component technology has become a central focus of software engineering in research and development.
Reusability is a key factor that contributes to its success.