Managing an Elastic Compute Cluster with Python
George Belotsky (CinematX Digital) and Heath Johns (CinematX Digital)
The power and cooling costs of large data centres is increasingly becoming a problem for the bottom line -- as well as the environment. Efficient utilization of computing resources is key to controlling this problem. Elastic computing (such as Amazon's EC2 service) provides the solution, but at the risk of much higher complexity. Will the resources be there when needed? Will the system support existing applications? How different will future application development become?
To answer these questions, elastic computing implementations require a heterogeneous mix of components, algorithms and system administration techniques -- old as well as new. Python is the ideal language to compose all of these disparate parts into a single coherent resource, which provides computing power as simply as switching on the light.
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