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Located Functions for Distributed Computations Stephen Crouch, Peter Henderson, Robert John Walters University of Southampton, Southampton, United Kingdom, SO17 1BJ {stc,ph,rjw1}@ecs.soton.ac.uk
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Popular approaches abstract away location (GRID) Users are discouraged from considering location Exemplified by Web Services Attention is concentrated on the meaning of computation (calculations)
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But, Locations cannot be ignored They have to be considered if computations are to be performed efficiently and reliably A suitable notation is required for describing and reasoning about them
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Consider a simple GRID task Data extracted from a database (and processed) More data extracted from another (and processed) Results of both operations are combined Final processing and formatting for presentation
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Might look like this Process Data & Visualise Database 1 Database 2 Database Service 1 Database Service 2 Query Results Result
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Could be abstracted to: Useful for reasoning about meaning and getting the right result
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Issues for realisation Data may be available from multiple locations Processing may be available in many places Factors: speed, bandwidth, reliability, security, cost… When one dataset is huge, it may make sense to move many others Exploiting useful/necessary processing power may also involve apparently unnecessary relocations of data Choices have to be made but the abstract description devoid of locations doesn’t help…
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Our proposition, “Decorate” abstract description with locations A natural way to specify where data comes from, and where it is processed Implications of location decisions easy to understand and quantify
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The notation: Add locations to names of data and processes of the abstract notation List alternatives where they exist Use _ for unknowns or “don’t care”
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In the example: Data D 1 is at location 1, D 2 is at 2 … Can do f anywhere, g must happen at 2 Process h can be executed at 1 or 2
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Making decisions Where to get the data (and where to put it) Where to do the processing Processing has to be co-located with the Data it uses Implication of choices is evident from the notation
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