Abstract
Novel algorithmic ideas for big data have not been accompa-
nied by advances in the way central memory is allocated to concurrently
running programs. Commonly, RAM is poorly managed since the pro-
grams' trade o s between speed of execution and RAM consumption are
ignored. This trade o is, however, well known to the programmers. We
adopt mechanism design tools to truthfully elicit this (multidimensional)
information with the aim of designing more clever RAM allocation al-
gorithms. We introduce a novel paradigm wherein programs are bound
to overbidding declarations of their running times. We show the limi-
tations of this paradigm in the absence of transfers and prove how to
leverage waiting times, as a currency, to obtain optimal money burning
mechanisms for the makespan.
Original language | English |
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DOIs | |
Publication status | Published - 9 Dec 2015 |
Event | 11th Conference on Web and Internet Economics - CWI Amsterdam, Amsterdam, Netherlands Duration: 9 Dec 2015 → 12 Dec 2015 |
Conference
Conference | 11th Conference on Web and Internet Economics |
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Abbreviated title | WINE 2015 |
Country/Territory | Netherlands |
City | Amsterdam |
Period | 9/12/15 → 12/12/15 |