Paper Info
Title
Proof-of-work certificates that can be efficiently computed in the cloud.
Abstract
In an emerging computing paradigm, computational capabilities, from processing power to storage capacities, are offered to users over communication networks as a cloud-based service. There, demanding computations are outsourced in order to limit infrastructure costs. The idea of verifiable computing is to associate a data structure, a proof-of-work certificate, to the result of the outsourced computation. This allows a verification algorithm to prove the validity of the result, faster than by recomputing it. We talk about a Prover (the server performing the computations) and a Verifier. Goldwasser, Kalai and Rothblum gave in 2008 a generic method to verify any parallelizable computation, in almost linear time in the size of the, potentially structured, inputs and the result. However, the extra cost of the computations for the Prover (and therefore the extra cost to the customer), although only almost a constant factor of the overall work, is nonetheless prohibitive in practice. Differently, we will here present problem-specific procedures in computer algebra, e.g. for exact linear algebra computations, that are Prover-optimal, that is that have much less financial overhead.
Year
Venue
Field
2018
arXiv: Symbolic Computation
Verifiable computing,Proof-of-work system,Data structure,Discrete mathematics,Symbolic computation,Theoretical computer science,Time complexity,Gas meter prover,Mathematics,Certificate,Cloud computing
DocType
Volume
Citations 
Journal
abs/1806.11293
0
PageRank 
References 
Authors
0.34
0
1
Name
Order
Citations
PageRank
Jean-Guillaume Dumas142868.48