Scipediacontent: Scipediacontent moved page Draft Content 439975983 to Eisele et al 2020a

2021-02-03T20:57:33Z

Scipediacontent moved page Draft Content 439975983 to Eisele et al 2020a

Scipediacontent: Created page with " == Abstract == the number of personal computing and IoT devices grows rapidly, so does the amount of computational power that is available at the edge. Since many of these..."

2021-02-03T20:57:30Z

Created page with " == Abstract == the number of personal computing and IoT devices grows rapidly, so does the amount of computational power that is available at the edge. Since many of these..."

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== Abstract ==

the number of personal computing and IoT devices grows rapidly, so does the amount of computational power that is available at the edge. Since many of these devices are often idle, there is a vast amount of computational power that is currently untapped, and which could be used for outsourcing computation. Existing solutions for harnessing this power, such as volunteer computing (e.g., BOINC), are centralized platforms in which a single organization or company can control participation and pricing. By contrast, an open market of computational resources, where resource owners and resource users trade directly with each other, could lead to greater participation and more competitive pricing. To provide an open market, we introduce MODiCuM, a decentralized system for outsourcing computation. MODiCuM deters participants from misbehaving-which is a key problem in decentralized systems-by resolving disputes via dedicated mediators and by imposing enforceable fines. However, unlike other decentralized outsourcing solutions, MODiCuM minimizes computational overhead since it does not require global trust in mediation results. We provide analytical results proving that MODiCuM can deter misbehavior, and we evaluate the overhead of MODiCuM using experimental results based on an implementation of our platform.

== Original document ==

The different versions of the original document can be found in:

* [http://arxiv.org/abs/2005.11429 http://arxiv.org/abs/2005.11429]

* [http://arxiv.org/pdf/2005.11429 http://arxiv.org/pdf/2005.11429]

* [https://dblp.uni-trier.de/db/journals/corr/corr2005.html#abs-2005-11429 https://dblp.uni-trier.de/db/journals/corr/corr2005.html#abs-2005-11429],
: [https://academic.microsoft.com/#/detail/3043195735 https://academic.microsoft.com/#/detail/3043195735]

* [https://dl.acm.org/doi/pdf/10.1145/3401025.3401737 https://dl.acm.org/doi/pdf/10.1145/3401025.3401737],
: [http://dx.doi.org/10.1145/3401025.3401737 http://dx.doi.org/10.1145/3401025.3401737] under the license http://www.acm.org/publications/policies/copyright_policy#Background

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Eisele et al 2020a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 439975983 to Eisele et al 2020a

Scipediacontent: Created page with " == Abstract == the number of personal computing and IoT devices grows rapidly, so does the amount of computational power that is available at the edge. Since many of these..."