Economic models and algorithms for distributed systems by Dirk Neumann, Mark Baker, Jörn Altmann, Omer F. Rana PDF
By Dirk Neumann, Mark Baker, Jörn Altmann, Omer F. Rana
Distributed computing paradigms for sharing assets resembling Clouds, Grids, Peer-to-Peer platforms, or voluntary computing have gotten more and more renowned. whereas there are a few good fortune tales resembling PlanetLab, OneLab, BOINC, BitTorrent, and SETI@home, a frequent use of those applied sciences for enterprise functions has now not but been completed. In a company atmosphere, mechanisms are had to supply incentives to capability clients for partaking in such networks. those mechanisms could diversity from easy non-monetary entry rights, financial funds to express regulations for sharing. even supposing a number of types for a framework were mentioned (in the overall region of a "Grid Economy"), none of those types has but been realised in perform. This publication makes an attempt to fill this hole by means of discussing the explanations for such restricted take-up and exploring incentive mechanisms for source sharing in disbursed platforms. the aim of this ebook is to spot examine demanding situations in effectively utilizing and deploying source sharing concepts in open-source and advertisement disbursed systems.
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5) θ ∗ e ntotal (cj ) nf (cj ) ≥ 1 where nf (cj ) is a parameter representing the number of times the community cj provided incorrect information to other communities since time t0 , ntotal (cj ) 52 Georgia Kastidou and Robin Cohen represents the total number of times that community provided information to other communities since time t0 , and θ, is a parameter which depicts the severeness of the penalty for providing wrong information (currently we consider θ = 1). The proposed formula exponentially increases the penalty that each community has to pay with respect to the number of times it provided inaccurate information but also gives a chance to communities with previous bad behaviour.
CPU cycles, however, cannot be shared within 32 Arun Anandasivam and Dirk Neumann one timeslot without loss of quality. Subsequently, the assignment of resources does not only depend on his provision level, but also on the available resources at the requested timeslot. Moreover, we do not reject requests based on probability. Jobs which have been submitted to a site must be accepted. The introduction of payment can solve the problem of ineﬃcient resource usage. Every user has to pay a certain amount of money to receive resources.
2 Model The main idea has been derived from , where the authors propose a reputationbased pricing for services in P2P networks based on the provided quality of service. Deadlines and completion time are not considered in their utility function and thus not suited for Grid. Our utility function comprises these parameters. We adapted the online scheduling mechanisms from  and . Porter’s utility function is not based on the length of the job, but on the valuation for the job. The mechanism contemplates when and how a job has to be submitted and users can report true or false values for job length or job valuation.
Economic models and algorithms for distributed systems by Dirk Neumann, Mark Baker, Jörn Altmann, Omer F. Rana