Non-Payment Incentive Mechanism Design for Resource Allocation in a Private Cloud System
Author(s) -
Weiwei Wu,
Minming Li,
Jianping Wang,
Xiumin Wang
Publication year - 2018
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2018.2861561
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Truthful resource request from users is the premise to achieve the maximum social welfare in an enterprise private cloud. To stimulate the truthfulness of users, most previous works mainly rely on introducing the payment, which however, might not be applicable in enterprise private clouds, where there is a lack of money transfer. To address this issue, this paper proposes non-payment but efficient mechanisms in private clouds to stimulate the truthfulness of the users and meanwhile maximize the social welfare. Moreover, different from previous works that allow only one job request from one user, this paper studies a more general model, where multiple jobs can be submitted by each user. Specifically, we consider two task models: the migration-admissible model and non-migration model. In the former model, jobs can be executed at different servers, and may undergo migration if necessary. Alternatively, in the latter model, jobs can only be executed at one server without migration. For both models, we design incentive resource allocation mechanisms to maximize the social welfare. Theoretically analysis shows that the proposed mechanisms are truthful for general monotonic profit functions and the worst-case performance on the social welfare are well-bounded within a constant factor of the optimal solution for linear profit functions. Simulation results also demonstrate that the performances of the proposed mechanisms are very close to the optimal solution, in terms of maximizing the social welfare.
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