A Resource Allocation Method for Computational Grids Based on On-line Reverse Auction

2009 ◽  
Author(s):  
Chao Zhang ◽  
Wenyu Qu ◽  
Zhaobin Liu ◽  
Wanlei Zhou
Keyword(s):  
Resource Allocation ◽  
Computational Grids ◽  
Reverse Auction ◽  
Allocation Method ◽  
On Line

Auction-Based Resource Allocation in Computational Grids

2013 ◽  
Vol 816-817 ◽  
pp. 847-850 ◽  
Author(s):  
Li Li Ding ◽  
Zheng Wei Wang ◽  
Xiao Ling Wang
Keyword(s):  
Resource Allocation ◽  
Complete Information ◽  
Computational Grid ◽  
Computational Grids ◽  
Grid Resource ◽  
Simulation Experiments ◽  
Auction Models ◽  
Degree Function ◽  
On Line ◽  
Grid Resource Allocation

Auction techniques have been becoming the key methods in grid resource allocation. In this paper, we propose the multi-attribute reverse auction models for computational grid resource based on the designed satisfaction degree function. The fairness is also introduced into the models and protocols to match the reality. Two auction-based protocols are presented, i.e., the offline multi-attribute auction-based protocol and the on-line multi-attribute auction-based protocol. The goal is to help the resource user make multi-attribute decisions with complete information or incomplete information. Results from simulation experiments show that these two protocols can achieve market efficiency and fairness in most instances.

A Multi-Agent Management System for Grid Resource Allocation

2013 ◽  
Vol 760-762 ◽  
pp. 973-976
Author(s):  
Wang Lin Kang ◽  
Xin Min Liu ◽  
Kai Wang
Keyword(s):  
Resource Allocation ◽  
Resource Utilization ◽  
Value Function ◽  
Multi Agent System ◽  
Reverse Auction ◽  
Grid Resource ◽  
Agent System ◽  
On Line ◽  
Multi Agent ◽  
Grid Resource Allocation

This paper designs a decentralized resource multi-agent system based on a novel reverse auction protocol. In the implementation of this multi-agent system, first the multi-attribute bids offered by the provider agents are calculated based on the users preference value function. Furthermore, an on-line reverse auction mechanism is provided to describe the on-line situation. I.e., the different grid resource provider agents arrive at different times and this mechanism is required to make an immediate decision about each bid as it is received. Numerous simulating experiments show that the proposed reverse auction method is effective in resource utilization and has better performance in user utility.

Resource allocation on computational grids using a utility model and the knapsack problem

2009 ◽  
Vol 25 (1) ◽  
pp. 35-50 ◽  
Author(s):  
Daniel C. Vanderster ◽  
Nikitas J. Dimopoulos ◽  
Rafael Parra-Hernandez ◽  
Randall J. Sobie
Keyword(s):  
Resource Allocation ◽  
Knapsack Problem ◽  
Computational Grids ◽  
Utility Model

Fair Resource Allocation Policies in Reverse Auction-Based Cloud Market

2021 ◽  
Vol 2 (6) ◽  
Author(s):  
Dinesh Kumar ◽  
Gaurav Baranwal ◽  
Deo Prakash Vidyarthi
Keyword(s):  
Resource Allocation ◽  
Reverse Auction

scholarly journals Load-Balancing and QoS Based Dynamic Resource Allocation Method for Smart Gird Fiber-Wireless Networks

2019 ◽  
Vol 28 (6) ◽  
pp. 1234-1243 ◽  
Author(s):  
Siya Xu ◽  
Peng Li ◽  
Feng Qi ◽  
Shaoyong Guo ◽  
Guiping Zhou ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Wireless Networks ◽  
Load Balancing ◽  
Dynamic Resource Allocation ◽  
Allocation Method ◽  
Dynamic Resource ◽  
Smart Gird
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