scholarly journals A Game-Theoretic Based Resource Allocation Strategy for Cloud Computing Services

2016 ◽  
Vol 2016 ◽  
pp. 1-13
Author(s):  
Wang Yan ◽  
Wang Jinkuan ◽  
Sun Jinghao
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Nash Equilibrium ◽  
System Performance ◽  
Nash Bargaining ◽  
Noncooperative Game ◽  
Allocation Strategy ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm ◽  
Computing Services

We propose an economics-oriented cloud computing resources allocation strategy with the use of game theory. Then we develop a resource allocation algorithm named NCGRAA (noncooperative game resource allocation algorithm) to search the Nash equilibrium solution that makes the utility of various resource providers achieve optimum. We also propose an algorithm named BGRAA (bargaining game resource allocation algorithm) to further increase the overall revenue with the constraints of efficiency and fairness. Based on numerical results, we discuss the influence of NCGRAA and BGRAA for the utility of resource on the system performance. It shows that the choice of parameters of the two algorithms is significant in improving the system performance and converging to the Nash equilibrium and Nash bargaining.

An Optimal Resource Allocation Algorithm in Cloud Computing Environment

2015 ◽  
Vol 733 ◽  
pp. 779-783 ◽  
Author(s):  
Lu Dai ◽  
Jian Hua Li
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Energy Optimization ◽  
Scientific Basis ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm ◽  
Optimal Resource ◽  
And Performance

Resource allocation is a key technology of cloud computing. At present, the most of studies on resource allocation mainly focus on improving the overall performance by balancing the load of data center. This paper will design the experimental platform of resource allocation algorithm, energy optimization and performance analysis, obtain original achievements in scientific research ,for the resource allocation method based on immune algorithm and energy optimization in cloud computing to provide innovative ideas and scientific basis. This research has important significance for further study on resource allocation and energy optimization in cloud computing environment.

scholarly journals A new dynamic and enhanced resource allocation algorithm in cloud computing

2019 ◽  
Vol 1228 ◽  
pp. 012033
Author(s):  
T Satya Nagamani ◽  
K N V S K Vijaya Lakshmi ◽  
B Lalitha Bhavani
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm

scholarly journals Resource Allocation Algorithm Based on Power Control and Dynamic Transmission Protocol Configuration for HAPS-IMT Integrated System

Electronics ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 44
Author(s):  
Li Wang ◽  
Xiaoyan Zhao ◽  
Cheng Wang ◽  
Weidong Wang
Keyword(s):  
Resource Allocation ◽  
Power Control ◽  
User Satisfaction ◽  
System Performance ◽  
Spectrum Sharing ◽  
Integrated System ◽  
Frame Structure ◽  
Transmission Protocol ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm

The high altitude platform station (HAPS) system is an essential component of the air-based network. It can shorten transmission delay and make a better user experience compared with satellite networks, and it can also be easily deployed and cover a larger area compared with international mobile telecommunications (IMT). In order to meet the needs of users with asymmetric and random data flow, the spectrum sharing and dynamic time division duplexing (TDD) mode are used in HAPS-IMT heterogeneous network. However, the cross-link interference brought by TDD mode will lead to the degradation of system performance. In this paper, a resource allocation algorithm based on power control and dynamic transmission protocol configuration is proposed. Firstly, a specific timeslot, “low power almost-bank subframe (LP-ABS)”, is introduced into the frame structure of the HAPS physical layer. The transmission protocol designing could mitigate inter-layer interference efficiently by power control in “LP-ABS”. Secondly, the utilization function is adopted for assessing the system performance, which gives attention to both diversified requirements on the quality of services (QoS) and the throughput of the HAPS-IMT system. Simulation results show that power control and resource allocation technologies proposed in this paper can effectively improve system performance and user satisfaction.

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