Paper Info
Title
Towards a Biologically Inspired Soft Switching Approach for Cloud Resource Provisioning.
Abstract
Cloud elasticity augments applications to dynamically adapt to changes in demand by acquiring or releasing computational resources on the fly. Recently, we developed a framework for cloud elasticity utilizing multiple feedback controllers simultaneously, wherein, each controller determines the scaling action with different intensity, and the selection of an appropriate controller is realized with a fuzzy inference system. In this paper, we aim to identify the similarities between cloud elasticity and action selection mechanism in the animal brain. We treat each controller in our previous framework as an action, and propose a novel bioinspired, soft switching approach. The proposed methodology integrates a basal ganglia computational model as an action selection mechanism. Initial experimental results demonstrate the improved potential of the basal ganglia-based approach by enhancing the overall system performance and stability.
Year
DOI
Venue
2016
https://doi.org/10.1007/s12559-016-9391-y
Cognitive Computation
Keywords
Field
DocType
Cloud elasticity,Dynamic resource provisioning,Fuzzy logic,Basal ganglia,Soft switching,Auto-scaling,Elastic feedback controller
Control theory,Computer science,Fuzzy logic,On the fly,Provisioning,Artificial intelligence,Action selection,Elasticity (economics),Machine learning,Soft switching,Distributed computing,Cloud computing
Journal
Volume
Issue
ISSN
8
5
1866-9956
Citations 
PageRank 
References 
3
0.39
35
Authors
4
Name
Order
Citations
PageRank
Amjad Ullah181.48
Jingpeng Li235224.09
Amir Hussain338746.74
Erfu Yang412626.99