Paper Info
Title
Towards Efficient Resource Management in Cloud Computing: A Survey
Abstract
In the area of cloud computing virtualization has become an indispensable means to enable the efficient utilization of existing compute infrastructure. Selecting the right amount of virtualized resources for an application in such an environment is not an easy task and requires the utilization of three strongly interconnected resource management areas: resource modeling, resource estimation and resource discovery & selection. Most solutions enable an accurate selection of the most appropriate virtual resource package for specific application types already. Support for arbitrary applications, however, is rarely considered which means approaches in this area are usually not applicable for general use cases and, more importantly, difficult to compare with each other. We analyze the most promising existing research in resource management and examine monitored values, supported application classes and the most important criteria for evaluating the effectiveness of the approach. We identify key similarities and differences as well as open research challenges. The discussion about possible solutions includes application classification and the introduction of a general application model to support the selection of the most appropriate resource management approaches for arbitrary applications.
Year
DOI
Venue
2016
10.1109/FiCloud.2016.32
2016 IEEE 4th International Conference on Future Internet of Things and Cloud (FiCloud)
Keywords
Field
DocType
resource management,cloud computing,resource modeling,resource demand estimation,application classification
Virtualization,Data science,Open research,Resource management,Use case,Computer science,Knowledge management,Human resource management system,Resource allocation,Cloud computing
Conference
ISBN
Citations 
PageRank 
978-1-5090-4053-7
3
0.37
References 
Authors
31
3
Name
Order
Citations
PageRank
Markus Ullrich173.62
Jörg Lässig217522.53
Martin Gaedke31050164.00