Title
Elastic Application Container: A Lightweight Approach for Cloud Resource Provisioning
Abstract
Virtual machine (VM) based virtual infrastructure has been adopted widely in cloud computing environment for elastic resource provisioning. Performing resource management using VMs, however, is a heavyweight task. In practice, we have identified two scenarios where VM based resource management is less feasible and less resource-efficient. In this paper, we propose a lightweight resource management model that is called Elastic Application Container (EAC). EAC is a virtual resource unit for delivering better resource efficiency and more scalable cloud applications. We describe the EAC system architecture and components, and also present an algorithm for EAC resource provisioning. We also describe an implementation of the EAC-oriented platform to support multi-tenant cloud use. To evaluate our approach and implementation, we conducted experiments and collected performance data by comparing VM-based and EAC-based resource management with regards to their feasibility and resource-efficiency. The experiment results show that our proposed EAC-based resource management approach outperforms the VM-based approach in terms of feasibility and resource-efficiency.
Year
DOI
Venue
2012
10.1109/AINA.2012.74
AINA
Keywords
DocType
ISSN
architecture,virtual machine based virtual infrastructure,better resource efficiency,scalable cloud applications,eac-based resource management,eac system architecture,lightweight approach,lightweight,elastic resource,multi-tenancy,vm-based approach,elastic application container,virtual machines,eac-based resource provisioning,resource allocation,resource-efficiency,lightweight resource management model,resource management,eac resource,eac-oriented platform,cloud resource provisioning,cloud computing,proposed eac-based resource management,vm based resource management,elastic resource provisioning,virtual resource unit,multitenant cloud use,cloud computing environment,servers,system architecture,multi tenancy,resource manager,computer architecture,databases,virtual machine
Conference
1550-445X
ISBN
Citations 
PageRank 
978-1-4673-0714-7
30
1.19
References 
Authors
8
6
Name
Order
Citations
PageRank
Sijin He1955.46
guo li233514.64
Yike Guo31319165.32
Chao Wu415018.81
Moustafa Ghanem553853.05
Rui Han611710.88