Title
Scalable Resource Aggregation Service of an ErlangOTP PaaS Platform
Abstract
The availability of powerful processors and cheap storage devices as commodity components has improved large-scale distributed computing in PaaS cloud platforms. In a multi-user PaaS platform, resources, including computing units and data storage, should be shared between numbers of users. There is a great challenge in allocating and aggregating these resources for different users. In this paper, we present a design of scalable resource aggregation service in a multi-user PaaS platform. The design contains three parts: 1) a set of distributed, autonomous virtual computing nodes provided for every user, which are isolated from each other, 2) a task man-ager acting as user proxy in the system, responsible for controlling tasks and monitor runtime information, 3) a consistent resource view, which can be operated by the above distributed nodes with the same owner. We are implementing such a service in our prototype of networked concurrent computing environment named UniAS. In order to operate the system easily, we also implement a client shell for remote user. The future work is discussed at the end.
Year
DOI
Venue
2013
10.1109/SOSE.2013.76
SoSE
Keywords
Field
DocType
large-scale distributed computing,remote user,distributed computing node,multiuser paas platform,multi-user,storage device,processors,paas cloud platform,multi-user paas platform,networked concurrent computing environment,resources aggregation,task manager,resource allocation,commodity component,erlangotp paas platform,scalability,cheap storage device,runtime information monitoring,consistent resource view,user proxy,data storage,unias,autonomous virtual computing,distributed computing,autonomous virtual computing node,task control,cloud computing,different user,computing unit,scalable resource aggregation service,operating systems
Computer science,Computer data storage,Real-time computing,Utility computing,Distributed algorithm,Resource allocation,Concurrent computing,Scalability,Cloud computing,Multi-user,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-4673-5659-6
1
0.39
References 
Authors
3
4
Name
Order
Citations
PageRank
Hanglong Zhan182.10
Lianghuan Kang272.64
Lantao Liu315716.49
Donggang Cao46814.99