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Scalable Resource Aggregation Service of an ErlangOTP PaaS Platform

Authors: Hanglong Zhan; Lianghuan Kang; Lantao Liu; Donggang Cao;

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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