Title
RACS: A framework for Resource Aware Cloud computing
Abstract
Porting of the enterprise IT infrastructure to the cloud based solutions has raised many issues particularly related to the cloud computing. Every enterprise wants to utilize reliable cloud infrastructure with a high level of performance by keeping cost as low as possible. We need a model to achieve this. In this paper, we introduce a framework, which increases the performance of the application and ensures high level of reliability during the scheduling of the process / application onto the cloud. It is a cloud scheduler module named as Resource Aware Cloud Scheduling (RACS) module, which helps the scheduler in making the scheduling decisions on the basis of different characteristics of cloud resources. These characteristics can be reliability, network latency, bandwidth, error rate, topology, proximity, processing power, fault tolerance, memory availability, library availability, environment compatibility, and monetary cost of the cloud services. RACS consists of multiple sub modules, which are responsible for their corresponding tasks.
Year
Venue
Keywords
2012
London
business data processing,cloud computing,resource allocation,scheduling,RACS module,bandwidth characteristic,cloud based solution,cloud computing,cloud infrastructure,cloud resource,cloud scheduling,enterprise IT infrastructure,environment compatibility characteristic,error rate characteristic,fault tolerance characteristic,information technology,library availability characteristic,memory availability characteristic,monetary cost characteristic,network latency characteristic,processing power characteristic,proximity characteristic,reliability characteristic,resource aware cloud computing,topology characteristic,Cloud computing,Cloud scheduling,Latency grouping,Network measurement,Reliability,Resource awareness
Field
DocType
ISSN
Computer science,Scheduling (computing),Computer network,Fault tolerance,Bandwidth (signal processing),Resource allocation,Porting,Cloud testing,Single-chip Cloud Computer,Cloud computing,Distributed computing
Conference
2164-7046
ISBN
Citations 
PageRank 
978-1-4673-5325-0
3
0.39
References 
Authors
18
3
Name
Order
Citations
PageRank
Sheheryar Malik130.73
Fabrice Huet230.73
Denis Caromel330.39