Paper Info
Title
Automated Dynamic Resource Provisioning and Monitoring in Virtualized Large-Scale Datacenter
Abstract
Infrastructure as a Service (IaaS) is a pay-as-you go based cloud provision model which on demand outsources the physical servers, guest virtual machine (VM) instances, storage resources, and networking connections. This article reports the design and development of our proposed innovative symbiotic simulation based system to support the automated management of IaaS-based distributed virtualized data enter. To make the ideas work in practice, we have implemented an Open Stack based open source cloud computing platform. A smart benchmarking application \"Cloud Rapid Experimentation and Analysis Tool (aka CBTool)\" is utilized to mark the resource allocation potential of our test cloud system. The real-time benchmarking metrics of cloud are fed to a distributed multi-agent based intelligence middleware layer. To optimally control the dynamic operation of prototype data enter, we predefine some custom policies for VM provisioning and application performance profiling within a versatile cloud modeling and simulation toolkit \"CloudSim\". Both tools for our prototypes' implementation can scale up to thousands of VMs, therefore, our devised mechanism is highly scalable and flexibly be interpolated at large-scale level. Autonomic characteristics of agents aid in streamlining symbiosis among the simulation system and IaaS cloud in a closed feedback control loop. The practical worth and applicability of the multiagent-based technology lies in the fact that this technique is inherently scalable hence can efficiently be implemented within the complex cloud computing environment. To demonstrate the efficacy of our approach, we have deployed an intelligible lightweight representative scenario in the context of monitoring and provisioning virtual machines within the test-bed. Experimental results indicate notable improvement in the resource provision profile of virtualized data enter on incorporating our proposed strategy.
Year
DOI
Venue
2014
10.1109/AINA.2014.117
Advanced Information Networking and Applications
Keywords
Field
DocType
cloud computing,computer centres,feedback,middleware,multi-agent systems,resource allocation,virtual machines,virtualisation,CBTool,CloudSim toolkit,IaaS,VM instances,closed feedback control loop,cloud rapid experimentation and analysis tool,distributed multiagent based intelligence middleware layer,dynamic resource monitoring,dynamic resource provisioning,infrastructure-as-a-service,networking connections,open stack based open source cloud computing,pay-as-you-go based cloud provision model,storage resources,symbiotic simulation based system,virtual machine instance,virtualized large-scale data center,Autonomic Computing,Cloud Benchmarking,Multi-agent Technology,Resource Provisioning,Symbiotic Simulation,Virtualized Datacenter
Middleware,Autonomic computing,Virtual machine,Computer science,Computer network,Provisioning,Resource allocation,Operating system,Cloud testing,Distributed computing,Cloud computing,CloudSim
Conference
ISSN
Citations 
PageRank 
1550-445X
2
0.37
References 
Authors
10
4
Name
Order
Citations
PageRank
Sameera Abar1454.23
Pierre Lemarinier260.78
Georgios K. Theodoropoulos3352.62
G. M. P. O’Hare428820.39