Reengineering J2EE Servers for Automated Management in Distributed Environments
IEEE Distributed Systems Online
Rapid Deployment of SOA Solutions via Automated Image Replication and Reconfiguration
SCC '08 Proceedings of the 2008 IEEE International Conference on Services Computing - Volume 1
Automatic Realization of SOA Deployment Patterns in Distributed Environments
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Future Generation Computer Systems
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A Declarative Language Framework for Cloud Computing Management
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Power optimization for dynamic configuration in heterogeneous web server clusters
Journal of Systems and Software
Journal of Systems and Software
Model-driven auto-scaling of green cloud computing infrastructure
Future Generation Computer Systems
The case for dynamic security solutions in public cloud workflow deployments
DSNW '11 Proceedings of the 2011 IEEE/IFIP 41st International Conference on Dependable Systems and Networks Workshops
Dynamic Deployment and Management of Elastic Virtual Clusters
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Defining a Basic Framework for the Deployment/Adaptation of Pervasive Applications
ICEBE '11 Proceedings of the 2011 IEEE 8th International Conference on e-Business Engineering
A Deployment Platform for Dynamically Scaling Applications in the Cloud
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TopCluster: A hybrid cluster model to support dynamic deployment in Grid
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A Model-Based Approach for Optimizing Power Consumption of IaaS
NCCA '12 Proceedings of the 2012 Second Symposium on Network Cloud Computing and Applications
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A load balanced cluster is an abstraction for set of servers that are configured to share the workload. Each server of the cluster hosts the same set of applications or services. The process of application deployment is laborious and it is essential to efficiently manage a cluster. The existing techniques allow automation of the initial deployment and dynamic scaling. However, after the initial deployment, they do not ensure cluster members' consistency. This is quite important, as change is inevitable in the life of a software application. A new application may need to be deployed to an existing cluster or an existing application may need to be upgraded. In this paper, we propose a Model View Controller based, Self-Adjusting Cluster Framework (SACF) that enables auto deployment, auto upgradation and cluster members' consistency.