Server load balancing
Apache: The Definitive Guide
Scheduling and Load Balancing in Parallel and Distributed Systems
Scheduling and Load Balancing in Parallel and Distributed Systems
ECBS '06 Proceedings of the 13th Annual IEEE International Symposium and Workshop on Engineering of Computer Based Systems
Loaded: Server Load Balancing for IPv6
ICNS '06 Proceedings of the International conference on Networking and Services
Cloud Computing: New Wine or Just a New Bottle?
IT Professional
Desktop to cloud transformation planning
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
A comparison of load balancing techniques for scalable Web servers
IEEE Network: The Magazine of Global Internetworking
Hardware-in-the-loop simulation for automated benchmarking of cloud infrastructures
Proceedings of the Winter Simulation Conference
Hospitality of cloud platforms
Proceedings of the 28th Annual ACM Symposium on Applied Computing
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One of the distinguishing characteristics of the cloud model is the ability for the service users to horizontally scale computing resources to match customer demand. Because the cloud model is offered in a pay-as-you-go scheme, it is in the service user's best interest to maximize utilization while still providing a high quality of service to the customer. This paper describes a discrete event simulation model that is used to explore the relationship between the horizontal scaling profile configurations and the functionality of the cloud model. Initial results show that both a state-aware load distribution algorithm and the parameters that dictate the elasticity of the horizontal scaling ability are essential to achieving high rates of utilization. Through modeling and simulation, this paper presents both a framework and initial results to further explore the cloud model.