A dynamic resource management system for real-time online applications on clouds

Authors:
Dominik Meiländer;Alexander Ploss;Frank Glinka;Sergei Gorlatch
Affiliations:
University of Muenster, Germany;University of Muenster, Germany;University of Muenster, Germany;University of Muenster, Germany
Venue:
Euro-Par'11 Proceedings of the 2011 international conference on Parallel Processing
Year:
2011

Citing 7
Cited 2

The cost of doing science on the cloud: the Montage example

Proceedings of the 2008 ACM/IEEE conference on Supercomputing
Flying Low: Simple Leases with Workspace Pilot

Euro-Par '08 Proceedings of the 14th international Euro-Par conference on Parallel Processing
Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities

HPCC '08 Proceedings of the 2008 10th IEEE International Conference on High Performance Computing and Communications
High-level development of multiserver online games

International Journal of Computer Games Technology - Networking for Computer Games
The Eucalyptus Open-Source Cloud-Computing System

CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
The impact of virtualization on the performance of Massively Multiplayer Online Games

Proceedings of the 8th Annual Workshop on Network and Systems Support for Games
Resource provisioning of web applications in heterogeneous clouds

WebApps'11 Proceedings of the 2nd USENIX conference on Web application development

Analysis of control-theoretic predictive strategies for the adaptation of distributed parallel computations

Proceedings of the first ACM workshop on Optimization techniques for resources management in clouds
A Cooperative Predictive Control Approach to Improve the Reconfiguration Stability of Adaptive Distributed Parallel Applications

ACM Transactions on Autonomous and Adaptive Systems (TAAS)

Quantified Score

Hi-index	0.00

Visualization

Abstract

We consider a challenging class of highly interactive virtual environments, also known as Real-Time Online Interactive Applications (ROIA). Popular examples of ROIA include multi-player online computer games, e-learning and training applications based on real-time simulations, etc. ROIA combine high demands on the scalability and real-time user interactivity with the problem of efficient and economic utilization of resources, which is difficult to achieve due to the changing number of users. We address these challenges by developing the dynamic resource management system RTF-RMS which implements load balancing for ROIA on Clouds. We illustrate how RTF-RMS chooses between three different load-balancing actions and implements Cloud resource allocation. We report experimental results on the load balancing of a multi-player online game in a Cloud environment using RTF-RMS.