Performance Model Estimation and Tracking Using Optimal Filters
IEEE Transactions on Software Engineering
Enhanced Modeling and Solution of Layered Queueing Networks
IEEE Transactions on Software Engineering
ICAC '09 Proceedings of the 6th international conference on Autonomic computing
Performance model driven QoS guarantees and optimization in clouds
CLOUD '09 Proceedings of the 2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing
Deployment of Services in a Cloud Subject to Memory and License Constraints
CLOUD '09 Proceedings of the 2009 IEEE International Conference on Cloud Computing
SLA-Aware Virtual Resource Management for Cloud Infrastructures
CIT '09 Proceedings of the 2009 Ninth IEEE International Conference on Computer and Information Technology - Volume 02
SLA-aware Resource Management for Application Service Providers in the Cloud
NCCA '11 Proceedings of the 2011 First International Symposium on Network Cloud Computing and Applications
CloudOpt: multi-goal optimization of application deployments across a cloud
Proceedings of the 7th International Conference on Network and Services Management
An economic approach for application qos management in clouds
Euro-Par'11 Proceedings of the 2011 international conference on Parallel Processing - Volume 2
Feedback-based optimization of a private cloud
Future Generation Computer Systems
Dynamic Service Placement in Geographically Distributed Clouds
ICDCS '12 Proceedings of the 2012 IEEE 32nd International Conference on Distributed Computing Systems
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Current cloud management systems have limited awareness of the user application, and application managers have no awareness of the state of the cloud. For applications with strong real-time requirements, distributed across new multi-cloud environments, this lack of awareness hampers response-time assurance, efficient deployment and rapid adaptation to changing workloads. This paper considers what forms this awareness may take, how it can be exploited in managing the applications and the clouds, and how it can influence cloud architecture.