Fat-trees: universal networks for hardware-efficient supercomputing
IEEE Transactions on Computers
A Weighted Moving Average-based Approach for Cleaning Sensor Data
ICDCS '07 Proceedings of the 27th International Conference on Distributed Computing Systems
A scalable, commodity data center network architecture
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
A new mechanism for resource monitoring in Grid computing
Future Generation Computer Systems
VL2: a scalable and flexible data center network
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
Dynamic Scaling of Web Applications in a Virtualized Cloud Computing Environment
ICEBE '09 Proceedings of the 2009 IEEE International Conference on e-Business Engineering
Monitoring and steering Grid applications with GRID superscalar
Future Generation Computer Systems
From infrastructure delivery to service management in clouds
Future Generation Computer Systems
P&P: A Combined Push-Pull Model for Resource Monitoring in Cloud Computing Environment
CLOUD '10 Proceedings of the 2010 IEEE 3rd International Conference on Cloud Computing
The reservoir model and architecture for open federated cloud computing
IBM Journal of Research and Development
Monitoring a virtual network infrastructure: an IaaS perspective
ACM SIGCOMM Computer Communication Review
Resource-level QoS metric for CPU-based guarantees in cloud providers
GECON'10 Proceedings of the 7th international conference on Economics of grids, clouds, systems, and services
Real-time Grid monitoring based on complex event processing
Future Generation Computer Systems
Future Generation Computer Systems
Monitoring, aggregation and filtering for efficient management of virtual networks
Proceedings of the 7th International Conference on Network and Services Management
Giving users an edge: A flexible Cloud model and its application for multimedia
Future Generation Computer Systems
OPTIMIS: A holistic approach to cloud service provisioning
Future Generation Computer Systems
A Stable Network-Aware VM Placement for Cloud Systems
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Database security management for healthcare SaaS in the Amazon AWS Cloud
ISCC '12 Proceedings of the 2012 IEEE Symposium on Computers and Communications (ISCC)
A content-aware bridging service for publish/subscribe environments
Journal of Systems and Software
A content-aware bridging service for publish/subscribe environments
Journal of Systems and Software
Editorial: The management of cloud systems
Future Generation Computer Systems
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One of the most important features in Cloud environments is to know the status and the availability of the physical resources and services present in the current infrastructure. A full knowledge and control of the current status of those resources enables Cloud administrators to design better Cloud provisioning strategies and to avoid SLA violations. However, it is not easy to manage such information in a reliable and scalable way, especially when we consider Cloud environments used and shared by several tenants and when we need to harmonize their different monitoring needs at different Cloud software stack layers. To cope with these issues, we propose Distributed Architecture for Resource manaGement and mOnitoring in cloudS (DARGOS), a completely distributed and highly efficient Cloud monitoring architecture to disseminate resource monitoring information. DARGOS ensures an accurate measurement of physical and virtual resources in the Cloud keeping at the same time a low overhead. In addition, DARGOS is flexible and adaptable and allows defining and monitoring new metrics easily. The proposed monitoring architecture and related tools have been integrated into a real Cloud deployment based on the OpenStack platform: they are openly available for the research community and include a Web-based customizable Cloud monitoring console. We report experimental results to assess our architecture and quantitatively compare it with a selection of other Cloud monitoring systems similar to ours showing that DARGOS introduces a very limited and scalable monitoring overhead.