The Power of Two Choices in Randomized Load Balancing
IEEE Transactions on Parallel and Distributed Systems
Scalable Management and Data Mining Using Astrolabe
IPTPS '01 Revised Papers from the First International Workshop on Peer-to-Peer Systems
A scalable distributed information management system
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Queue - Virtualization
Queue - Virtualization
Virtualization: Blessing or Curse?
Queue - Security
mClock: handling throughput variability for hypervisor IO scheduling
OSDI'10 Proceedings of the 9th USENIX conference on Operating systems design and implementation
Scribe: a large-scale and decentralized application-level multicast infrastructure
IEEE Journal on Selected Areas in Communications
The personal cloud: design, architecture and matchmaking algorithms for resource management
Hot-ICE'12 Proceedings of the 2nd USENIX conference on Hot Topics in Management of Internet, Cloud, and Enterprise Networks and Services
Locality-aware dynamic VM reconfiguration on MapReduce clouds
Proceedings of the 21st international symposium on High-Performance Parallel and Distributed Computing
Selling T-shirts and Time Shares in the Cloud
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Dynamic virtual machine scheduling in clouds for architectural shared resources
HotCloud'12 Proceedings of the 4th USENIX conference on Hot Topics in Cloud Ccomputing
Two levels autonomic resource management in virtualized IaaS
Future Generation Computer Systems
Introducing service-level awareness in the cloud
Proceedings of the 4th annual Symposium on Cloud Computing
The sharing architecture: sub-core configurability for IaaS clouds
Proceedings of the 19th international conference on Architectural support for programming languages and operating systems
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Managing resources at large scale while providing performance isolation and efficient use of underlying hardware is a key challenge for any cloud management software. Most virtual machine (VM) resource management systems like VMware DRS clusters, Microsoft PRO and Eucalyptus, do not currently scale to the number of hosts and VMs supported by cloud service providers. In addition to scale, other challenges include heterogeneity of systems, compatibility constraints between virtual machines and underlying hardware, islands of resources created due to storage and network connectivity and limited scale of storage resources. In this paper, we shed light on some of the key issues in building cloud-scale resource management systems, based on five years of research and shipping cluster resource management products. Furthermore, we discuss various techniques to provide large scale resource management, along with the pros and cons of each technique. We hope to motivate future research in this area to develop practical solutions to these issues.