IEEE Internet Computing
A survey of Web cache replacement strategies
ACM Computing Surveys (CSUR)
The collective: a cache-based system management architecture
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
Combining batch execution and leasing using virtual machines
HPDC '08 Proceedings of the 17th international symposium on High performance distributed computing
Research on WEB Cache Prediction Recommend Mechanism Based on Usage Pattern
WKDD '08 Proceedings of the First International Workshop on Knowledge Discovery and Data Mining
Iceberg: An Image Streamer for Space and Time Efficient Provisioning of Virtual Machines
ICPPW '08 Proceedings of the 2008 International Conference on Parallel Processing - Workshops
SnowFlock: rapid virtual machine cloning for cloud computing
Proceedings of the 4th ACM European conference on Computer systems
Rapid Provisioning of Cloud Infrastructure Leveraging Peer-to-Peer Networks
ICDCSW '09 Proceedings of the 2009 29th IEEE International Conference on Distributed Computing Systems Workshops
Distributed caching algorithms for content distribution networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
RC2-a living lab for cloud computing
LISA'10 Proceedings of the 24th international conference on Large installation system administration
Forecasting for Grid and Cloud Computing On-Demand Resources Based on Pattern Matching
CLOUDCOM '10 Proceedings of the 2010 IEEE Second International Conference on Cloud Computing Technology and Science
Leveraging collaborative content exchange for on-demand VM multi-deployments in iaas clouds
Euro-Par'13 Proceedings of the 19th international conference on Parallel Processing
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One of the key metrics of performance in an infrastructure cloud is the speed of provisioning a virtual machine (or a virtual appliance) on request. A VM is instantiated from an image file stored in the image repository. Since the image files are large, often GigaBytes in size, transfer of the file from the repository to a compute node running the hypervisor can take time in the order of minutes. In addition to it, booting an image file can be a time consuming process if several applications are pre-installed. Use of caching to pre-fetch items that may be requested in future is known to reduce service latency. In order to overcome the delays in transfer and booting time, we prepare a VM a priori, and save it in a standby state in a "cache" space collocated with the compute nodes. On receiving a matching request, the VM from the cache is instantly served to the user, thereby reducing service time. In this paper, we compare multiple approaches for pre-provisioning and evaluate their benefits. Based on usage data collected from an enterprise cloud, and through simulation, we show that a reduction of 60% in service time is achievable.