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Due to the small memory footprint and fast startup times offerred by container virtualization, made ever more popular by the Docker platform, containers are seeing rapid adoption as a foundational capability to build PaaS and SaaS clouds. For such container clouds, which are fundamentally different from VM clouds, various cloud management services need to be revisited. In this paper, we present our...
Linux containers present a lightweight solution to package applications into images and instantiate them in isolated environments. Such images may include vulnerabilities that can be exploited at runtime. A vulnerability scanning service can detect these vulnerabilities by periodically scanning the containers and their images for potential threats. When a threat is detected, an event may be generated...
A key attraction of virtual machines (VMs) is live migration - the ability to move their execution state across physical machines even as the VMs continue to run. Unfortunately, the traditional pre-copy and post-copy techniques are not agile in the face of resource pressures at the source host, since it takes a long time to transfer the memory state of a VM. Consequently, the performance suffers for...
The resource impoverished environment on mobile devices results in a poor experience for users browsing the World Wide Web. Proxy-based middleware that transform content on the fly to better suit the resource conditions on a user’s device provide a promising solution to this problem. A key challenge in such systems is deciding how to adapt content, especially when the same content has multiple uses...
Traditional metrics for live migration of virtual machines (VM) include total migration time, downtime, network overhead, and application degradation. In this paper, we introduce a new metric, "eviction time", defined as the time to evict the entire state of a VM from the source host. Eviction time determines how quickly the source host can be taken offline, or the freed resources re-purposed...
This paper presents some details on the Intuitive Network Applications (INA) project, which aims to monitor and analyze a user's behavior in a semiautomated fashion and utilize the learned information to provide personalized services to the user. An aspect of this framework is how user input can be used to direct the learning process. We discuss some scenarios that illustrate the use of the INA framework...
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