Search

There had been significant research on background mosaic or sprite generation in the past. In some application domains such as surveillance, the complete view of an object might be of interest rather than the background scene. In this paper, we present object mosaicking for reconstruction of a moving object from its partial views due to limited view or object occlusion. Object mosaicking may play important role in identification and tracking of objects and face recognition. Our algorithm has three steps: automatic rectangular boundary detection, elimination of static temporal texture, and application of mosaic generation algorithms with varying blending methods. We have applied our object mosaicking on three sets of video objects and obtained promising results for object mosaicking.

We describe the design and implementation of Cells, a novel multi-tenanted virtual infrastructure service. Cells has the unique property of being self-hosting: it operates its own management system within one of the tenant virtual infrastructures that it manages and therefore benefits from the same security, flexibility and scalability as other tenant services. Cells is also differentiated by its declarative interface for infrastructure configuration, and its fine-grained control of network and storage connections within and between tenant infrastructures.

In this paper, we describe an architecture for high-speed storage nodes intended for supporting cloud-based storage I/O intensive applications such as file servers, backup servers and databases. The nodes can host multiple virtual machines each having direct access to a storage array via Single Route I/O Virtualization (SR-IOV). This is done in a way which does not compromise security. We demonstrate that SR-IOV imposes negligible overhead for storage I/O and provides the hosted virtual machines with four times the storage I/O bandwidth than is available from the same hardware when I/O is redirected through the hyper visor. We describe how the storage nodes are incorporated into a heterogeneous Infrastructure as a Service (IaaS) consisting of mixed storage and compute nodes.

Utility computing achieves efficiencies by dynamically reallocating shared resources between services operating on virtual clusters. These efficiencies can be hard to realize for data intensive applications; newly allocated nodes must be populated with a large amount of data which impedes rapid node reallocation. We describe a data management architecture that uses disk caches on each node to reduce data copying and speed up node reallocation for data intensive applications. Cache consistency management is simplified by extensive use of copy-on-write techniques. A data-driven scheme is then used to select nodes for reallocation between virtual clusters based on the amount of relevant cached data. These nodes are identified using a novel technique of statistically sampling the contents of caches. We demonstrate the benefits of this architecture using our implementation of an efficient block level caching and copy-on-write target for the Linux Device-mapper framework.