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Optimizing security dynamic scheduling method in cloud storage is significant for improving resource date throughput and storage space of a cloud storage system. The paper presents a self-adaptive layered sleep vision-based method for security dynamic scheduling in cloud storage. A decision-making tree model is used for feature classification of cloud storage resources scheduling, top-down analytical...
In this paper, we take a close look to understand the cloud-based file synchronization and collaboration systems. Using the popular Dropbox as a case study, our measurement reveals its cascaded computation and communication operations that are far more complicated than those in conventional file hosting. We show that this serial design is necessary for the cloud deployment, which effectively avoids...
With the rise of video surveillance applications for analyzing real-time and batching video data in large scales, traditional video processing systems are being challenged due to real-time, intelligence and fault-tolerance demand for networked high resolution and large-scale video processing. These challenges can be further exacerbated by the existing predicaments of multi-platform, multi-format,...
Pervasive cloud computing heavily depends on task migrations in order to mitigate resource scarceness in some cloud nodes, especially the light weight nodes. In order to make decisions on task migrations, a number of possibly conflicting objectives should be considered, such as less energy consumption, quick response, in order to find an optimal migration path and optimal configurations. In this paper,...
Intelligent video surveillance is a challenging issue due to complicated scenes. Based on empirical and experimental explorations, we propose a multi-person tracking-by-detection framework to achieve pedestrian counting at run time. This framework is integrated with a stream based cloud computing paradigm to improve tracking performance. We evaluated our approach which shows improved time performance...
Storage clouds, such as Amazon S3, are being widely used for web services and Internet applications. It has been observed that the delay for retrieving data from and placing data into the clouds is quite random, and exhibits weak correlations between different read/write requests. This inspires us to investigate a key problem: can we reduce the delay by transmitting data replications in parallel or...
The paper proposes the architecture of cloud service system of oil and gas exploration and production (CSSOOGEP). The system uses virtualization to pool infrastructure resource, logically unify, manage, and assign host, network or other resources. It takes advantage of service dynamic integration and other technologies to provide services package and registration, query, update, and on-demand integrated...
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