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The data centers of cloud video surveillance (CVS) systems based on Hadoop have a couple of common problems such as large energy consumption, low power utilization, etc. Addressing to the issue of reducing energy consumption while guaranteeing quality of service, we propose an energy-aware workload balancing method for efficient data storage management in cloud video data centers. A dynamic adjusting...
Nowadays cloud computing is the most advanced paradigm promising to show the vision of computing applicability into reality. It provides a versatile and straightforward way to store and retrieve immense information left-out concern the hardware required. Cloud based Storage (CS) incorporates a resource manager, cluster head and server clusters. Inside the resource manager the client's request for...
Cloud video processing and streaming services has to be delivered under heterogeneous network and device environments. Scalable video coding and transcoding are required to serve heterogeneous users. As the task scheduling algorithm pre-configures a Hadoop MapReduce platform with the assumption of homogeneous node processing capability and task complexity, it cannot well accommodate the practical...
We have developed a prototype for a cost-aware, cloud-based content delivery network (CDN) suitable for a federated cloud scenario. The virtual CDN controller spawns and releases virtual caching proxies according to variations in user demand. A cost-based heuristic algorithm is used for selecting data centers where proxies are spawned. The functionality and performance of our virtual CDN prototype...
With the prevalence of personal computer devices and Internet, it has to provide scalable video coding to serve users under heterogeneous network environments. We proposed to develop a cloud-based video transcoding system, in which a hierarchical scheduling algorithm has been developed to speed up the process. The efficiency can be maintained at 98% and processing time can be reduced to 13% smaller.
Advances in computing hardware and novel multimedia applications have urged the development of handheld mobile devices such as smartphones and PDAs. Video content is increasingly consumed daily in mobile devices as well as in first response emergency services. With this significant increase of cloud-based video delivery, one of the challenges is how to efficiently transmit the bulky videos to resource-constrained...
In Multimedia network applications, adaptive mobile streaming empowers cloud-based real time transcoding. The researchers in media cloud propose a well-organized technique to split the video content into different frames. The technique is to carry out disseminated encoding to resolve the multimedia data conversion problem. Also, it introduces an energetic outgoing and an extrapolative bandwidth for...
With the development of cloud computing, datacenter already plays increasingly important role in improving the multimedia user Quality of Experience (QoE). The resource allocation strategy, namely the virtual machines (VMs) allocation strategy, is a major research direction for cloud computing technology. In this paper, we introduce the definition of near-client-datacenter for virtual machines, which...
Federation of geo-distributed cloud services is a trend in cloud computing which, by spanning multiple data centers at different geographical locations, can provide a cloud platform with much larger capacities. Such a geo-distributed cloud is ideal for supporting large-scale social media streaming applications (e.g., YouTube-like sites) with dynamic contents and demands, owing to its abundant on-demand...
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