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Video transcoding is the process of converting a video to the format supported by the viewer's device. Video transcoding requires a huge storage and computational resources, thus, many video stream providers choose to carry it out on the cloud. Video streaming providers generally need to prepare several formats of the same video (termed pre-transcoding) and stream the appropriate format to the viewer...
The recent rapid growth in Internet speeds and file storage requirements has made cloud storage an appealing option on both a personal and enterprise level. Despite the many benefits offered by cloud storage, many potential users with sensitive data refrain from fully utilizing this service due to valid concerns about information privacy. An established solution to this concern is to perform encryption...
Live streaming of video contents over the Internet generally requires conversion (i.e.,transcoding) of the video contents based on the characteristics of viewers' devices (e.g.,spatial resolution, network bandwidth, and supported codec). Due to the complexity of video transcoding process, live streaming service providers are becoming reliant on cloud services (e.g.,Amazon AWS1). With the scalable...
Video streams, either in form of on-demand streaming or live streaming, usually have to be converted (i.e., transcoded) based on the characteristics (e.g., spatial resolution) of clients' devices. Transcoding is a computationally expensive operation, therefore, streaming service providers currently store numerous transcoded versions of the same video to serve different types of client devices. However,...
Video streams, either in form of on-demand streaming or live streaming, usually have to be converted (i.e., transcoded) based on the characteristics of clients' devices (e.g., spatial resolution, network bandwidth, and supported formats). Transcoding is a computationally expensive and time-consuming operation, therefore, streaming service providers currently store numerous transcoded versions of the...
Accurate flow cytometry analyses for disease diagnosis purposes requires powerful computational and storage resources that are rarely available in clinical settings. The emerging high-performance cloud computing technologies could potentially address the above-mentioned scalability challenge, however, potentially untrusted cloud infrastructures increases the security and privacy concerns significantly...
Clouds are becoming prevalent service providers because of their low upfront costs, rapid application deployment, and high scalability. Many users outsource their sensitive data and services to cloud providers. Users frequently access these sensitive services through devices and connections that are vulnerable to thieving and eavesdropping. Therefore, users are desperate of robust security measures...
Capabilities for trustworthy cloud-based computing and data storage require usable, secure and efficient solutions which allow clients to remotely store and process their data in the cloud. In this paper, we present RESeED, a tool which provides user-transparent and cloud-agnostic search over encrypted data using regular expressions without requiring cloud providers to make changes to their existing...
We present Reseed, a tool that provides user-transparent and Cloud-agnostic regular expression search over encrypted data without requiring trust in the Cloud, or changes to Cloud infrastructure. Upon receiving a search query, Reseed translates it to a finite automata and analyzes efficient and secure representations of the data before asking the Cloud to download the matching encrypted files. We...
Energy efficiency is one of the main challengesthat datacenters are facing nowadays. A considerable portion ofthe consumed energy in these environments is wasted becauseof idling resources. To avoid wastage, offering services withvariety of SLAs (with different prices and priorities) is acommon practice. The question we investigate in this research ishow the energy consumption of a datacenter that...
Many applications in federated Grids have quality-of-service (QoS) constraints such as deadline. Admission control mechanisms assure QoS constraints of the applications by limiting the number of user requests accepted by a resource provider. However, in order to maximize their profit, resource owners are interested in accepting as many requests as possible. In these circumstances, the question that...
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