MediaWise – Designing a Smart Media Cloud

2003

We present MSA (Media Services Architecture), a flexible, general architecture for requesting, configuring, and running services that operate on streaming audio and video as it flows through the network. MSA decomposes requested media services into modular processing components that may be distributed to servers throughout the network and which intercommunicate via standard streaming protocols. Use of standard protocols also affords seamless inter-operability between MSA and media content delivery networks. MSA manages media services by monitoring the networked servers and assigning service components to them in a manner that uses available computational and network resources efficiently. We describe some implemented example services to illustrate the concepts and benefits of the architecture.

International Journal of Innovative Research in Computer and Communication Engineering

The growth of usage of mobile phones is increasing in rapid increasing urban & rural population. People like to use most probably a smart phone rather than a simply mobile phone. As the demand of smart phones are increasing with the demands of features like a media player, GPS navigation, a digital camera, as well as features of laptop like Wi-Fi support, Browser support, and also having multiple processor core & gigabyte RAMs. With this peoples are like to use a portable TV on the move, which supports live videos, on-demand videos which we can call it as, user subscribed videos and that gives home like feel on the move. We proposed a Multiscreen Cloud Social TV Service, which provides a user, home like environment, just like sitting at home and enjoying by co-viewing Live videos, on-demand videos and commenting on that by text chat on the move from mobile phone. This service is more beneficial for those peoples who are separated geographically from their family as well as friends. The service uses both PaaS (Platform-as-a-Service) and IaaS (Infrastructure-as-a-Service) cloud services to offer the living-room experience of video watching to a group of different mobile users who can interact socially while sharing the video. To give guarantee of good streaming quality of videos, Virtual Machine (VM) is used in the IaaS cloud for every mobile user individually, which downloads the videos and social exchanges on behalf of the user. VM performs good stream transcoding that matches current connectivity quality of the mobile user. Social interactions among users, in terms of textual chat, and storage of data are handling in PaaS cloud. With this one more feature is supported by this service is, Session throwing. This is done from Big screen (Laptop) to Small screen (Mobile) and vice versa. So that, user can enjoys video watching on the move.

Why do media organizations look out for cloud storage? In short, the media industry as a whole is facing various challenges. Due to digital convergence there is more material, less time, and multiple channels to fill, while budgets get smaller. TV, video on demand, and mobile content have become big drivers in pushing a search for innovative storage solutions. In addition to that, the opportunity to work with raw data, which can be used for deeper analysis, mapping, visualization, and personalized services is another aspect of why there is a need for novel storage solutions, preferably in the cloud. The media industry could lower production costs and increase speed to market of time critical reporting. This book chapter provides an overview of how far VISION Cloud can provide novel concepts for these demands.

2014 International Conference on Cloud and Autonomic Computing, 2014

Digital media has been increasing very rapidly, resulting in cloud computing popularity gain. Cloud computing provides ease of management of large amount of data and resources. With a lot of devices communicating over the Internet and with the rapidly increasing user demands, solitary clouds have to communicate to other clouds to fulfill the demands and discover services elsewhere. This scenario is called inter-cloud computing or cloud federation. In this paper, we discuss the importance of inter-cloud computing and present its architecture. Inter-cloud computing also involves some issues, one of which is storage efficiency. We have evaluated some of the most noteworthy cloud storage services, namely: Dropbox, Amazon CloudDrive, GoogleDrive, Microsoft SkyDrive/OneDrive, Box, and SugarSync in terms of Quality of Experience (QoE), Quality of Service (QoS), and storage space efficiency. Discussion on the results shows the acceptability of these storage services and their shortcomings.

With the increasing growth of media cloud technologies, web service technologies, and smartphones equipped sensors, a number of collaborative media services are being built for ubiquitous user access. Currently, collaborative services are being used in several areas like healthcare, defense, education, and so forth. However, due to the challenge of providing such service to users in terms of computations, communications, processing, and storage, there is a growing need for an infrastructure to have on-demand access to a shared pool of configurable computing resources (e.g., networks, storages, servers, applications, and services). Cloud computing is such a paradigm or infrastructure to provide configurable platform to support the collaborative service. In this paper, we present the corresponding framework of collaborative media service for efficient collaboration between caregivers and healthcare professionals. The experimental results not only showed our solution is more efficient than the similar system but also proved that our solution can work well for web service-based collaborative environment.

2008

This paper provides an overview of MediaDART, a framework for building online services for distributing and sharing digital media. Inspired by the participative model of Web 2.0, MediaDART relies on a scalable and decentralized architecture that can grow with the contribution of users. The architecture is based on an arbitrary number of nodes interconnected through a p2p network implementing a distributed hash table (DHT). The DHT provides resource storage and parallel resource processing for operations of feature extraction, adaptation and composition. MediaDART adopts application-level multicast based on distribution trees for delivery in streaming and implements algorithms to dynamically replicate resources across the network. The framework allows content description through user-defined tags. Tools for personalized content retrieval based on recommendation algorithms and user profiling are included too. This paper also describes two prototype applications and outlines further work.

In today's world Media streaming applications have attracted a large number of users in the Internet. Use of bandwidth related applications, it is inefficient to provide streaming distribution with guaranteed QoS relying only on central resources at a media content provider. It offers an elastic infrastructure that media content providers for e.g. Video on Demand (VoD) providers use to obtain streaming related resources that would match the demand. The Media providers charge for the amount of resources allocated (reserved) in the cloud. Many existing cloud providers use a pricing model for the resources which are reserved which is based on non-linear time-discount tariffs for e.g., Amazon Cloud Front EC2. A pricing scheme offers discount rates depending non-linearly on the period of time during which the resources are reserved in the cloud. In this problem occurs is that how we can decide whether the right amount of resources are reserved in the cloud and also check the reservat...

EAI Endorsed Transactions on Cloud Systems, 2018

In this era of digital communication, and explosion of social media, users generate and share a lot of information most of which is audio visual content. This kind of multimedia content requires good amount of storage in the local device space as well at the network space. In the available parlance of multimedia cloud storage, when the content is streamed from the content server, the bit-stream is typically adapted depending on the available network bandwidth between the client and server session, for example by using Scalable Video Coding (SVC) technique. However, in case when the content is downloaded at the client for offline viewing, with say a resolution 'Low-Res-1', the multimedia clouds, do not offer additional mechanism to upgrade to a new resolution say 'High-Res-2', without downloading a new file version all over again. In this paper, we propose "MediaStratify" as a novel and optimal approach built on top of SVC to give a scalable solution for storing, sharing and upgrading the multimedia content for viewing offline. Based on the proposal, multimedia content will be stored as layers or 'stratified' and distributed over the cloud infrastructure. Through the devised protocol, the end node fetches the partial offsets (spatial, temporal or quality) and upgrades the files through reconstruction. Enterprise applications can utilize the scheme by installing the proposed novel combiner over the file transfer service, the solution can save network bandwidth and power consumption. The most important contribution is to bring down the Total Cost of Ownership (TCO) for any multimedia cloud or data center by reducing storage requirements by 50 ~ 74% over classical methods, yet achieve the goals of media hosting.

2011 31st International Conference on Distributed Computing Systems, 2011

Internet-based cloud computing is a new computing paradigm aiming to provide agile and scalable resource access in a utility-like fashion. Other than being an ideal platform for computation-intensive tasks, clouds are believed to be also suitable to support large-scale applications with periods of flash crowds by providin g elastic amounts of bandwidth and other resources on the fly. The fundamental question is how to configure the cloud utility to meet the highly dynamic demands of such applications at a modest cost. In this paper, we address this practical issue with solid theoretical analysis and efficient algorithm design using Video on Demand (VoD) as the example application. Having intensive bandwidth and storage demands in real time, VoD applications are purportedly ideal candidates to be supported on a cloud platform, where the on-demand resource supply of the cloud meets the dynamic demands of the VoD applications. We introduce a queueing network based model to characterize the viewing behaviors of users in a multichannel VoD application, and derive the server capacities needed to support smooth playback in the channels for two popular streaming models: client-server and P2P. We then propose a dynamic cloud resource provisioning algorithm which, using the derived capacities and instantaneous network statistics as inputs, can effectively support VoD streaming with low cloud utilization cost. Our analysis and algorithm design are verified and extensively evaluated using large-scale experiments under dynamic realistic settings on a home-built cloud platform.

International Journal for Research in Applied Science and Engineering Technology

INTRODUCTION The identity of multimedia needs to include two layers of meaning and according to the research four forms. Two layers of meaning: one is mainly use for sound, text, picture, and images in information and communication. Secondly, there are four layers of forms of interaction: image, sound, text and human computer interaction. Similarly, we should call it as four elements of multimedia. Multimedia can be used in many applications in a business. The multimedia technology along with communication technology has opened the door for information of global wok groups. Today the team members may be working anywhere and can work for various companies. Thus the work place will become global. In the future, multimedia companies will use cloud computing first, who started looking to move their storage requirements into cloud computing. The cost and the investment return for these kinds of services have accelerated the growth of cloud computing services market. By adopting cloud computing services to manage the STB, IPTV provides customers with services and applications which are not available in STB, and also provides applications that are more resource intensive than the latest STBs. Figure 1 shows the platform framework of cloud computing, according to a study by the International Data Group, 69% of businesses are already using cloud technology in one capacity or another, and 18% say they plan to implement cloud-computing solutions at some point. At the same time, Dell reports that companies that invest in big data, cloud, mobility, and security enjoy up to 53% faster revenue growth than their competitors. As this data shows, an increasing number of tech-savvy businesses and industry leaders are recognizing the many benefits of the cloud-computing trend. But more than that, they are using this technology to more efficiently run their organizations, better serve their customers, and dramatically increase their overall profit margins. Many operators started to invest in the concept of private cloud for rendering media services. They now need community cloud architecture to make use of these media market opportunities and can render services to a greater number of customers. Exposing media cloud capabilities does not require major investment. Using cloud computing services, this can be achieved cost effectively. An example is the Alcatel-Lucent Cloud Application Enabler.