Supporting Application Fragmentation in Fog Computing with TOSCA

The optimal execution of parts of cloud applications, so-called fragments, is the essence of PrEstoCloud. As mentioned in our previous post, the TOSCA language is used and extended, to express the deployment of application fragments, i.e., code methods, functions, classes, microservices, etc. How does PrEstoCloud support the deployment of application fragments and what are the configuration options?
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TOSCA: A standard from the cloud to the edge

The OASIS Topology and Orchestration Specification for Cloud Applications (TOSCA) is a standard created by the OASIS consortium to describe complex deployments, from cloud resources selection to final applications interactions and dependencies. The TOSCA specification allows DevOps and architects to define reusable components and topologies that can be easily ported across clouds and orchestrators. It is currently supported by big companies such as IBM, Microsoft, EMC and RedHat.
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Learning from Others

“@Ibidaas & @PrEstoCloud, our first steps toward long-lasting cooperation!!!” So I-BiDaas recently twittered on the net with full anticipation. What’s so special about this tweet?
In the PrEstoCloud team it is part of the daily business of our consortium to communicate, to acquire knowledge, to implement common ideas. Our aim is to jointly tackle the challenge that is of interest to all participants, namely finding this innovative solution that will address the challenge of cloud-based self-adaptive real-time Big Data processing, including mobile stream processing and will be demonstrated and assessed in several challenging, complementary and commercially-promising pilots.
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Feasibility constraints for edge resources which can be addressed by the PrEstoCloud solution

Edge nodes are resources which can process all the tasks instantly. However, they have relatively feasibility constraints when compared to the infrastructures in cloud-based datacentres. In scenarios of real-time data-intensive Big Data applications orchestrated upon edge computing frameworks, the following constraints are taken into account by the PrEstoCloud solution […]
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Advanced technologies prototyped by PrEstoCloud

PrEstoCloud tries to overcome different challenges associated with real-time Big Data processing systems such as addressing time-sensitive changes in the execution environment and performing the adaptation at run-time, which has been recently recognised by industry. This project creates a novel computing and management solution for efficient deployment and execution of data-intensive applications orchestrated upon edge computing frameworks.
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WebRTC in PrEstoCloud: the concept of video streaming application

WebRTC provides browsers and mobile applications with Real-Time Communications (RTC) capabilities via simple APIs, which in turn simplifies the development of rich, high-quality RTC applications for browsers, mobile platforms and IoT devices. According to Disruptive Analysis report on WebRTC market status and forecast, by the end of 2019 6.7 billion devices will support WebRTC with 2 billion active consumer users and 900 million business users.
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LiveU using PrEstoCloud technology

LiveU network topology consists of configurable clusters of broadcasting possibilities that enable reporters to have the flexibility to stream their video to range of broadcasters URL’s and SDI cards. Control path is centralized, well known and, therefore, exposed to cyber attacks. LiveU using PrEstoCloud technology is leading the practical. Basing on PrEstoCloud technology, LiveU will generate consolidated user-space rules to properly seal possible security leaks.
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Adaptive Edge and Fog Computing Paradigm for Wide Area Video and Audio Surveillance

Current Surveillance systems in enterprise facilities and public places produce massive amounts of video and audio content while operating at a 24/7 mode. Typically, video clips are stored as compressed video files corresponding to video for several hours. Due to the prohibitively high requirements of surveillance video and the need for continuous monitoring, currently closed-circuit television (CCTV) systems store video on local devices.
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Fog Deployment as part of PrEstoCloud

With the emerged need to extend cloud computing paradigm to more resources (especially in the last decade) the expression “fog computing” appeared although it does not have yet a commonly agreed definition. According to NIST, the fog computing is defined as “an horizontal, physical or virtual resource paradigm that resides between smart end-devices and traditional cloud or data centers.
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Innovative PrEstoCloud solutions for real-life challenges

While being a cutting-edge research project, dealing with difficult and fundamental computer science problems, the PrEstoCloud project aims to provide effective solutions for real-life challenges. Resolving these challenges will provide better security through video surveillance with our ADITESS partner, more efficient and secure good delivery through logistic with our CVS partner and citizen participation to medias with our LIV partner.
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