Technical visions of PrEstoCloud

The PrEstoCloud solution is an innovative dynamic platform for proactive management of cloud-based resources, reaching the extreme edge of the network for efficient real-time Big Data processing frameworks. PrEstoCloud covers the self-adaptation to real-time changes in the execution environment, and cope with dynamics in velocity and variety.
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Technical challenges addressed by PrEstoCloud

Technical challenges addressed by PrEstoCloud are as follows:

  • Allow multi-cloud deployments and provide multi-cloud connectivity – For the deployment of data intensive applications to multiple clouds, public or private.
  • Extend the deployment and networking capabilities to the extreme edge of the network – For achieving efficient processing of the data produced at the edge.

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Face recognition in the mobile journalism application

Video Analytics microservice is a part of the Media Use case. It opens new opportunities for mobile journalism because it enables automatic tagging of video streams recorded by freelancers. Video Analytics microservice work is closely related to the image classification problem since we are looking for a particular person among all available video streams.
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MultiMedia Hub as a Part of LiveU Solution for PrEstoCloud Media Use Case

LiveU’s technology enables live, wireless video transmission from any location around the world with easy-to-use professional equipment. LiveU offers a complete range of devices for live, mobile video transmission anytime, anywhere. To manage video streams coming from these devices, LiveU developed software platform which includes MultiMedia Hub (MMH) as its core part. MMH is the software component that reconstructs multiple incoming LiveU streams.
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Smart surveillance application fragmentation: A PrEstoCloud oriented approach

Surveillance systems that capture video and audio in enterprise facilities and public places produce massive amounts of data while operating at a 24/7 mode. There is an increasing need to process, on the fly, such huge video and audio data streams to enable a quick summary of “interesting” events that are happening during a specified time frame in a particular location. Through PrEstoCloud Project, ADITESS aims to enable a novel and adaptive architecture that builds on top of a distributed computing paradigm and is ideal for smart surveillance systems that can utilize resources at cloud, fog and edge.
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Security in PrEstoCloud: Protecting resources in cloud and edge deployments

In this article we present the work performed under the first development period of the PrEstoCloud framework as far as security aspects are concerned. PrEstoCloud aims to deliver a framework which allows the deployment of complex applications on top of diverse computational resources which span from data center resources to edge resources. For such an operational environment with diverse resource types it is important to provide proper mechanisms that guarantee a certain level of security on multiple layers of the architecture. The security mechanisms providing this multi layered protection in PrEstoCloud are the following: a) perimeter security, b) end-to-end encryption and c) adoption of TPM based trusted computing.
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Towards Monitoring Applications in a Multi-Cloud Environment

Modern applications, as targeted in the PrEstoCloud project, necessitate geographically-distributed components over several data centers (DCs). Typical examples include stream/batch processing of geo-distributed data, or the redirection of clients to the optimal data replica.
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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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