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  • 7 months 5 days ago | cite-admin

    On 22 November 2017, 12:00pm CET BlueBRIDGE organised a webinar on "New Generation Tools for Aquaculture". The webinar focused on the BlueBRIDGE tools that aquaculture producers can use to estimate the performance of their production exploiting state of the art Machine Learning methods based on the real historical production data. Over 50 participants from around Europe attended the webinar.[[{"fid":"364","view_mode":"default","fields":{"format":"default","field_file_image_alt_text[und][0][value]":"Bluebridge webinar","field_file_image_title_text[und][0][value]":"Bluebridge webinar","external_url":""},"link_text":null,"type":"media","field_deltas":{"4":{"format":"default","field_file_image_alt_text[und][0][value]":"Bluebridge webinar","field_file_image_title_text[und][0][value]":"Bluebridge webinar","external_url":""}},"attributes":{"alt":"Bluebridge webinar","title":"Bluebridge webinar","height":1728,"width":3000,"style":"height: 674px; width: 1170px;","class":"media-element file-default","data-delta":"4"}}]]Webinar descriptionAquaculture is the fastest growing animal food production sector in the world with continuously and rapid increase global production. However, the environment in which the aquaculture companies operate is highly competitive with limited margin for profit. All aquaculture producers have to face specific challenges concerning the improvement of the performance of their companies in terms of cost, feed conversion, growth rate and mortality. Simultaneously, their decisions should be sustainable and environmental friendly. Small mistakes can make the difference from profit to loss. Using the services provided by BlueBRIDGE, aquafarmers can estimate the performance of their production exploiting state of the art Machine Learning methods based on the real historical production data. Furthermore, they are able to make accurate production plans, future investment plans by exploiting the geoanalytics platform and techno-economic analysis combining production, financial and environmental data. In this way, they can make correct and timely decisions strengthen their aquaculture's position against competition.The webinar gave an overview of the BlueBRIDGE services supporting aquaculture.Webinar InformationDuration: 1 hourStart date: 22nd November 2017Start time: 12:00pm CETTimezone: Central European Time (CET)About the Speakers[[{"fid":"365","view_mode":"default","fields":{"format":"default","field_file_image_alt_text[und][0][value]":"gerasimos_antzoulatos","field_file_image_title_text[und][0][value]":"gerasimos_antzoulatos","external_url":""},"link_text":null,"type":"media","field_deltas":{"1":{"format":"default","field_file_image_alt_text[und][0][value]":"gerasimos_antzoulatos","field_file_image_title_text[und][0][value]":"gerasimos_antzoulatos","external_url":""}},"attributes":{"alt":"gerasimos_antzoulatos","title":"gerasimos_antzoulatos","height":280,"width":227,"style":"width: 100px; height: 123px; float: left;","class":"media-element file-default","data-delta":"1"}}]]Gerasimos S. Antzoulatos is a Data Analyst at I2S. Gerasimos holds a Degree in Mathematics and a M.Sc. Degree in “Computer Mathematics and Decision Making” from University of Patras. His research interests include Computational Intelligence methods and their application to Data Mining and Knowledge Discovery, Business Intelligence and Predictive Analytics. He is participating in the BlueBridge project on behalf of the I2S S.A. as a researcher, focusing on the development of Machine Learning prediction models for evaluation the aquaculture’s performance. In addition, he supports aquafarmers to benchmark and decision-making processes using blueBRIDGE services.  [[{"fid":"366","view_mode":"default","fields":{"format":"default","field_file_image_alt_text[und][0][value]":"charalampos_dimitrakopoulos","field_file_image_title_text[und][0][value]":"charalampos_dimitrakopoulos","external_url":""},"link_text":null,"type":"media","field_deltas":{"2":{"format":"default","field_file_image_alt_text[und][0][value]":"charalampos_dimitrakopoulos","field_file_image_title_text[und][0][value]":"charalampos_dimitrakopoulos","external_url":""}},"attributes":{"alt":"charalampos_dimitrakopoulos","title":"charalampos_dimitrakopoulos","height":200,"width":211,"style":"width: 100px; height: 95px; float: left;","class":"media-element file-default","data-delta":"2"}}]]Charalampos Dimitrakopoulos is an Information Technology Consultant at CITE. He has been actively involved in the BlueBRIDGE project as a researcher and reporter on the implementation of a techno-economical tool for aquaculture management. Currently studying for his Master 's Degree focused in Business Administration and Management from Athens University of Economics and Business . Holding a Bachelor from the Department of Mathematics from University of Patras and a Master of Science from the Department of Banking and Financial Management from University of Piraeus.  [[{"fid":"367","view_mode":"default","fields":{"format":"default","field_file_image_alt_text[und][0][value]":"giota_koltsida","field_file_image_title_text[und][0][value]":"giota_koltsida","external_url":""},"link_text":null,"type":"media","field_deltas":{"3":{"format":"default","field_file_image_alt_text[und][0][value]":"giota_koltsida","field_file_image_title_text[und][0][value]":"giota_koltsida","external_url":""}},"attributes":{"alt":"giota_koltsida","title":"giota_koltsida","height":202,"width":205,"style":"width: 100px; height: 99px; float: left;","class":"media-element file-default","data-delta":"3"}}]]Panagiota Koltsida is a computer science researcher and software engineer at the university of Athens (NKUA) and ATHENA Research Center. She has received both her BSc. (2006) and MSc (2009) from the department of Informatics and Telecommunications at the University of Athens with more than 10 years of experience. Her research interests include Information Retrieval systems, Web Information Systems and Data and Metadata Management. She is participating in the BlueBridge project on behalf of the University of Athens, focusing on the development of the Geospatial multi factor optimisation and alerting platform and the search framework
  • 2 years 3 months ago | cite-admin

    xWCPS (XPath Enabled WCPS), is a Query Language (QL) defined in the context of EarthServer 2 Project aiming to merge two widely adopted standards, namely XPath 2.0 because of its capabilities in XML (common metadata form) handling and WCPS's raster data processing abilities, into a new construct, which enables simultaneous processing of both coverage metadata and OGC coverage content. 
  • 5 years 3 months ago | cite-admin

    An interesting approach on how we conceptualize city maps.
  • Archived
    6 years 11 months ago | cite-admin

    Virtualisation brings a whole new set of tools to the toolbox of a modern IT infrastructure. In this text we briefly present our perception of virtualisation and a brief description techniques and technologies that CITE S.A. applies for virtualising IT infrastructures.Virtualisation Pros and ConsProsFlexibility: Ιnfrastructure can be reshaped without new hardwareEasier to manage on a per machine basis, as virtualised hardware tends to be uniform.Easier to migrate in new hardware as most physical resources are virtualised and fully hidden from the guest machine, while the benefits of increased performance are directly visible in the guest.Increased base OS compatibility, as older operating systems and applications can be hosted on modern and in principle incompatible hardware.Increased failure resilience as it is easier to backup / recover systems, move into new hardware, duplicate systems. Related features are offered directly by the virtualisation platform.Note: Different virtualisation techniques might reduce some of the aforementioned advantages of virtualisation, for the benefit of performance.ConsReduced performance: while performance drop can be negligible for CPU and memory operations, it can become substantial for I/O (disk, network, USB) depending on virtualisation techniques applied.Reduced advanced hardware compatibility at the guest OS: as resources are virtualised they become mostly invisible to the guest. Solutions that overcome or soften the effects of this do exist, such as USB sharing, paravirtualised drivers, specialised host drivers, etc.Virtualisation ConceptsGuest: The virtual machine that resides on a physical machine and a virtualisation technique. Host: The physical machine where virtualisation is applied.Paravirtualisation: A set of techniques that require that the guest operating system is directly or indirectly aware of the fact that it is a guest operating system. Modified kernels and drivers are some of the techniques applied.Full Virtualisation: A technique that requires no modifications of the guest system. Can be achieved with or without special hardware.Hardware Assisted Virtualisation: Virtualisation that depends on extended capacities of the hardware (like vt-x and vt-d).Virtualisation PlatformsIn what follows we present a brief summary of hardware virtualization solutions that we have expertise on.XenXEN is open source virtual machine monitor on top of which more guest domains (virtual machines) are hosted. The XEN hypervisor is the lowest layer of a XEN server. Through this layer all virtual machines access the hardware as it is only the hypervisor that has direct access to the physical system resources. The XEN hypervisor is installed as the first guest domain (Dom0) and it is a properly modified version of a UNIX-type operating system. After installing the hypervisor we have a XEN system on which we can create many unprivileged guest domains. Those unprivileged guest domains are called Domain-Us or DomUs. Dom0 provides the tools for creating resources and managing those DomUs. XEN hypervisor supports two types of DomUs: paravirtualized and hardware virtual machines (HVMs). Regardless the virtualization type, every guest domain is isolated from the others and also none of the DomUs have direct access to the systems’ physical hardware. For using paravirtulization (or else software virtualization) technique we must use a modified UNIX-like operating system as a DomU. In that case the DomUs’ operating system is aware that is running on top of XEN hypervisor thus it is modified so that can communicate directly with it. When paravirtualization is emploied we do not need any special hardware-assisted virtualization technology (AMD-V, Intel VT). Such modified operating systems, to be used as paravirtualized DomUs, are available for several flavours of UNIX-like operating systems. In the case of Hardware Virtual Machines we are allowed to use any unmodified operating system. In this case the guest operating system is not aware that is running on a hypervisor therefore we need a hardware-assisted virtualization technology (AMD-V, Intel VT) along with a BIOS capable of enabling the CPU’s virtualization capabilities. HVMs operating system can be any UNIX-like or Windows operating system.Hyper-VHyper-V is a hypervisor-based virtualization solution offered from Microsoft Corporation. Hyper-V is integrated to Microsoft Windows Server 2008 (standard, enterprise, datacenter) and is also available as a standalone version of the Hyper-V role in Server 2008 called Microsoft® Hyper-V™ Server 2008. The architecture of Hyper-V is similar to that found in XEN. Here we also have a Hyper-V hypervisor at the lowest layer paired with a privileged Dom0 having direct access to system hardware. Hyper-V supports Hardware Virtual Machines as unprivileged guests and requires hardware-assisted virtualization technology (AMD-V, Intel VT). HVMs run isolated, not aware the Hyper-V’s exiastance. They have also no direct access to physical system hardware. Managing of virtual machines in case of using Microsoft Windows Server 2008 with Hyper-V role enabled is done through Windows Server 2008 and in case of using Microsoft® Hyper-V™ Server 2008 through shell or remotely. Operating systems available for HVMs include Windows and UNIX variations.VMwareVMware offers a range of virtualization products some of which runs as desktop applications and some standalone. VMware vSphere (commercial) and VMware vSphere Hypervisor (free) are enterprise-class virtualization solution. VMware vSphere Hypervisor is based on VMware ESXi. Unlike XEN and Hyper-V it uses hardware vendors’ drivers and a POSIX-like kernel developed by VMware which is called VMkernel and which fully manages the virtual server. Virtual machines run on top of the VMkernel. Supported virtualized operating systems are Windows, Unix-like, Netware and more.KVM (Kernel Based Virtual Machine)KVM (Kernel-based Virtual Machine) is an open source virtualization solution for Linux on x86 hardware. It requires hardware-assisted virtualization technology (AMD-V, Intel VT) and a BIOS capable to enable CPU virtualization. KVM instead of having a "bare metal," hypervisor uses linux kernel as hypevisor through a loadable kernel module, kvm.ko, and a processor specific module, kvm-intel.ko or kvm-amd.ko, depending on systems’ CPU. Also requires a modified version of QEMU to virtualize hardware resources. In KVM a virtual machine is implemented as a linux process. Supported guest operating systems include Windows, Unix-like, Netware and more.Disclaimer: The article expresses personal opinions of experts in CITE. As such it cannot be considered as a documented comparison or analysis of the aforementioned hypervisors and their characteristics.