Use Case Integration of the Previous Version

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This software was built using the experience drawn from the following cases. The main design principle of this new version is to keep the software as simple as possible in order to provide a common skeleton reusable across many applications.


The Compact Muon Solenoid experiment

In the Compact Muon Solenoid (CMS) Data Acquisition (DAQ), the IE is the master controller when the experiment is acquiring data. Approximately 2*10^7 electronic devices need to be accessed and controlled by about 10^4 different machines scattered over a high-bandwidth network. The IE instructs each subpart of this experiment to act according to the specific needs of a data collection session. The main functions of the IE in this case are:

  • to control and monitor the entire instrument, ensuring the correct and proper operation of the CMS experiment.
  • to control and monitor the DAQ system.
  • to provide user interfaces and allow users to access the system from anywhere in the world.

The Intrusion Detection System

One of the main challenges in the security management of large high-speed networks is the detection of suspicious anomalies in network traffic patterns due to Distributed Denial of Service (DDoS) attacks or worm propagation. In the Intrusion Detection System, anomaly sensors measure various network elements linked to grid-controlled Instrument Managers within a real-time domain. The IE problem solver provides algorithms aimed at fusing the collected knowledge to analyse individual domain-state reports, originating from heterogeneous sensors, to deduce a global view of security incidents and so detect Distributed Denial of Service attacks.

The Power Grid

In electrical utility networks (or power grids) , the introduction of a very large number of ‘embedded’ power generators, often using renewable energy sources, creates a severe challenge for utility companies. In addition, power systems involve many geographically distributed participants: generator owners, transmission network operators, load managers, energy-market makers, supply companies, and so on. The IE technology allows the generators to participate in a virtual organisation, and consequently to be monitored and scheduled in a cost-effective manner.

The Synchrotron Radiation Storage Ring

In the Elettra Synchrotron Radiation Storage Ring, the IEs control and monitor many instruments (mainly sensors). The rate of incoming control and monitoring data is different from the previous use cases; it is smaller than the data rate in the CMS scenario, yet, since it resides at a critical point of alerting against major catastrophes, it imposes high requirements on response times for alerts at the human-machine interface level.

The IMAA Sensor Networks

Operating since 2003, the Institute of Methodologies for Environmental Analysis (IMAA) has installed a network of sensors devoted to providing real-time information on several meteorological and physical-chemical parameters of soil and subsoil, useful for describing landslide dynamics and possibly for detecting warning conditions in a timely fashion. Monitoring is done with a multichannel data-logger on the monitored side to collect/aggregate information coming from different sensors, both passive and active. Different sensors are wired to a data-logger, while this device is remotely controlled via a wireless network. The IE virtualises the access to the sensors controlling multiple DAQ devices, allowing grid access to the instruments.

The Advanced Gamma Tracking Array experiment

AGATA the Advanced Gamma Tracking Array, is a 4π array of segmented coaxial detectors. The design consists of a geodesic tiling of a sphere with 12 regular pentagons and 180 hexagons. Sensors, which are front-end electronic devices, are linked to the detector to dispatch the just-read information to the event-building farm that will merge it into physical events. The IE controls every single subcomponent such as PSA farms, event builders, tracking farms, and data servers of this complex distributed application.

The Device Farm

A set of telecommunications measurement instruments of various categories (signal generators, signal analysers, channel emulators), interconnected via programmable switching matrices, are accessed and remotely controlled as WS, and they are integrated in the IE architectural framework. The concept of the ‘virtual instrument’ allows remote control and visualisation of the results of the measurements carried out by an instrument. In most cases, it also allows the execution of the functions of more instruments found in the laboratory.

Meteorology Systems

The meteorological application architecture consists of the Skiron/Eta weather forecasting system. Its goal is to predict and analyse hazardous weather events. A HELLASGRID cluster at IASA is currently used as a test-bed for the model configuration and execution under the IE environment. Further developments of the model algorithms and operation scripts have been prepared in order to optimise the model utilisation through the IE components. The system operates daily in deterministic mode. The stochastic mode is under development, although a beta version is currently being tested. The normal operation of the computational model runs in a deterministic fashion, covering the entire Mediterranean region. An emergency condition is assumed if a hazardous weather event is detected in the computational domain from the current operational cycle. In this case, the system can be switched to the stochastic mode instead of the normal deterministic execution.

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