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CHAPTER 1 CHARACTERIZATION OF DISTR
CHAPTER 1 CHARACTERIZATION OF DISTRIBUTED SYSTEMS
This script is based on the functionality provided by Apama [www.progress.com], a
commercial product in the financial world originally developed out of research carried out at the University of Cambridge. The script detects a complex temporal sequence based on the share prices of Microsoft, HP and a basket of other share prices, resulting in decisions to buy or sell particular shares.
This style of technology is increasingly being used in other areas of financial
systems including the monitoring of trading activity to manage risk (in particular,
tracking exposure), to ensure compliance with regulations and to monitor for patterns of
activity that might indicate fraudulent transactions. In such systems, events are typically
intercepted and passed through what is equivalent to a compliance and risk firewall
before being processed (see also the discussion of firewalls in Section 1.3.1 below).
This script is based on the functionality provided by Apama [www.progress.com], a
commercial product in the financial world originally developed out of research carried out at the University of Cambridge. The script detects a complex temporal sequence based on the share prices of Microsoft, HP and a basket of other share prices, resulting in decisions to buy or sell particular shares.
This style of technology is increasingly being used in other areas of financial
systems including the monitoring of trading activity to manage risk (in particular,
tracking exposure), to ensure compliance with regulations and to monitor for patterns of
activity that might indicate fraudulent transactions. In such systems, events are typically
intercepted and passed through what is equivalent to a compliance and risk firewall
before being processed (see also the discussion of firewalls in Section 1.3.1 below).
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CHAPTER 1 CHARACTERIZATION OF DISTRIBUTED SYSTEMSThis script is based on the functionality provided by Apama [www.progress.com], a commercial product in the financial world originally developed out of research carried out at the University of Cambridge. The script detects a complex temporal sequence based on the share prices of Microsoft, HP and a basket of other share prices, resulting in decisions to buy or sell particular shares. This style of technology is increasingly being used in other areas of financial systems including the monitoring of trading activity to manage risk (in particular, tracking exposure), to ensure compliance with regulations and to monitor for patterns of activity that might indicate fraudulent transactions. In such systems, events are typically intercepted and passed through what is equivalent to a compliance and risk firewall before being processed (see also the discussion of firewalls in Section 1.3.1 below).
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