Ivana Dusparic and Vinny Cahill., Autonomic management of large-scale critical infrastructures., Workshop on Hot Topics in Autonomic Computing, June, IEEE, 2008, 1-2
Critical Infrastructures include facilities, services and installations
essential for the functioning of a society and
economy. Such infrastructures are generally of a very large
scale spanning cities, whole countries, or even crossing international
borders. Examples of such Large-Scale Critical
Infrastructures (LSCI) are electricity, water and gas supply,
transportation, and health service . There are many aspects
to the management of LSCI, including security, fault
tolerance, availability, and reconfiguration. The particular
aspect of LSCI management with which we are concerned
and which we view as a grand challenges in autonomic
computing is optimization of their performance in changing
conditions. Not all circumstances in which these systems
will operate can be predicted so it is not possible to
fully define their behaviour at design time. Even for the
known operating conditions, with hundreds or thousands of
nodes, it is infeasible, if not impossible, to define correct
behaviour for all combinations of conditions on all nodes.
Critical infrastructures need to adapt to various changes in
load, both sudden ones and repeated load patterns. They
need to optimize their performance with respect to multiple,
often conflicting or highly dependent, policies with
different levels of priority (high, low), affecting different
parts of the systems (local, regional, global), either continuously,
or in certain cirumstances (sporadically). In our
work, Urban Traffic Control (UTC) is used as an exemplar
of a LSCI. A UTC systems consist of hundreds of dependent
nodes (traffic lights) that need to coordinate their behaviour
to deal with optimizing general traffic throughput, prioritizing
emergency vehicles and public transport, as well as
adapting to any surges of traffic in particular areas in case
of public events or accidents.
PUBLISHED In conjunction with the IEEE International Conference on Autonomic
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