Effect of Ultra-Short Pulse Signals on Information System Survivability
Here, the problems dealt with a survivability simulation of information systems under destabilizing electromagnetic effect have been considered. Proposed was the graph-analytic model of the information system and the electromagnetic surrounding, which presumes its structure evolution by reconfigurin...
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Радіоастрономічний інститут НАН України
2002
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| Zitieren: | Effect of Ultra-Short Pulse Signals on Information System Survivability / A.A. Serkov // Радиофизика и радиоастрономия. — 2002. — Т. 7, № 4. — С. 449-450. — англ. |
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irk-123456789-1223572017-07-03T03:03:14Z Effect of Ultra-Short Pulse Signals on Information System Survivability Serkov, A.A. Here, the problems dealt with a survivability simulation of information systems under destabilizing electromagnetic effect have been considered. Proposed was the graph-analytic model of the information system and the electromagnetic surrounding, which presumes its structure evolution by reconfiguring links between its parts. A model complexity evaluation was carried out taking into account a cardinal number and an entropy. Such an evaluation made it possible to allow for a variety of component parts included into the system. The quantitative measure of model complexity has been obtained. It allowed us to evaluate a level of complexity of information systems in the course of their reconfiguration or degradation as well as to develop methods for making the system simpler and at the same time keeping safe their most essential features and characteristics. Рассматривается задача моделирования живучести информационных систем под дестабилизирующим электромагнитным воздействием. Предложена графоаналитическая модель информационной системы и электромагнитного окружения, которая предполагает изменение структуры модели путем переконфигурирования связей между ее частями. Оценка сложности модели была произведена с учетом кардинального числа и энтропии. Подобная оценка позволяет принять во внимание разнообразие составных частей, включенных в систему. Получена количественная мера сложности модели. Это позволяет оценивать уровень сложности информационной системы в ходе ее переконфигурирования или деградации, а также развивать методы упрощения системы, сохраняя при этом наиболее существенные ее свойства и характеристики. Розглянуто задачу моделювання живучості інформаційних систем під дестабілізуючим електромагнітним впливом. Запропоновано графо-аналітичну модель інформаційної системи та електромагнітного оточення, яка припускає зміну її структури шляхом переконфігурування зв’язків між її частинами. Оцінка складності моделі була проведена з урахуванням кардинального числа та ентропії. Така оцінка дозволяє прийняти до уваги різноманітність складових частин, що включені до системи. Отримано кількісну міру складності моделі. Це дозволяє оцінювати рівень складності інформаційної системи у ході її переконфігурування або деградації, а також розвивати методи спрощення системи, зберігаючи при цьому найбільш суттєві її властивості та характеристики. 2002 Article Effect of Ultra-Short Pulse Signals on Information System Survivability / A.A. Serkov // Радиофизика и радиоастрономия. — 2002. — Т. 7, № 4. — С. 449-450. — англ. 1027-9636 http://dspace.nbuv.gov.ua/handle/123456789/122357 en Радиофизика и радиоастрономия Радіоастрономічний інститут НАН України |
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Here, the problems dealt with a survivability simulation of information systems under destabilizing electromagnetic effect have been considered. Proposed was the graph-analytic model of the information system and the electromagnetic surrounding, which presumes its structure evolution by reconfiguring links between its parts. A model complexity evaluation was carried out taking into account a cardinal number and an entropy. Such an evaluation made it possible to allow for a variety of component parts included into the system. The quantitative measure of model complexity has been obtained. It allowed us to evaluate a level of complexity of information systems in the course of their reconfiguration or degradation as well as to develop methods for making the system simpler and at the same time keeping safe their most essential features and characteristics. |
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Serkov, A.A. |
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Serkov, A.A. Effect of Ultra-Short Pulse Signals on Information System Survivability Радиофизика и радиоастрономия |
| author_facet |
Serkov, A.A. |
| author_sort |
Serkov, A.A. |
| title |
Effect of Ultra-Short Pulse Signals on Information System Survivability |
| title_short |
Effect of Ultra-Short Pulse Signals on Information System Survivability |
| title_full |
Effect of Ultra-Short Pulse Signals on Information System Survivability |
| title_fullStr |
Effect of Ultra-Short Pulse Signals on Information System Survivability |
| title_full_unstemmed |
Effect of Ultra-Short Pulse Signals on Information System Survivability |
| title_sort |
effect of ultra-short pulse signals on information system survivability |
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Радіоастрономічний інститут НАН України |
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2002 |
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http://dspace.nbuv.gov.ua/handle/123456789/122357 |
| citation_txt |
Effect of Ultra-Short Pulse Signals on Information System Survivability / A.A. Serkov // Радиофизика и радиоастрономия. — 2002. — Т. 7, № 4. — С. 449-450. — англ. |
| series |
Радиофизика и радиоастрономия |
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1837116248291278848 |
| fulltext |
Radio Physics and Radio Astronomy, 2002, v. 7, No. 4, pp. 449-450
EFFECT OF ULTRA-SHORT PULSE SIGNALS ON
INFORMATION SYSTEM SURVIVABILITY
A.A. Serkov
Department “Information Systems” National Technical University “KPI”
21 Frunze st., Kharkiv, Ukraine
E-mail: saa@kpi.kharkov.ua
Here, the problems dealt with a survivability simulation of information systems under destabilizing elec-
tromagnetic effect have been considered. Proposed was the graph-analytic model of the information system and
the electromagnetic surrounding, which presumes its structure evolution by reconfiguring links between its parts.
A model complexity evaluation was carried out taking into account a cardinal number and an entropy. Such an
evaluation made it possible to allow for a variety of component parts included into the system. The quantitative
measure of model complexity has been obtained. It allowed us to evaluate a level of complexity of information
systems in the course of their reconfiguration or degradation as well as to develop methods for making the sys-
tem simpler and at the same time keeping safe their most essential features and characteristics.
A wide radiation spectrum reducing the stable band
operation of information system to a high degree is a
distinctive feature of high-power ultra-short pulse sig-
nals. Failure to maintain working capacity of such a
system often leads even if not to disastrous effects,
causes substantial economic losses. So, to provide effec-
tive operation of the system, it should be endowed with
certain survivability feature. Survivability of an infor-
mation system therewith implies a system feature which
is capable of compensating detrimental effects of inter-
nal and external actions on its proper operation, either
totally or partially, by using a structural organization
and an operative algorithm.
Hence, the system operating in real-scale time and
featuring survivability should be capable of localizing
failures of functional elements caused by their insuffi-
cient reliability and an ill environmental attack in case
the system functions in conditions different from speci-
fied. In doing so, the system should be capable of
changing its properties and characteristics to neutralize
effects of external actions as well as to influence on an
environment in an active manner for decreasing the ill
environmental attack to the system. At the same time
the system should provide a gradual degradation of
quality parameters of the system under operation with
invalid functional elements progressively added.
Survivability of information system can be pro-
vided by introduction therein different redundancy types
relative to a minimum configuration which is necessary
for the system operation.
It is obvious therewith that the information systems
are of survivability not only to external actions but to
internal ones either. The latter is dictated by insufficient
reliability of functional components and structure and
algorithm features of system operation. At the same time
the information system that displays the survival capabil-
ity should reveal the faulty functional components and
localize their failure effects in the system before it proves
to be in faulty state due to component defects.
The systems, which are best suited to achieving the
goal comprise as a part thereof functional diagnostic
means. In this case, there is no need to have time redun-
dancy and diagnostic software connected with interrup-
tion procedure for entry of testing commands and analy-
sis of results, i.e. when a system directly realizes the
operative algorithm prescribed to it. Irredundant infor-
mation systems contain a minimum apparatus needed
for the up system to perform the prescribed functions.
At the same time dynamic redundancy systems assume
that the apparatus being in a backup state is put into
operation only if it is necessary to replace the parts of
the system under operation in case they give rise to a
malfunction.
Accordingly, it is always possible to change both
the number of devices included in the system and the
links between them.
To evaluate such a change in the system complex-
ity level in its reconfiguring and taking decisions for a
transfer from one complexity level to another (evolution
of the system), it is necessary to have a complexity
quantitative criterion both for the system and for the
model reflecting the system adequately as a whole.
Thus, determination of complexity level is an important
and pressing problem without solving thereof it is im-
possible to elaborate the system reconfiguration meth-
ods for the aim of increasing its survivability and keep-
ing most essential features and characteristics.
Irrespective of a system type the complexity
should be proportionate to the scope of information
required for description of this system. One of the de-
scription methods reduces to evaluation of the number
of component the system involves and variety of inter-
connections there between. At the same time the models
representing survivability aspects of information system
can be best shown as graphic analytic multiple struc-
tures wherein nodes are the system elements and ribs
map a variety of connections there between. At that, the
A.A. Serkov
450 Radio Physics and Radio Astronomy, 2002, v. 7, No. 4
challenge formally arises of evaluating the graph com-
plexity. So, one should find the function:
( ), , , ,C f n t m k p= , (1)
where
n – is a number of graph nodes;
t – is a type number of graph nodes;
m – is a number of ribs;
ϕ – is a number of rib types;
p – is a number of different graph degrees of vertexes.
This function should meet a set of conditions. One
of the conditions is that the range of function values
should coincide with a set of nonnegative numbers. At
the same time the function should increase monotoni-
cally depending on a number of nodes, ribs and their
type number. At that, one should consider that one undi-
rected edge is equal to any two directed edges. Besides,
the function should have a set variety measure of
information.
If we abstract from quality of component elements,
complexity C is proposed to measure by the number of
its elements n and the element variety to take into ac-
count by the entropy formula used in statistical theory of
information. In doing so, it is assumed that probability
ip of occurrence the thi element is determined by the
proportion:
/ip n nµ= ,
where nµ is a number of elements of the µ – type,
which thi element is related to. Based on it one pro-
poses the following quantitative measure of the graph
complexity:
( ) ( )2
1
1 / log /
t
C n n n n nµ µ
µ=
= − ⋅
∑ , (2)
At that the following conditions should be met:
0 0 ;n C= ⇒ =
( ) ( )2
1
0
1 / log / ;
0 1
t
m
C n n n n n
m t C n
µ µ
µ=
= ⇒
= −
= ∧ = ⇒ =
∑ (3)
With the assumptions taken in view, the quantita-
tive measure of complexity of system (2) takes the fol-
lowing form:
( )1 t k
n m nC n H H Hϕ= − − − , (4)
where
( ) ( )21
/ log /tt
nH n n n nµ µµ== ⋅∑ – diversity
entropy measure of the graph node names;
( ) ( )21
/ log /mH m m m mϕϕ
β ββ== ⋅∑ – diversity
entropy me measure of the graph rib names;
( ) ( )21
/ log /tt
nH n n n nµ µµ== ⋅∑ – diversity
entropy measure of the graph degree of vortexes.
Here nµ is a number of nodes of one name; mβ is
a number of one type ribs; nλ is a number of nodes of
one degree.
The data analysis obtained as a result of the ex-
perimental approbation of the criterion allows us to con-
clude that the proposed quantitative complexity criterion
of the system graph model can be used both for the
complexity evaluation of system external operation
when one takes into account the number and diversity of
the system links with environment objects and for com-
parison of systems deteriorated (evolution takes place)
due to effect of ultra-short pulse signals.
ВОЗДЕЙСТВИЕ УЛЬТРАКОРОТКИХ
ИМПУЛЬСНЫХ СИГНАЛОВ НА
ЖИВУЧЕСТЬ ИНФОРМАЦИОННЫХ
СИСТЕМ
А.А. Серков
Рассматривается задача моделирования живуче-
сти информационных систем под дестабилизирующим
электромагнитным воздействием. Предложена графо-
аналитическая модель информационной системы и
электромагнитного окружения, которая предполагает
изменение структуры модели путем переконфигуриро-
вания связей между ее частями. Оценка сложности
модели была произведена с учетом кардинального чис-
ла и энтропии. Подобная оценка позволяет принять во
внимание разнообразие составных частей, включенных
в систему. Получена количественная мера сложности
модели. Это позволяет оценивать уровень сложности
информационной системы в ходе ее переконфигуриро-
вания или деградации, а также развивать методы уп-
рощения системы, сохраняя при этом наиболее суще-
ственные ее свойства и характеристики.
ВПЛИВ УЛЬТРАКОРОТКИХ
ІМПУЛЬСНИХ СИГНАЛІВ НА
ЖИВУЧІСТЬ ІНФОРМАЦІЙНИХ
СИСТЕМ
О.А. Серков
Розглянуто задачу моделювання живучості інфо-
рмаційних систем під дестабілізуючим електромагніт-
ним впливом. Запропоновано графо-аналітичну модель
інформаційної системи та електромагнітного оточення,
яка припускає зміну її структури шляхом переконфігу-
рування зв’язків між її частинами. Оцінка складності
моделі була проведена з урахуванням кардинального
числа та ентропії. Така оцінка дозволяє прийняти до
уваги різноманітність складових частин, що включені
до системи. Отримано кількісну міру складності моде-
лі. Це дозволяє оцінювати рівень складності інформа-
ційної системи у ході її переконфігурування або дегра-
дації, а також розвивати методи спрощення системи,
зберігаючи при цьому найбільш суттєві її властивості
та характеристики.
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