Integrated Performance Analysis of Computer Systems (IPACS). Benchmarks for Distributed Computer Systems

2005 ◽  
Vol 28 (3) ◽  
pp. 150-159 ◽  
Author(s):  
G. Falcone ◽  
H. Kredel ◽  
M. Krietemeyer ◽  
D. Merten ◽  
M. Merz ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Computer Systems ◽  
Integrated Performance ◽  
Distributed Computer Systems

Produção internacional sobre ciência orientada a dados: análise dos termos data science e e-science na scopus e na web of science

2017 ◽  
Vol 12 (1) ◽  
Author(s):  
Leilah Santiago Bufrem ◽  
Fábio Mascarenhas Silva ◽  
Natanael Vitor Sobral ◽  
Anna Elizabeth Galvão Coutinho Correia
Keyword(s):  
Big Data ◽  
Open Access ◽  
Grid Computing ◽  
Digital Library ◽  
Data Science ◽  
Web Of Science ◽  
Computer Systems ◽  
Distributed Computer Systems

Introdução: A atual configuração da dinâmica relativa à produção e àcomunicação científicas revela o protagonismo da Ciência Orientada a Dados,em concepção abrangente, representada principalmente por termos como “e-Science” e “Data Science”. Objetivos: Apresentar a produção científica mundial relativa à Ciência Orientada a Dados a partir dos termos “e-Science” e “Data Science” na Scopus e na Web of Science, entre 2006 e 2016. Metodologia: A pesquisa está estruturada em cinco etapas: a) busca de informações nas bases Scopus e Web of Science; b) obtenção dos registros; bibliométricos; c) complementação das palavras-chave; d) correção e cruzamento dos dados; e) representação analítica dos dados. Resultados: Os termos de maior destaque na produção científica analisada foram Distributed computer systems (2006), Grid computing (2007 a 2013) e Big data (2014 a 2016). Na área de Biblioteconomia e Ciência de Informação, a ênfase é dada aos temas: Digital library e Open access, evidenciando a centralidade do campo nas discussões sobre dispositivos para dar acesso à informação científica em meio digital. Conclusões: Sob um olhar diacrônico, constata-se uma visível mudança de foco das temáticas voltadas às operações de compartilhamento de dados para a perspectiva analítica de busca de padrões em grandes volumes de dados.Palavras-chave: Data Science. E-Science. Ciência orientada a dados. Produção científica.Link:http://www.uel.br/revistas/uel/index.php/informacao/article/view/26543/20114

scholarly journals Inter-Machine Exchange of Real Time in Distributed Computer Systems

2020 ◽  
pp. short50-1-short50-8
Author(s):  
Vladimir Bogatyrev ◽  
Stanislav Bogatyrev ◽  
Anatoly Bogatyrev
Keyword(s):  
Real Time ◽  
Analytical Model ◽  
Waiting Time ◽  
Computer Systems ◽  
Delivery Time ◽  
Network Nodes ◽  
Average Waiting Time ◽  
Service Delays ◽  
Distributed Computer Systems

The possibilities of increasing the likelihood of timely service and reducing the average waiting time for requests for inter-machine exchange in distributed real-time computer systems are investigated. The analyzed effect is achieved as a result of redundant multi-way transmissions of packets that are critical to delays, which provide for the replication of transmitted packets with the task for each replica of the path (route) of the sequential passage of network nodes. The condition for the timeliness of the reserved transmissions is that the accumulated waiting in the queues of the nodes making up the path, at least for one of the replicas, does not exceed the maximum permissible time. An analytical model is proposed for estimating the average delays of multi-path redundant transmissions, when determined by the average delivery time of the first of the replicas transmitted in different ways. For requests critical to service delays, the influence of the frequency of reservation (replication) of requests on the probability of their timely service and the average waiting time accumulated at the nodes of the path for the replica delivered first was analyzed.

MODELING, ANALYSIS AND COUNTERING SCENARIOS OF PREPARING COMPUTER ATTACKS REALIZED BY THE GROUP APT3 IN DISTRIBUTED COMPUTER SYSTEMS

2021 ◽  
pp. 35-46
Author(s):  
Алексей Леонидович Сердечный ◽  
Александр Владимирович Айдаркин ◽  
Михаил Андреевич Тарелкин ◽  
Анна Евгеньевна Дешина
Keyword(s):  
Petri Nets ◽  
Computer Systems ◽  
Protection System ◽  
Protection Measures ◽  
Advanced Persistent Threat ◽  
Modeling Methods ◽  
Modeling Analysis ◽  
Protected Object ◽  
Computer Attacks ◽  
Distributed Computer Systems

В работе представлены результаты моделирования способов реализации долговременных целенаправленных атак на корпоративные распределённые компьютерные системы со стороны одной из опасных киберпреступных группировкок - Advanced Persistent Threat 3 (APT3). Осуществлено моделирование способов, реализуемых APT3. Построение моделей осуществлялось с использованием аппарата сетей Петри на основании сведений о технических приёмах, содержащихся в базе данных MITRE ATT&CK. Разработанные модели взаимосвязаны по условиям и последствиям реализации основных технических приёмов, актуальных для корпоративных распределённых компьютерных сетей. Реализованный подход также позволяет моделировать меры защиты, регламентируемые нормативными и методическим документами, что даст возможность принятия обоснованных решений при построении системы защиты с учётом специфики защищаемого объекта. The paper presents the results of modeling methods for implementing APT-attacks on corporate distributed computer systems by one of the most dangerous cybercrime groups - Advanced Persistent Threat 3 (APT3). The methods implemented by APT3 are modeled. The models were constructed using the Petri nets apparatus based on the information about technical techniques contained in the MITRE ATT&CK database. The developed models are interrelated in terms of the conditions and consequences of the implementation of the main technical techniques relevant for corporate distributed computer networks. The implemented approach also allows to model the protection measures from regulatory and methodological documents, which will make it possible to make informed decisions when building a protection system, taking into account the specifics of the protected object.

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