Визит профессора Горбенко А.В. в Leeds Beckett University, Leeds, UK

17.10.14

15-28 сентября 2014: д.т.н., профессор Горбенко А.В, профессор кафедры компьютерных систем и сетей, декан факультета РТСЛА Национального аэрокосмического университете им. Н.Е. Жуковского "ХАИ", посетил Leeds Beckett University, Leeds, UK.

Вы можете ознакомиться со списком его публикаций в системе Google Scholar здесь: http://scholar.google.co.uk/citations?user=nm8TOtEAAAAJ&hl=ca&cstart=0&pagesize=20

Он был награждён грантом Scholar Scholarship под эгидой Европейской комиссии, что дало ему возможность читать лекции и проводить исследования в сотрудничестве с ассоциированными партнёрами PERCCOM. Исследования и преподавательская деятельность проводились в течение двух недель в Лидсе (Англия), и включали в себя:

  1. Обмен опытом исследований кафедры ХАИ и School of Computing, Technologies and Engineering, Leeds Beckett University (под управлением профессора Colin Pattinson)
    • Мозговой штурм исследовательских идей по предложению Евросоюза
    • Улучшение предложения EJD
    • Обмен опытом и экспертиза программ магистерских курсов по специальностям Разработка  и Тестирование ПО.
    • Совместные публикации.
  2. Блоки лекций для повышения квалификации персонала и аспирантов
    • Проектирование "облаков" и служб
    • Мобильные клиенты и WiFi сети
    • Технологии Big data
    • Системная производительность, гарантоспособность и надёжность

Материалы лекций (слайды) Вы можете загрузить по ссылке с DropBox

https://www.dropbox.com/sh/5nzozypf1i2zqnz/AAD4mtG_0Nljb6Dvx5LaWhuKa?dl=0

Подробнее с темами лекций Вы можете ознакомиться ниже (на англ.):

Session 1: Cloud Deployment and Services

Lecture 1: Using Diversity in Cloud-Based Deployment Environment to Avoid Intrusions
The aim of this lecture is to discuss the development a generic intrusion-avoidance architecture aiming at decreasing the risk of intrusion and reducing number of days-of-risk by:

  • employing the diversity of the system software components
  • exploiting vulnerability information provided by vulnerability databases
  • using cloud deployment environment supporting dynamical reconfiguration at run-time

Lecture 2: Performance Benchmarking and Statistical Analysis of Response Time Instability in SOA
The objectives this lecture are to:

  • foster understanding the uncertainty of delays contributing to the Web Service (WS) response time (RT)
    • network delay (RTT)
    • request processing time (RPT)
  • provide insights into various  theoretical distributions to represent WS
  • response time and delays contributing to the RT
  • facilitate the understanding of whether uncertainty of WS and SOA (Service Oriented Architecture) can be predicted (be made more certain)

Lecture 3: Performance Benchmarking of Cloud-based Web Services:
MS Azure vs GoGrid vs In-house server
The objectives of this lecture are to:

  • Discuss the benchmarking performance of Cloud-based Web Services: MS Azure vs GoGrid
  • Provide insights into the uncertainty of delays contributing to the Cloud response time (RT)
    • network delay (RTT)
    • request processing time (RPT)

Session 2: Mobile Clients and Wi-Fi Networks

Lecture 4: Green service provisioning for mobile clients
The objectives of the lecture are to:

  • Discuss the interaction scenarios of the various mobile technology stakeholders
  • Foster the understanding of green WiFi trade-offs
  • Provide insight into the enrgy consumption measurement for mobile related hardware and software, internal and external measurement tools/techniques

Lecture 5: Estimating Throughput Unfairness in a Mixed Data Rate Wi-Fi Environment
The objectives of the lecture are to:

  • Provide some background information on Wi-Fi
  •  Introduce some relevant glossary of terms
  • Introduce analytical models which assess:
    • existing unfairness towards high speed clients and
    • the overall network throughput degradation

Lecture 6: Contention Window Adaptation to Ensure Airtime Consumption Fairness in Multirate Wi-Fi Networks
The objectives of the lecture are to:

  • Introduce some relevant glossary of terms
  • Introduce mathematical models for estimating a fair size of stations Contention Windows (CW)
  • Discuss a suboptimal lightweight distributed algorithm assuring airtime consumption fairness in multirate Wi-Fi networks via contention windows adjustment

Session 3: Big data technologies

Lecture 7: Java4BigData: Introduction to Big Data
The objectives of the lecture are to discuss the following:

  • ACID and Transactions
  • What is Big Data?
  • CAP Theorem
  • BASE paradigm
  • NoSQL and NewSQL
  • Distributed Data Processing
  • SPRAIN and Total Data
  • Java2BigData: Course Structure (implemented in KHAI, Ukraine)

Session 4: Systems performance dependability and reliability

Lecture 8: Service-Oriented Computing: Uncertainty, Dependability and Performance Trade-off
The topics addressed in the lecture are:

  • Service-Oriented Computing: main challenges
  • The Challenge of Dependability and Performance Uncertainty
  • Where to look for solutions?
  • Dependability and Performance Tradeoff

Lecture 9: Safety of Rocket-space Engineering and Reliability of Computer Control Systems and Software
The outline of the lecture is as follows:

  • Background information to the context
  • Information sources
  • Spacecrafts and rockets launch and failures analysis
  • Failure cause analysis
  • Failures of on-board computer systems and software
  • Risk compatibility between 1990th and 2000th
  • Conclusions