Welcome Meeting 2017 & Orientation day slides introductory slides for Master 1 CCS (Cloud Computing and Services) at University de Rennes 1..

1. Cloud Computing and Services
Welcome meeting for 1st-year students
Guillaume Pierre
guillaume.pierre@univ-rennes1.fr
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2. Guillaume Pierre (France)
My background:
Professor at the Rennes 1
university
Researcher in Cloud computing
How I discovered the master
school:
Taking its leadership was part of
the deal for this position
Why Rennes?
Nice city, great quality of life
The best research lab in France for
cloud computing (in my opinion)
My expectations:
Bring good and ambitious
students in Rennes
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3. The local environment
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4. Brittany
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5. Rennes
Capital city of Brittany
211,000 inhabitants
Among them: 63,000 students
(30% of the population!)
A major center for arts and culture
Music festivals etc.
A major hub for science and
technology
Universities, schools, research labs
Plenty of IT companies
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6. The university
Founded in 1461. . . in Nantes
The main scientic university in Rennes
29,601 students in 2015/2016 (including
7000+ international students from 121
countries)
1817 faculty members
1580 sta members
Three campuses in Rennes
And a few other ones in other cities
nearby
Why is it called Rennes 1 university?
Because there is also a Rennes 2
university :-)
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7. The campus
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8. ISTIC
ISTIC == Dept. of Computer Science and Electronics
1400 students (bachelors, masters, PhD)
75 teachers
Strong connections with research
Strong connections with businesses
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9. INRIA / IRISA
The biggest IT research
center in France
∼ 800 employees, 39
teams, 7 departments
Top-notch equipment
(you will get access to
some of it)
Most of your professors are
also researchers there
Main research domains:
Large Scale Systems
Networks, Telecommunication and
Services
Architecture
Language Software Engineering
Digital Signals and Images, Robotic
Media and Interactions
Data and Knowledge Management
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10. EIT Digital in Rennes
Frédéric will tell you everything about it :-)
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11. The master school
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12. The master school in a nutshell
ScienceTechnology + InnovationEntrepreneurship
European
Strong connections with major industrial partners
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13. Two versions of the same program
EIT Digital version Pure-ISTIC version
Mobility Two years in two dierent
universities
Two years at the University
of Rennes 1
Degree Two master degrees + a
certicate from EIT
Master degree of the Uni-
versity of Rennes 1
All the rest Exactly the same
Note: students from the pure-ISTIC version may choose to apply to the
EIT Digital version in a couple of months.
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14. Eight technical majors
Digital Media Technology(DMT)
Cloud Computing and Services (CCS)
Embedded Systems (ES)
Human Computer Interaction and Design (HCID)
Internet Technology and Architecture (ITA)
Security and Privacy (SaP)
Service Design and Engineering (SDE)
Data Science (DSC)
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15. Eight technical majors
Digital Media Technology(DMT)
Cloud Computing and Services (CCS) ← You are here ;-)
Embedded Systems (ES)
Human Computer Interaction and Design (HCID)
Internet Technology and Architecture (ITA)
Security and Privacy (SaP)
Service Design and Engineering (SDE)
Data Science (DSC)
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16. European mobility
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17. The whole picture
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18. The major in Cloud Computing and Services
Keywords: cloud computing, distributed systems, large distributed
databases, fault-tolerant systems, Web services, mobile systems, distributed
information systems, networking.
Year 1:
Year 2:
Cloud Cloud Mobile Distributed Data Distributed
infrastructures data services information intensive data
analytics management computing processing
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19. Your study program
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20. Semester organization
1st semester: September 1st 2017 → December 22nd 2017
No class from October 30th to November 5th
Exams from December 18th to December 22nd
2nd semester: January 8th 2018 → April 27th 2018
No class from March 5th to March 11th
Exams from April 23rd to April 27th
From May to August:
Good time to do an internship
2nd-chance exams from June 11th to June 15th
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21. Forms of tuition
CM: cours magistraux
The teacher presents new contents
Students are welcome to ask questions
TD: travaux dirigés
Paper-based exercises
Make sure to learn the previous lesson
before attending the TD!
Attendance in the TDs is compulsory
TP: travaux pratiques
Computer lab
Make sure to learn the previous lesson
before attending the TP!
Attendance in the TPs is compulsory
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22. Your study program in Rennes (1st semester)
First semester: basic courses
SE: operating systems
ACO: object-oriented software design
RSP: networks from services to protocols
ST: service technologies
IE: innovation and entrepreneurship
BDL1: business development lab
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23. SE: operating systems
Topic: operating systems
How does an operating system work?
Particular emphasis on multitasking support
Synchronization mechanisms
Tuition method:
CM: lectures
TD: exercise sessions
TP: practical labs
Angeliki
Kritikakou
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24. ACO: object-oriented software design
Topic: how to design software in a systematic
fashion
Data modeling and representation
Design patterns
Software testing
Tuition method:
CM: lectures
TD: exercise sessions
TP: practical labs
Noël Plouzeau
Marc Bousse
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25. RSP: networking from services to protocols
Topic: Network architecture
Network protocols
Architecture of the Internet
Tuition method:
CM: lectures
TD: exercise sessions
TP: practical sessions César Viho
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26. ST: Service Technologies
Topic: Internet of Services + Cloud
How do we design/build/compose services?
How do we build workows?
How do we run them in the cloud?
How does a cloud work?
Tuition method:
CM: Lectures
TD: Reading articles and presenting them
TP: Building real services on Grid'5000
Grid'5000: a world-leading experimental testbed
2218 machines (7896 cores) in 10 locations
Entirely dedicated to research and teaching
Reserve physical machines and do anything
you want with them (e.g., erase the hard
drive, install your own OS)
Cédric Tedeschi
Guillaume Pierre
Mathieu Simonin
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27. IE: innovation and entrepreneurship
See Alvaro's presentation
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28. BDL1: business development lab
See Alvaro's presentation
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29. Your study program in Rennes (2nd semester)
Second semester: advanced courses
DS: distributed systems
IBD: big data storage and processing infrastructures
KNI: knowledge and intangible assets management
BDL2: business development lab
Elective course #1 (choose one):
MEPS: modeling for performance evaluation and safety analysis
NOY: operating systems system kernel implementation
Elective course #2 (choose one):
PPAR: parallel programming
COBRA: combinatorial opimization and related algorithms
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30. ST: distributed systems
Topic: mechanisms, algorithms, and system
implementations that enable the development
of distributed applications.
Communication
Naming and location
Coordination
Distributed transactions
Replication and consistency
Fault tolerance
Distributed le systems
Virtualization and cloud computing
architectures
Tuition method:
CM: lectures
TD: exercise sessions
Guillaume Pierre
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31. IBD: big data storage and processing
infrastructures
Topic:
Peer-to-peer networks
Grids and clouds
Large-scale data management
Tuition method:
CM: lectures
TD: research paper presentations
Gabriel Antoniu
Davide Frey 30/53

32. KNI: knowledge and intangible assets
management
See Alvaro's presentation
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33. BDL2: Entreprenarial project
See Alvaro's presentation
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34. MEPS: modeling for performance evaluation
and safety analysis
Topic: how to model system performance
mathematically
Markov chains (model for machine failures)
Queuing theory (model for application
performance)
System simulation (when models are not
suitable)
Tuition method:
CM: lectures
TD: exercise sessions
TP: practical labs
Bruno Séricola
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35. NOY: operating systems system kernel
implementation
Topic: operating system implementation
hardware/OS interactions
Operating system kernel structure
Process scheduling implementation
I/O mechanisms implementation
Memory management implementation
Operating system security
Required uency in two languages:
C
French :-(
Tuition method:
CM: lectures
TP: practical labs (lots of them)
Isabelle Puaut
Laurent
Perraudeau
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36. PPAR: parallel programming
Topic: running programs real fast on
parallel/distributed computers
Parallel algorithms
MPI
MapReduce
GPU programming
Tuition method:
CM: lectures
TD: exercise sessions
TP: practical labs
Cédric Tedeschi
Sylvain Collange
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37. COBRA: combinatorial opimization and related
algorithms
Topic: how to solve optimization problems
Mathematical programming for nding exact
solutions
Heuristics for solving NP-complete problems
Tuition method:
CM: lectures
TD: exercise sessions
TP: practical labs
Sophie Pinchinat
Rumen Andonov
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38. Exams and graduation criteria
Each class grades students its own way
Often a combination of grades from TD/TP and a written exam
Grades rank from 0 (very bad) to 20 (very good)
Any grade 15 means: excellent work (few students ever get such
grades)
Any grade 10 means: not good enough
You must validate each semester separately
Avg(grades)≥ 10
Otherwise you will have to take 2nd-chance exams in June
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39. Course schedules
Check your course schedule every day!
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40. Course schedules
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41. Course schedules
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42. Course schedules
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43. Course schedules
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44. Course schedules
You can also use this URL to import your course schedule in Google
calendar (menu Other calendars / Add by URL):
http://bit.do/dyxts
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45. Classrooms
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46. 11 September: meet the M2 students
Meet the M2 students
Meet Guillaume Toublanc, the new director of EIT Digital France
Take the best group photo ever
The meeting is already in your course schedule agenda
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47. Master school kicko: 19-21 October in...
Helsinki!
Meet students from other universities/majors, get to know each other
Lectures on Innovation Entrepreneurship
Team project competition to propose a great IE idea
You are all invited!
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48. A few words about cultural dierences
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49. The most important word in the French language:
Bonjour is the polite way to initiate any interaction with anyone
You say bonjour to your classmates, your professors, administrative
personnel, the bus driver, the supermarket cashier, the lady who serves
food at the student cafeteria, etc.
Also if you cross anyone you (vaguely) know in the street/corridors,
even if you are not going to start a discussion with them
Sometimes even complete strangers may tell you bonjour in the street
(answer bonjour back to them!)
There is only one exception when you are not supposed to say
bonjour:
If you have already said bonjour to this person on the same day!
How could you forget that we have already met today? I feel like I am
being ignored!
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50. The most important word in the French language:
BONJOUR
Bonjour is the polite way to initiate any interaction with anyone
You say bonjour to your classmates, your professors, administrative
personnel, the bus driver, the supermarket cashier, the lady who serves
food at the student cafeteria, etc.
Also if you cross anyone you (vaguely) know in the street/corridors,
even if you are not going to start a discussion with them
Sometimes even complete strangers may tell you bonjour in the street
(answer bonjour back to them!)
There is only one exception when you are not supposed to say
bonjour:
If you have already said bonjour to this person on the same day!
How could you forget that we have already met today? I feel like I am
being ignored!
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51. Geert Hofstede's model
Geert Hofstede is a Dutch psychologist
He is world-famous for his model of dierent cultures
Each country's culture is ranked along several dimensions
Power Distance
Individualism
Masculinity
Uncertainty avoidance
Long term orientation
Indulgence
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52. Power distance
All individuals in societies are not equal. Power Distance expresses the
extent to which the less powerful members of institutions and
organisations expect and accept that power is distributed unequally.
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53. Individualism
Individualism expresses whether people's self-image is dened in terms
of I or We. In Individualist societies people are supposed to look after
themselves and their direct family only. In Collectivist societies people
belong to `in groups' that take care of them in exchange for loyalty.
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54. Masculinity
A high score on this dimension indicates that the society will be driven by
competition, achievement and success. A low score means that the
dominant values in society are caring for others and quality of life.
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55. Uncertainty avoidance
Uncertainty Avoidance has to do with the way that a society deals with the
fact that the future can never be known. Uncertainty avoidance is the
extent to which the members of a culture feel threatened by
uncertain or unknown situations.
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56. Long term orientation
This dimension describes how every society has to maintain some links
with its own past while dealing with the challenges of the present
and future. Societies prioritise these two existential goals dierently.
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57. Indulgence
Indulgence is dened as the extent to which people try to control their
desires and impulses, based on the way they were raised. Relatively weak
control is called indulgence and relatively strong control is called
restraint.
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58. Check the model yourself!
Read:
The page about your own country
The page about France
http://geert-hofstede.com/countries.html
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59. Welcome in Rennes!
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