This presentation is part of the course "184.742 Advanced Services Engineering" at The Vienna University of Technology, in Winter Semester 2012. Check the course at: http://www.infosys.tuwien.ac.at/teaching/courses/ase/

1. Advanced Services Engineering,
WS 2012
Advanced Services Engineering-
Introduction
Hong-Linh Truong
Distributed Systems Group,
Vienna University of Technology
truong@dsg.tuwien.ac.at
http://www.infosys.tuwien.ac.at/staff/truong
ASE WS 2012 1

2. Outlines
 Why advanced services engineering?
 What is the course about?
 Course administration
ASE WS 2012 2

3. Why advanced services
engineering?
 We are facing complex requirements
 Big and near real-time data must be handled in a timely
manner to extract insightful information
 Cross-boundary, Internet-scale services and data
integration must be done
 Multiple concerns wrt quality, regulation and cost/benefits
must be assured.
 Cloud and service computing models
 facilitating data and service provisioning/integration
 But engineering Internet-scale service-based
systems for these requirements is very challenging
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4. Why advanced services
engineering? (2)
Infrastructure/Internet of Things Internet/public cloud Organization-specific
boundary boundary
Equipment Operation
and Maintenance Emergency
Management
Near Enterprise
Civil protection realtime
analytics Resource
Planning
Building Operation Predictive
data
Optimization analytics
Tracking/Log
istics
Visual
Analytics
Infrastructure
Monitoring
...
Cities, e.g. including:
10000+ buildings
1000000+ sensors
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5. Why advanced services Data-as-a-Service
engineering? (2) and Platform-as-a-
Service in clouds
Soil
moisture
analysis for
Sentinel-1
A lot of input data (L0):
~2.7 TB per day
A lot of results (L1, L2):
e.g., L1 has ~140 MB per
day for a grid of
1kmx1km
Michael Hornacek,Wolfgang Wagner, Daniel Sabel, Hong-Linh Truong, Paul Snoeij, Thomas Hahmann, Erhard Diedrich, Marcela Doubkova,
Potential for High Resolution Systematic Global Surface Soil Moisture Retrieval Via Change Detection Using Sentinel-1, IEEE Journal of
Selected Topics in Applied Earth Observations and Remote Sensing, April, 2012
ASE WS 2012 5

6. Why advanced services
engineering? (2)
Source: http://www.undata-api.org/
Source:
http://www.strikeiron.com/Catalog/StrikeIronServices.aspx
Source: http://docs.gnip.com/w/page/23722723/Introduction-
to-Gnip
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7. Why advanced services
engineering? (4)
 We need to deal with big, near real-time data
coming from different platforms and multiple
services from multiple providers for multiple
stakeholders
Complex service-based systems
 Not just big data in a single organization which can be
dealt by using, e.g., MapReduce/Hadoop
 Not just take the data and do the computation: how to
guarantee multitude of data/service concerns
 Not just things and software: human-in-the-loop
 Think about “exascale” service-based systems
ASE WS 2012 7

8. Why advanced services
engineering? (4)
 Existing courses provide foundations
 Advanced Internet Computing
 Give you some advanced technologies in Internet Computing but
not focus very much one large-scale, data intensive services
systems
 Distributed Systems
 Give you fundamental distributed system concepts and
technologies only
 Service Level Agreements:
 Give you fundamental concepts about service agreements
 But they do not deal with engineering such large-scale,
complex service-based systems
 Big, near-realtime data and complex service integration are the
driving force!
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9. Questions
WHY DO YOU WANT TO TAKE
THIS COURSE? ARE YOU
WORKING ON SUCH SYSTEMS?
ARE YOU CONVINCED?
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10. What is the course about? (1)
 Discuss new concepts and techniques for
engineering advanced, Internet-scale service-
based systems
 Focus on service systems for data analytics in
this semester
 Consider a wide range of applications for real-
world problems in machine-to-machine (M2M),
science and engineering, and social media
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11. What is the course about? (2)
Focus Big/realtime Data Data
Data Provisioning Analytics
•Data concerns •Data-as-a-service (DaaS) •Hybrid software and human-
•Data concerns monitoring •Data Marketplaces based services
and evaluation •DaaS contracts •Multi-cloud analytics services
Hybrid software-based and human-based service systems engineering
Topics
Quality of data aware workflow design and optimization
Service engineering and integration in multiple cloud environments
Science, social, business, machine-to-machine and open data
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12. References for the course
 No text book designed for this course
 Some references from recent scientific papers
 Relevant research in big data
 But not very much on data management or single
organization data analytics (e.g.,
MapReduce/Hadoop)
 Relevant work in Internet of Things, People and
Software integration
 Distributed and Cloud Computing
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13. Course administration (1)
 Held in block
 But the schedule can be adapted
 Who could participate?
 Master students in advanced stages (e.g., seeking for
master thesis) in informatics and business informatics
 PhD students: PhD School of Informatics, Doctoral
College of Adaptive Systems
 Students should have knowledge about fundamental
distributed systems, internet computing and
distributed computing technologies
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14. Course administration (2)
 Three course segments
 Overview and understanding of complexity in
engineering Internet-scale advanced service systems
 Data issues in engineering complex services
 Lectures and assignments
 Services and service integration issues in complex
services engineering
 Lectures and a mini project
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15. Course administration (3)
 Evaluation methods
 Assignments, a mini project and a final examination
 Assignments
 4 home assignments resulting in some analysis
summaries
 Mini project
 One mini project resulting in a small
prototype/conceptual design
 Oral final examination
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16. Grades
 Participations + discussions: 10 points
 Assignments: 40 points
 Mini projects: 20 points
 Final oral examination: 30 points
Point Final mark
90-100 1 (sehr gut)
75-89 2 (gut)
56-74 3 (befriedigend)
40-55 4 (genügend)
0-39 5 (nicht genügend)
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17. ANY QUESTION?
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18. Thanks for
your attention
Hong-Linh Truong
Distributed Systems Group
Vienna University of Technology
truong@dsg.tuwien.ac.at
http://www.infosys.tuwien.ac.at/staff/truong
ASE WS 2012 18