good research presentations · cloud computing, big data, mobile traffic, the internet of things...
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© author(s) of these slides including research results from the KOM research network and TU Darmstadt; otherwise it is specified at the respective slide
16-Jan-20
Prof. Dr.-Ing. Ralf Steinmetz
KOM - Multimedia Communications Lab
Template all v.3.4
ATFIR_03_Workshop_Presentations___v3___160117.pptx
Good Research Presentations
Advanced Topics in Future Internet Research
Seminar Multimedia Communications I/II
Manisha Luthra, M.Sc.
atfir@kom.tu-darmstadt.de
Feel free to grab a coffee before we start!
KOM – Multimedia Communications Lab 2
Submission deadline for Semi-final papers and presentations
Submission deadline for final papers and presentations
Final ATFIR workshop – attendance is mandatory!
Gentle Reminder
Monday, 20.01.2020, 23:59 CET
Friday, 31.01.2020, 23:59 CET
to atfir@kom..and your supervisors!
Monday, 03.02.2020, 9 am, S3|20 111
KOM – Multimedia Communications Lab 3
What do you need to transport to the audience?
What tools do you have?
Your slides
Style: template, usage of elements
Content: motivation, approach, results
Your voice
Presentation style, speech
How you stand, walk, look, gesture, ...
The discussion
Examples – Dos and Don'ts
Goal of Today’s Workshop
KOM – Multimedia Communications Lab 4
...in a scientific presentation? Ideas?
You need to motivate a problem
Why is it relevant?
Why should the audience care?
You need to show solutions / ideas
Not only your own solution *
In a way that your audience can follow
You need a discussion
Provide a conclusion and points for discussion (e.g., outlook)
* In the scope of the seminar, you do not present own solutions, as you are conducting a survey.
What do you Need to Transport...
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20 minutes to
Say hello
Motivate a problem
Introduce your methodology
Discuss related works
Discuss your solution
Show evaluation results
Wrap up your findings
Highlight some future directions
What do you consider to be the
most important point?
Items in grey are not required in the seminar presentations (survey-style)
Limitation: Time!
KOM – Multimedia Communications Lab 6
Do not lose the audience
Why am I listening to this talk?
What problem is he/she trying to solve?
What’s the point now?
I don’t get it.
Boooring.
Golden Rule
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Let’s watch a movieyoutube.com/watch?v=lpvgfmEU2Ckyoutube.com/watch?v=8S0FDjFBj8o
KOM – Multimedia Communications Lab 8
What do you need to transport to the audience?
What tools do you have?
Your slides
Style: template, usage of elements
Content: motivation, approach, results
Your voice
Presentation style, speech
How you stand, walk, look, gesture, ...
The discussion
Examples – Dos and Don'ts
Goal of Today’s Workshop
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Your Slides
Inspired by “Avoid Death by PowerPoint (TEDx by David JP Phillips)”
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Use the Template!
What are key elements of a template?
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The title
Should contain the take-home
message of the current slide
Do not use generic titles
(e.g.: motivation, related work)
Why?
Colors
Stick with very few colors
Use them consistently for the
same purpose – why?
Some corporate design stuff
No way to get rid of it, so just
leave it untouched...
Page number
Important for later discussion
Use the Template!
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One Message per Slide
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Keep the number of objects on your slide low – why?
Counting objects (+500% cognitive resources) vs. seeing
The Magical Number 6
http://tinyurl.com/k29wjmz
Cognitive Resources Fatigue
Counting Counting Seeing
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Point 1
Point 2
Point 3
Point 4
Point 5
Point 6
Point 7
Point 8
Point 9
Point 10
Size
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Point 1
Point 2
Point 3
Point 4
Point 5
Point 6
Point 7
Point 8
Point 9
Point 10
Size
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Eye Contraction – Your eyes follow big things
Size
Main point or the thing to highlightshould be the biggest
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Point 1
Point 2
Point 3
Point 4
Point 5
Contrasting
Use PowerPoint build in features for highlighting
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Try to keep your slides visually calm
Remember the video!
Do not put too much information on a single slide
Remember, one take-home message per slide title!
Use images, schematics, illustrations
But only, if they have a purpose on the slide
Use animations wisely
Only very simple ones (e.g., appear)
Only, if they help you with your talk
If you want to highlight something
(do not rely on a laser pointer...)
Disclaimer: as these slides are also intended for offline-learning, they contain more text then they would
normally need.
The less Clutter, the Better
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Examples:
Dos and Don‘ts
Disclaimer: there is no best or worst solutions, yet it is always better to use good practices and tips while
preparing a presentation
Now it’s time for a coffee!
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Do you like / dislike the following motivational slides?
Why?
How to Motivate your Topic?
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Mobile Devices
Details[1]:iPhone 5s
4”1136x640
326ppi
Details[3]:iPad Air9.7”
2048x1536264ppi
Details[2]:Nexus 54.95”
1920x1080445ppi
Fig. 1. iPhone 5s [1] Fig. 2. Nexus 5 [2] Fig. 3. iPad Air [3]
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Blockchain
• Address• Output and Input• Proof of Work
• A blockchain is a distributed database that maintains a continuously-growing list of ordered records called blocks. Each block contains a timestamp and a link to a previous block. By design blockchains are inherently resistant to modification of the data — once recorded, the data in a block cannot be altered retroactively. Blockchains are "an open, distributed ledger that can record transactions between two parties efficiently and in a verifiable and permanent way. The ledger itself can also be programmed to trigger transactions automatically. - Wikipedia
• Longest chain of blocks from leave to root (genesis block)
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Importance of Big Data
Source: IDC's Digital Universe Study, sponsored by EMC, December 2012;
McKinsey Global Institute Analysis
• Increase of generated data
• Employed in areas such as social networks, e.g. Facebook, and Internet of Things
Am
ou
nt o
f da
ta (e
xa
byte
s)
Year
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Motivation: Software-Defined Networking
Demand is increasing
Cloud computing, Big data, Mobile traffic, The Internet of Things (IoT).
Supply is increasing
The capacity of network has increased to absorb rising loads.
Traffic patterns have become more complex
Network convergence of voice, data, and video traffic.
Traditional network architectures are inadequate
QoS and QoE requirements are expanding.
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faster, more reliable, perfect?
Distributed Databases
- Data does not lay on a central server
- workload for nodes falls immensely
- highly modular
- node communication for consistency
- How to stay consistent and safe against attacks?
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Some Tips on the Motivation Section
Motivate “customer’s pain”
Everybody should understand and “feel” the problem
Give your audience a scenario (fictional)
Be aware that you might need to simplify the scenario a bit
Re-use the scenario within your talk, at least during the conclusion
Be careful with statistics and numbers
Actually, nobody really cares if its 73% or 73.55%, yet needs to be accurate!
Do not confuse “Motivation” with “Background Information”
State your mission
E.g.: goal of your work, your approach in a nutshell, ...
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Do you like / dislike the following outline? Why?
How to Present your Structure?
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Agenda
Introduction
Publish/Subscribe Systems
Mobile Ad-Hoc networks
Location Awareness
Publish/Subscribe in Wireless and Mobile Ad-Hoc networks
Categories
Major types of Publish/Subscribe Services
Commonly deployed Location Awareness schemes in Ad-Hoc networks
Challenges faced with Publish/Subscribe Services on a Mobile Ad-Hoc
Scenario
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Agenda (Contd.)
Existing Publish/Subscribe Mechanisms deployed on Mobile networks
STEAM - Scalable Timed Events And Mobility
MobUser
Pervaho
LASPD - Location Aware Service Provision and Discovery
An Efficient Spatial Publish/Subscribe System
Supporting Mobility with REBECA
Possible Future Course of Action
Conclusion
References
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Our aim
• Various approaches existing
• Differences
• Trade-offs
• Is there an optimal approach?
• CAP Theorem
Figures referenced from [1], [2], [3], [4], [5], [6]
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Do you Need an Outline Slide at all?
75% of outlines of BA/MA-Theses at KOM look like this:
Why not just start directly with your motivation and provide some
structure afterwards?
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Some Tips on the Outline Slide
Do not put everything in the outline!
Reduce the number of bullets (remember magical no. 6?)
Build motivation before introducing the Outline
Use outline slide repeatidly as a structure
Use boxes to focus on the current introduced section
Do not spend more than a minute on the outline
Perhaps the interesting content is yet to be presented
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Do you like / dislike the following slides? Why?
How to Categorize and Discuss Approaches?
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Chatzimilioudis et. al. - Tziritas et. al.Pros and Cons
Chatzimilioudis et. al.
Pros+ Parameter-free+ Could be used in any framework that optimizes continous queries
Cons- Not designed to handle capacity constraints- Communication overhead caused by control messages
Tziritas et. al.
Pros
+ Execution under capacity constraints
+ No need for control messages
Cons- Relies on random choices ofdestination nodes
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Sensor groups coverage
Heterogeneous Homogeneous
Different sensors, different characteristics.
For many reasons (budget, shareholders,
etc.) sometimes we can’t avoid this.
Same type of sensors.
Ideal
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Cloudlet Approaches
Virtual Machine-based Cloudlet
Customized VM for each mobile application
Intermediate Cloudlet
Cloudlet as pre-processor & scheduler
Ad hoc cloudlet
Multiple mobile devices form a network
CloneCloud
Cloning mobile device on cloudlet
Pocket cloudlet
User’s mobile device acting as a cloudlet
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Comparison of Approaches
VM-based
Cloudlet
Intermediate
Cloudlet
Ad-hoc
cloudlet
CloneCloud Pocket
Cloudlet
Architecture
Entities mobile-cloudlet-
cloud
mobile-cloudlet-
cloud
ad-hoc network mobile-cloudlet mobile-cloud
Cloud
Connection
yes, setup
phase
yes, everytime no no yes, periodical
Offload
Granularity
coarse
(application)
fine
(component)
fine
(component)
very fine
(thread)
no offloading
(caching)
App Execution cloudlet distributed distributed distributed mobile device
Comment Stable, high
abstraction, but
little support for
mobile device
feature (e.g.
camera)
Cloudlet as pre-
processor,
drawback:
manual
partitioning of
application
Dynamic and
scalable but
hard to
establish
Automatic and
optimized
offloading, very
flexible, but
more complex
Only suitable
for data
retrieval, not
computational
applications
KOM – Multimedia Communications Lab 38
How to Present Related Works
Identify a categorization scheme
Deployment model, targeted scenario, functional/non-functional requirements
May also be an evolution of approaches over time
Introduce your scheme
This is your methodology!
Highlight only the most relevant aspects
E.g., key advances over prior works, smart ideas, not-so-smart ideas
Do not get lost in details – otherwise, your audience could just read the paper
themselves
Provide structure
Tables, or “+”/”-” bullets, or simple schematics
Jayesh.Sarswat.Prasanna.Mahadevaswamy.talk.ppt
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Example Slide for References
[SIGMOD
04] Zhu, Y., Rundensteiner, E. a, & Heineman, G. T. (2004). Dynamic plan migration for continuous queries over data streams.
In the Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004, pp 431–442.
[AC04] Y. Ahmed et al. Network-Aware Query Processing for Stream-based Applications, In the Proceedings of the 30th
International conference on Very large databases, VLDB ‘04.
[SMW05] U. Srivastava et al. Operator Placement for In-Network Stream Query Processing, In the Proceedings of the 24th ACM
SIGMOD Symposium on Principles of Database Systems, PODS ‘05.
[SPZ+05] Sutherland, T. M., Pielech, B., Zhu, Y., Ding, L., & Rundensteiner, E. A. (2005). An adaptive multi-objective scheduling
selection framework for continuous query processing. Proceedings of the International Database Engineering and
Applications Symposium, IDEAS, 2005, 445–454.
[ZOT+06] Y. Zhou et al. Efficient Dynamic Operator Placement in a Locally Distributed Continuous Query System, In Proceedings of
the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA,
and ODBASE.
[PLS+06] P. Pietzuch et al. Network-aware operator placement for stream-processing systems, In the Proceedings of International
Conference on Data Engineering, ICDE ‘06.
[KYC+06] Krämer, J., Yang, Y., Cammert, M., Seeger, B., & Papadias, D. (2006). Dynamic plan migration for snapshot-equivalent
continuous queries in data stream systems. Current Trends in Database Technology-EDBT 2006, 4254, 497–516.
[LLS08] Lakshmanan, G. T., Li, Y., & Strom, R. (2008). Placement strategies for internet-scale data stream systems. IEEE Internet
Computing, 12(6), 50–60.
[RDR10] S. Riozou et al. Solving the multi-operator placement problem in large-scale operator networks, In the Proceedings of
International Conference on Computer Communications and Networks, ICCCN ‘10.
[CM12] Cugola, G. & Margara, A.: Deployment strategies for distributed complex event processing Computing, 2012, 95, 129-156
[Rizou 13] S. Rizou, Concepts and Algorithms for Efficient Distributed Processing of Data Streams, PhD Thesis, 2013
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Your Voice
Now it’s time for a coffee!
KOM – Multimedia Communications Lab 41
Human Memory
Sentences + Speaking = Remembered by audience1 + 1 = close to 0
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Watch your hands
Take a breath – include breaks, drink
Look at your audience – switch the focus
Perception
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The Discussion
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Ensure that you got the question
Often, it is a good idea to briefly rephrase the question before answering
Give a precise answer – the more to the point, the better
Ask, if you need more detail: “do you refer to X?”
Use your slides
Take your time, do not just start babbling – first rephrasing the questions gives
you some extra seconds to think about a suitable answer
If you are asking questions
Stick to one question at a time and keep it short and to the point
Interrupt (politely), if the answer does not match your question
Signal to the presenter if you still follow the answer (e.g., nod, say “mh”, ...)
Be Polite. Ask, if you are Unsure!
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Discussion / Questions
top related