good research presentations · cloud computing, big data, mobile traffic, the internet of things...

© 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.

[email protected]

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 [email protected] your supervisors!

Monday, 03.02.2020, 9 am, S3|20 111


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


...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...


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!


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


Let’s watch a movieyoutube.com/watch?v=lpvgfmEU2Ckyoutube.com/watch?v=8S0FDjFBj8o


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


Your Slides

Inspired by “Avoid Death by PowerPoint (TEDx by David JP Phillips)”


Use the Template!

What are key elements of a template?


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!


One Message per Slide


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


Point 1

Point 2

Point 3

Point 4

Point 5

Point 6

Point 7

Point 8

Point 9

Point 10

Size


Eye Contraction – Your eyes follow big things

Size

Main point or the thing to highlightshould be the biggest


Point 1

Point 2

Point 3

Point 4

Point 5

Contrasting

Use PowerPoint build in features for highlighting


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


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!


Do you like / dislike the following motivational slides?

Why?

How to Motivate your Topic?


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]


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)


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


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.


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?


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, ...


Do you like / dislike the following outline? Why?

How to Present your Structure?


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


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


Our aim

• Various approaches existing

• Differences

• Trade-offs

• Is there an optimal approach?

• CAP Theorem

Figures referenced from [1], [2], [3], [4], [5], [6]


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?


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


Do you like / dislike the following slides? Why?

How to Categorize and Discuss Approaches?


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


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


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


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


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


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


Your Voice

Now it’s time for a coffee!


Human Memory

Sentences + Speaking = Remembered by audience1 + 1 = close to 0


Watch your hands

Take a breath – include breaks, drink

Look at your audience – switch the focus

Perception


The Discussion


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!


Discussion / Questions

good research presentations · cloud computing, big data, mobile traffic, the internet of things...

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