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Pervasive Computing > Exercise: Paper discussion > Flashcards

Exercise: Paper discussion Flashcards

1
Q

What was Marc Weisers Vision?

A
  • The most profound technologies are those that disappear

- -> Ubiquitous computing

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2
Q

What means Ubiquitous computing?

A
  • No PCs but computers everywhere
  • People take computers for granted
  • They are not anymore aware of their existence -> embodied virtuality
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3
Q

How to become a embodied virtuality?

A
  • Computers become invisible (computers in switches, ovens, fridges; connected by network)
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4
Q

What are the issues to become a embodied virtuality?

A
  • Location and scale
  • Computers need to know where they are
  • Devices of different sizes for different purposes
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5
Q

Which implications of ubiquitous computing did Weiser predict?

A
  • Privacy will become key issue
  • Individuals will be more aware of other people instead of working alone with a PC
  • All groups in society will use computers
  • No information overload (don’t frustrate the user)
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6
Q

How was Weiser vision created?

A
  • He way bold and creative about technology

- He had a goal which determined technology, not the other way around

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7
Q

What new knowledge was developed by Satya, who revisited Weisers vision in 2001?

A

Pervasive computing is the intersection of:

  • Distributed System
  • Mobile Computing

Pervasive computing research focus:

  • Effective use of smart spaces
  • Invisibility
  • Localized scalability
  • Masking uneven conditions
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8
Q

Explain the research focus Effective use of smart spaces

A
  • Embedding computers in rooms

- Automatic adjustment of cooling in a room

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9
Q

Explain the research focus Effective use of invisibility

A
  • Optimally: computer usage completely unconscious

- Approximation: minimal user distraction

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10
Q

Explain the research focus Effective use of Localized Scalability

A
  • More interaction with computers that are in proximity
  • Few distant interactions (creates a new understanding of scalability)

–> Like implemented by Google Cloud: upload to tenants that are far away?

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11
Q

Explain the research focus Effective use of Masking uneven conditions

A
  • User should still have the impression of high service quality independent of the environment he uses
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12
Q

What do Satyas finding imply in detail in terms of User Intent?

A
  • Applications are too generic

- They need to determine what the user really wants in a situation

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13
Q

What do Satyas finding imply in detail in terms of Adaption Strategy?

A
  • How to adapt the mismatch between resource supply and demand ? (e.g. bandwith)
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14
Q

What do Satyas finding imply in detail in terms of High-level energy management?

A
  • Higher energy demand vs more compact computers
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15
Q

What do Satyas finding imply in detail in terms of Client-thickness?

A
  • What capabilities do pervasive computers need to have?
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16
Q

What do Satyas finding imply in detail in terms of Context awareness?

A
  • System has to be aware of users state and surroundings

- Adapt behavior to different contexts

17
Q

What do Satyas finding imply in detail in terms of Balancing proactivity and transparency?

A
  • Find perfect tradeoff

- User-dependent and not generic

18
Q

What do Satyas finding imply in detail in terms of impact on layering?

A
  • Different layers of a system have to cooperate

- Low-level information and application information

19
Q

What do Satyas finding imply in detail in terms of Cyber foraging?

A
  • Mobile device communicates wireless with “Surrogate” fixed in infrastructure
  • Surrogate communicates wired with cloud (for faster communication)
20
Q

What was Satya’s prediction for the 21st century?

A
  • Pervasive computing offers new exciting opportunities

- Pervasive computing is a rich open space; rules have to be written and borders need to be drawn

21
Q

What has cyber foraging become today?

A
  • No commercial deployment of cyber foraging
22
Q

What is the big challenge with pervasive computing?

A
  • No “killer application” so far
    • Devices get more powerful
    • Dataset too large
  • Surrogate setup and maintenance -> Who pays?
  • Is VR the answer?
    • Real-time requirement
    • Lack of computing power
    • Low battery capacity
23
Q

What are new research streams in pervasive computing?

A
  • Big data also influences pervasive computing research

- > Pervasive data science emerged

24
Q

What is pervasive data science?

A
  • Pervasive computing research focuses on user experience
  • We live in a data-centric world
  • Combination of data-centric and user experience can lead to new opportunities
25
Q

What are current challenges in pervasive data science ?

A

Data collection:
- Data ownership more complex (data fusion from multiple sources)

Analysis / Inference:

  • Data Volume / Variety / Velocity
  • Where to process data? (Locally, edge, cloud?)

Actuation:

  • Visualization with pervasive computing technology
  • Data-driven actuation (of e.g. environment)
26
Q

Example areas of pervasive data science

A
  • Autonomous vehicles
  • Smart spaces
  • Augmented cognition
27
Q

Whats new about pervasive data scienece?

A
  • Its not an isolated area -> intersection with trends is very relevant
  • challenges of the data pipeline influence pervasive computing
  • requires multi-disciplinary approach

Pervasive Computing (11 decks)

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