Mobile and Pervasive Computing - 7 Projects for Groups Presented by: Dr. Adeel Akram University of Engineering and Technology, Taxila,Pakistan

Mobile and Pervasive Computing - 7

Projects for GroupsPresented by: Dr. Adeel Akram

University of Engineering and Technology, Taxila,Pakistan

http://web.uettaxila.edu.pk/CMS/SP2014/teMPCms

Assoc.Prof. Halûk Gümüşkaya

Department of Computer Engineering

Fatih University

Outline

Principles of Pervasive Computing

Evolution & Related Fields Problem Space Example Projects Other Scenarios References


“The most profound technologies are those that dissappear. They weave themselves into the fabric of everyday life until they are indistinguishable from it.”

Creation of environments saturated with computing and communication capability, yet gracefully integrated with human users.

Scientific American,Vol. 265 N.9, pp. 66-75, 1991

Mark Weiser

Principles of Pervasive Computing During one of his talks, Weiser outlined a set of

principles describing pervasive computing (also called ubiquitous computing): The purpose of a computer is to help you do something

else.

The best computer is a quiet, invisible servant.

The more you can do by intuition the smarter you are; the computer should extend your unconscious.

Technology should create calm.

Calm technology “A technology that informs but doesn't demand our focus

or attention”. (Designing Calm Technology, Weiser and John Seeley Brown)


"Ubiquitous computing names the third wave in computing, just now beginning. First were mainframes, each shared by lots of people. Now we are in the personal computing era, person and machine staring uneasily at each other across the desktop. Next comes ubiquitous computing, or the age of calm technology, when technology recedes into the background of our lives."

Figure 1. The major trends in computing.


Promoters of this idea hope that embedding computation into the environment and everyday objects would enable people to interact with information-processing devices more naturally and casually than they currently do, and in ways that suit whatever location or context they find themselves in.

Principles of Pervasive Computing Pervasive computing integrates computation

into the environment, rather than having computers which are distinct objects.

Other terms for pervasive computing: Ubiquitous computing Calm technology Things that think Everyware Pervasive internet Ambient intelligence Proactive computing Augmented reality

Principles of Pervasive Computing Central aim of pervasive computing: invisibility

One does not need to continually rationalize one's use of a pervasive computing system.

Having learnt about its use sufficiently well, one ceases to be aware of it.

It is "literally visible, effectively invisible" in the same way that a skilled carpenter engaged in his work might use a hammer without consciously planning each swing.

Similarly, when you look at a street sign, you absorb its information without consciously performing the act of reading.



Evolution & Related Fields

Pervasive computing represents a major evolutionary step in a line of work dating back to the mid-1970s.

Two distinct earlier steps in this evolution: Distributed systems Mobile computing


Figure 2. Taxonomy of computer systems research problems in pervasive computing.

Evolution & Related Fields Distributed systems

Arose at the intersection of personal computers and local area networks.

The research that followed from the mid-1970s through the early 1990s created a conceptual framework and algorithmic base that has proven to be of enduring value in all work involving two or more computers connected by a network — whether mobile or static, wired or wireless, sparse or pervasive.

Spans many areas that are foundational to pervasive computing (Figure 2).

Evolution & Related Fields Mobile computing

The appearance of full-function laptop computers and wireless LANs in the early 1990s led researchers to confront the problems that arise in building a distributed system with mobile clients. The field of mobile computing was thus born.

Many basic principles of distributed system design continued to apply.

Four key constraints of mobility forced the development of specialized techniques:

Unpredictable variation in network quality Lowered trust and robustness of mobile elements Limitations on local resources imposed by weight and

size constraints Concern for battery power consumption


Other related fields: Sensor networks

Human-computer interaction http://www.sigchi.org/

Artificial intelligence


Other related fields: Sensor Networks

A sensor network consist of a large number of tiny autonomous computing devices, each equipped with sensors, a wireless radio, a processor, and a power source.

Sensor networks are envisioned to be deployed unobtrusively in the physical environment in order to monitor a wide range of environmental phenomena (e.g., environmental pollutions, seismic activity, wildlife) with unprecedented quality and scale.


Other related fields: Human Computer Interaction

HCI is the study of interaction between people (users) and computers.

A basic goal of HCI is to improve the interaction between users and computers by making computers more user-friendly and receptive to the user's needs.

A long term goal of HCI is to design systems that minimize the barrier between the human's cognitive model of what they want to accomplish and the computer's understanding of the user's task.


Other related fields: Artificial Intelligence

AI can be defined as intelligence exhibited by an artificial (non-natural, manufactured) entity.

AI is studied in overlapping fields of computer science, psychology and engineering, dealing with intelligent behavior, learning and adaptation in machines, generally assumed to be computers.

Research in AI is concerned with producing machines to automate tasks requiring intelligent behavior.



Problem Space

Pervasive computing incorporates four additional research thrusts: Effective use of smart spaces

Invisibility

Localized scalability

Masking uneven conditioning

Problem Space

Effective use of smart spaces By embedding computing infrastructure in

building infrastructure, a smart space brings together physical and virtual worlds that have been disjoint until now.

The fusion of these worlds enables sensing and control of one world by the other.

Automatic adjustment of heating, cooling, and lighting levels in a room based on an occupant’s electronic profile.

Problem Space

Invisibility The ideal expressed by Weiser is

complete disappearance of pervasive computing technology from a user’s consciousness (minimal user distraction).

If a pervasive computing environment continuously meets user expectations and rarely presents him with surprises, it allows him to interact almost at a subconscious level.

Problem Space Localized scalability

As smart spaces grow in sophistication, the intensity of interactions between a user’s personal computing space and his/her surroundings increases.

This has severe bandwidth, energy, and distraction implications for a wireless mobile user.

The presence of multiple users will further complicate this problem.

Good system design has to achieve scalability by severely reducing interactions between distant entities.

Problem Space Masking un-even conditioning

Huge differences in the “smartness” of different environments — what is available in a well-equipped conference room, office, or classroom may be more sophisticated than in other locations.

This large dynamic range of “smartness” can be jarring to a user, detracting from the goal of making pervasive computing technology invisible.

One way to reduce the amount of variation seen by a user is to have his/her personal computing space compensate for “dumb” environments.

Problem Space

Design and implementation problems in pervasive comp. User intent

Cyber foraging

Adaptation strategy

High-level energy management

Client thickness

Context awareness

Balancing proactivity and transparency

Privacy and trust

Problem Space

User intent For proactivity to be effective, it is crucial that a

pervasive computing system track user intent. Otherwise, it will be almost impossible to determine which system actions will help rather than hinder the user.

For example, suppose a user is viewing video over a network connection whose bandwidth suddenly drops. Should the system:

Reduce the fidelity of the video?

Pause briefly to find another higher-bandwidth connection?

Advise the user that the task can no longer be accomplished?

The correct choice will depend on what the user is trying to accomplish.

Problem Space

Cyber foraging (also called “living off the land”) The idea is to dynamically augment the computing

resources of a wireless mobile computer by exploiting wired hardware infrastructure.

As computing becomes cheaper and more plentiful, it makes economic sense to “waste” computing resources to improve user experience.

In the forseeable future, public spaces such as airport lounges and coffee shops will be equipped with compute servers or data staging servers for the benefit of customers, much as table lamps are today. (Today, many shopping centers and cafeterias offer their customers free wireless internet access.)

Problem Space

Adaptation strategy Adaptation is necessary when there is a significant

mismatch between the supply and demand of a resource (e.g. wireless network bandwidth, energy, computing cycles or memory).

There are three alternative strategies for adaptation in pervasive computing:

A client can guide applications in changing their behavior so that they use less of a scarce resource. This change usually reduces the user-perceived quality, or fidelity, of an application.

A client can ask the environment to guarantee a certain level of a resource (reservation-based QoS systems). From the viewpoint of the client, this effectively increases the supply of a scarce resource to meet the client’s demand.

A client can suggest a corrective action to the user. If the user acts on this suggestion, it is likely (but not certain) that resource supply will become adequate to meet demand.

Problem Space

High-level energy management Sophisticated capabilities such as proactivity and self-

tuning increase the energy demand of software on a mobile computer in one’s personal computing space.

Making such computers lighter and more compact places severe restrictions on battery capacity, requiring advance energy efficient memory management.

One example is energy-aware memory management, where the operating system dynamically controls the amount of physical memory that has to be refreshed.

Another example is energy-aware adaptation, where individual applications switch to modes of operation with lower fidelity and energy demand under operating system control.

Problem Space

Client thickness (hardware capabilities of the client) For a given application, the minimum acceptable thickness

of a client is determined by the worst-case environmental conditions under which the application must run satisfactorily.

A very thin client suffices if one can always count on high-bandwidth low-latency wireless communication to nearby computing infrastructure, and batteries can be recharged or replaced easily.

If there exists even a single location visited by a user where these assumptions do not hold, the client will have to be thick enough to compensate at that location.

This is especially true for interactive applications where crisp response is important.

Problem Space

Context awareness A pervasive computing system must recognize

user’s state and surroundings, and must modify its behavior based on this information.

A user’s context can be quite rich, consisting of attributes such as physical location, physiological state (e.g., body temperature and heart rate), emotional state (e.g., angry, distraught, or calm), personal history, daily behavioral patterns, and so on.

If a human assistant were given such context, he or she would make decisions in a proactive fashion, anticipating user needs.

In making these decisions, the assistant would typically not disturb the user at inopportune moments except in an emergency.

A pervasive computing system should emulate such a human assistant.

Problem Space

Balancing proactivity and transparency Unless carefully designed, a proactive system can

annoy a user and thus defeat the goal of invisibility.

A mobile user’s need and tolerance for proactivity are likely to be closely related to his/her level of expertise on a task and familiarity with his/her environment.

A system that can infer these factors by observing user behavior and context is better positioned to strike the right balance.

For transparency, a user patience model can be implemented to predict whether the user will respond positively to a fetch request. So the user interaction is suppressed and the fetch is handled transparently.

Problem Space

Privacy and trust As a user becomes more dependent on a pervasive

computing system, it becomes more knowledgeable about that user’s movements, behavior patterns and habits.

Exploiting this information is critical to successful proactivity and self-tuning (invisibility), but also may cause serious loss of privacy.

User must trust the infrastructure to a considerable extent and the infrastructure needs to be confident of the user’s identity and authorization level before responding to his/her requests.

It is a difficult challenge to establish this mutual trust in a manner that is minimally intrusive and thus preserves invisibility.



Example Projects

After a decade of hardware progress, many critical elements of pervasive computing that were exotic in 1991 are now viable commercial products: Handheld and wearable computers;

Wireless LANs;

Devices to sense and control appliances.

We are now better positioned to begin the quest for Weiser’s vision.

Example Projects

Pervasive computing projects have emerged at major universities and in industry: Project Aura (Carnegie Mellon University)

Oxygen (Massachusetts Institute of Technology)

Portalano (University of Washington)

Endeavour (University of California at Berkeley)

Place Lab (Intel Research Laboratory at Seattle)

Example Projects : Project Aura (1)

Aura (Carnegie Mellon University) Distraction-free (Invisible) Ubiquitous

Computing.


Moore’s Law Reigns Supreme Processor density

Processor speed

Memory capacity

Disk capacity

Memory cost

...

Glaring Exception Human Attention

Adam & Eve 2000 AD

Human Attention

Example Projects : Project Aura (3) Aura Thesis:

The most precious resource in computing is human attention.

Aura Goals: Reduce user distraction.

Trade-off plentiful resources of Moore’s law for human attention.

Achieve this scalably for mobile users in a failure-prone, variable-resource environment.

Example Projects : Project Aura (4) The Airport Scenario

Jane wants to send e-mail from the airport before her flight leaves.

She has several large enclosures She is using a wireless interface

She has many options. Simply send the e-mail

Is there enough bandwidth?

Compress the data first Will that help enough?

Pay extra to get reserved bandwidth Are reservations available?

Send the “diff” relative to older file Are the old versions around?

Walk to a gate with more bandwidth Where is there enough bandwidth?

How do we choose automatically?


The Mobile Task Scenario

Aura saves Scott’s task. Scott enters office and gets strong

authentication and secure access. Aura restores Scott’s task on desktop

machine and uses a large display. Scott controls application by voice. Bradley enters room. Bradley gets weak authentication,

Scott’s access changes to insecure. Aura denies voice access to sensitive

email application. Scott has multi-modal control of

PowerPoint application. Aura logs Scott out when he leaves

the room.

Example Projects : Oxygen

Oxygen (MIT) Pervasive human-centered computing.

Goal of Oxygen is bringing abundant computation and communication, as pervasive and free as air, naturally into people's lives.

Example Projects : Oxygen (2) To support highly dynamic and varied human activities, the

Oxygen system must be

pervasive— it must be everywhere, with every portal reaching into the same information base;

embedded— it must live in our world, sensing and affecting it; nomadic— it must allow users and computations to move around

freely, according to their needs; adaptable— it must provide flexibility and spontaneity, in response to

changes in user requirements and operating conditions; powerful, yet efficient— it must free itself from constraints imposed by

bounded hardware resources, addressing instead system constraints imposed by user demands and available power or communication bandwidth;

intentional— it must enable people to name services and software objects by intent, for example, "the nearest printer," as opposed to by address;

eternal— it must never shut down or reboot; components may come and go in response to demand, errors, and upgrades, but Oxygen as a whole must be available all the time.

Related Projects: Portalano Portolano (University of Washington)

An expedition into invisible computing.

Expedition goals: Connecting the physical world to the world-wide information fabric

Instrument the environment: sensors, locators, actuators Universal plug-and-play at all levels: devices to services Optimize for power: computation partitioning, comm. opt. Intermittent communication: new networking strategies

Get computers out of the way Don’t interfere with user’s tasks Diverse task-specific devices with optimized form-factors Wide range of input/output modalities

Robust, trustworthy services High-productivity software development Self-organizing, active middleware, maintenance, monitoring Higher-level, meaningful services

Related Projects: Portalano (2) Scenario

Alice begins the day with a cup of coffee and her personalized newspaper.

When her carpool arrives, she switches to reading the news on her handheld display, where she notices an advertisement for a new 3-D digital camera.

It looks like something that would interest her friend Bob, so Alice asks her address book to place the call.

Related Projects: Portalano (3) Scenario (2)

Bob's home entertainment system softens the volume of his custom music file as his phone rings.

Alice begins telling Bob about the camera, and forwards him a copy of the advertisement which pops up on his home display.

Bob is sold on the product, and after hanging up with her, he asks his electronic shopping agent to check his favorite photography stores for the lowest price and make the purchase.

Related Projects: Portalano (4) Scenario (3)

When the camera arrives, Bob snaps some photos of his neighbor's collection of antique Portuguese navigation instruments.

After reviewing the photo album generated automatically by a web-based service, Bob directs a copy of his favorite image to the photo album folder.

He also sends a pointer to the photo album to Alice and instructs his scheduling agent to set up a lunch date so that he can thank her for the suggestion.

Example Projects : Endeavour

The Endeavour Expedition (UC Berkeley) Charting the Fluid Information Utility

Endeavour Goal: Enhancing human understanding through

the use of information technology.


Evolution & Related Fields Example Projects Other Scenarios References

Other Scenarios

Buy drinks by Friday (1) Take out the last can of soda

Swipe the can’s UPC label, which adds soda to your shopping list

Make a note that you need soda for the guests you are having over this weekend

http://en.wikipedia.org/wiki/Universal_Product_Code

Other Scenarios

Buy drinks by Friday (2) Approach a local supermarket

AutoPC informs you that you are near a supermarket

Opportunistic reminder: “If it is convenient, stop by to buy drinks.”

Other Scenarios

Buy drinks by Friday (3)- Friday rolls around and you

have not bought drinks

- Deadline-based reminder sent to your pager

Other Scenarios

Screen Fridge Provides:

Email

Video messages

Web surfing

Food management

TV

Radio

Virtual keyboard

Digital cook book

Surveillance camera

Other Scenarios

The Active Badge This inch-scale computer contains a small

microprocessor and an infrared transmitter.

The badge broadcasts the identity of its wearer and so can trigger automatic doors, automatic telephone forwarding and computer displays customized to each person reading them.

The active badge and other networked tiny computers are called tabs.

Other Scenarios

The Active Badge

Other Scenarios

Edible computers: The pill-cam Miniature camera

Diagnostic device

It is swallowed

Try this with an ENIAC computer!

Other Scenarios

Artificial Retina Direct interface

with nervous system

Whole new computational paradigm

Other Scenarios

Smart Dust Nano computers that

couple: Sensors

Computing

Communication

Grids of motes (“nano computers”)



References Mark Weiser, "The Computer for the Twenty-First Century," Scientific

American, pp. 94-10, September 1991. Wikipedia

Mark Weiser, Ubiquitous Computing, HCI, AI M.Satyanarayanan, “Pervasive Computing: Vision and Challenges”, IEEE

Personal Communications, August 2001. D.Saha, A.Mukherjee, “Pervasive Computing: A Paradigm for the 21st

Century”, IEEE Computer Society, March 2003. Roberto Siagri, Presentation of "Computer you can eat or Portable, High-

Performance Systems", Eurotech Spa, December 2004 Andrew C. Huang, Presentation of “Pervasive Computing: What is it good

for?”, August 1999 CMU Project Aura Web Site, http://www.cs.cmu.edu/~aura/ MIT Project Oxygen Web Site, http://oxygen.csail.mit.edu/ UW Project Portalano Web Site, http://portolano.cs.washington.edu/ UC Berkeley Project Endeavour, http://endeavour.cs.berkeley.edu/

Assignment # 3

Give Presentation on any of 5 projects discussed on Slide 35 and submit report in next classHighlight Unique aspectsComponents of the SystemOther Related projects

Questions???

Documents

Mobile and Pervasive Computing - 7 Projects for Groups Presented by: Dr. Adeel Akram University of Engineering and Technology, Taxila,Pakistan