I bumped into Internet of Things today and thus jumps in to understand what it is. With IoT, I can't help but see logs in a totally different paradigm.
2. Early Definition
Today computers—and, therefore, the Internet—are almost wholly dependent on
human beings for information. Nearly all of the roughly 50 petabytes (a petabyte is
1,024 terabytes) of data available on the Internet were first captured and created
by human beings—by typing, pressing a record button, taking a digital picture, or
scanning a bar code. Conventional diagrams of the Internet … leave out the most
numerous and important routers of all - people. The problem is, people have limited
time, attention and accuracy—all of which means they are not very good at
capturing data about things in the real world. And that's a big deal. We're physical,
and so is our environment … You can't eat bits, burn them to stay warm or put them
in your gas tank. Ideas and information are important, but things matter much
more. Yet today's information technology is so dependent on data originated by
people that our computers know more about ideas than things. If we had
computers that knew everything there was to know about things—using data they
gathered without any help from us—we would be able to track and count
everything, and greatly reduce waste, loss and cost. We would know when things
needed replacing, repairing or recalling, and whether they were fresh or past their
best. The Internet of Things has the potential to change the world, just as the
Internet did. Maybe even more so.[17]
—Kevin Ashton, 'That 'Internet of Things' Thing', RFID Journal, July 22, 2009
3. What is Internet of Things (IoT)?
Also known as Cloud of Things (CoT)
Wikipedia: interconnection of uniquely identifiable embedded
computing like devices with the existing internet infrastructure
In its original interpretation, one of the first consequences of
implementing the Internet of Things by equipping all objects in the
world with minuscule identifying devices or machine-readable
identifiers would be to transform daily life in several positive ways.[23][24]
Radio-frequency identification (RFID) was seen as a prerequisite for the
Internet of Things in the early days. If all objects and people in daily life
were equipped with identifiers, they could be managed and
inventoried by computers.[19][20] Besides using RFID, the tagging of things
may be achieved through such technologies as near field
communication, barcodes, QR codes and digital watermarking.[21][22]
4. What is so special about IoT?
Advantage Instant and ceaseless inventory control would become
ubiquitous
Explanation Person’s ability to interact with objects could be altered
remotely based on immediate or present needs, in accordance
with existing end-user agreements
Example Enables much more powerful control of content creators and
owners over their creations by better application of copyright
restrictions and digital restrictions management, so a customer
buying a Blu-ray disc containing a movie could choose to pay
a high price to be able to watch the movie for a whole year,
pay a moderate price and have the right to watch the movie
for a week, or pay a low fee every time she or he watches the
movie.
5. Applications of IoT
1. Environmental Monitoring
2. Infrastructure Management
3. Industrial Applications
4. Energy Management
5. Medical and Healthcare Systems
6. Building and Home Automation
7. Transport Systems
8. Large Scale Deployments
6. Unique addressability of things
Original idea of Auto-ID Center is based on RFID-tags and unique
identification through Electronic Product Code
However, this have evolved into objects having an IP address or URI
(uniform resource identifier)
From Semantics Web POV, all things(not just electronic, smart, or
RFID-enabled) addressable with existing naming protocols, such as
URI is part of IoT.
Next Gen. IPv6.
More information of IoT ubiquitous addressability ideas in
GSI/EPCglobal EPC Information Services (EPCIS) specifications
8. Trend and Characteristics
1. Intelligence
Ambient intelligence and autonomous control
Embedded intelligence – leverage the capacity to collect and analyze the
digital traces left by people when interacting with widely deployed smart
things
2. Architecture
Event-driven architecture
Actors are self-referenced, and only adapt to existing common standards if
ever needed
Predicting everything would be no more than defining a “global finality”
for everything that is just not possible with any of the current top-down
approaches and standardizations
Sensor networks may be the most essential components of the IoT
9. Trend and Characteristics
3. Complex System
Global finality can be settled for semi-open/closed loops (complex system)
Full open loop is a chaotic environment, not a system, since systems have
always finality
4. Size considerations
The Internet of objects, human beings surveyed in urban environments
each surrounded by 1000 to 5000 trackable objects
5. Time considerations
IoT is made of billions of parallel and simultaneous events, time is no more
used as a common and linear dimension but will depend on each entity
(object, process, information system, etc.).
IoT will be accordingly based on massive parallel IT systems (Parallel
computing). See logical clocks.
10. Trend and Characteristics
6. Space considerations
In IoT, the precise geographic location/dimension of a thing – will be critical
Currently mediated by humans whether to show or not the location in time
and space
If in IoT, things are able to take actions on their own initiatives, this human-
centric mediation role is eliminated, and the time-space context that we as
humans take for granted must be given a central role in this information
ecosystem.
Just as standards play a key role in the Internet and the Web, geospatial
standards will play a key role in the IoT.
7. A Basket of Remotes
Many IoT devices will appear in this huge market
“Basket of Remotes” problem – hundreds of applications to interface with
hundreds of devices that don’t share protocols for speaking with one
another
12. Internet of Things will revolutionized IT
“Will it be more efficient to have dumb sensors that simply transmit all
the data to a central server where a data warehouse can be built and
then apply the analytical capabilities there, or will it make sense to put
some intelligence at the periphery, in sensors, or nodes?”
Big Data Analytics will permeate IoT
“smart vs. dumb endpoint”
As the IoT takes shape, the notion of a totally “dumb” endpoint will
become antiquated. Before long, it will be difficult to find any
consumer, business, industrial or other device that totally lacks
embedded, data-driven analytic intelligence. What’s driving this trend
are the plummeting cost of solid-state storage, the inexorable
miniaturization of electronic components, and the embedding of
deeper analytic libraries in every device.
SMART PLANET