Hello everyone,
I want to thank you for, uh, joining me
on this, uh, journey through Cloud Computing Concepts.
This is the first part
of the Cloud Computing Concepts course,
which is a two part course.
Uh, this course here
is about the internals of cloud computing.
This means that we'll go underneath the hood
and look at the distributed systems concepts,
and the distributed algorithms,
and the distributed techniques,
that underlie today's cloud computing technologies.
This course is not about how to write cloud systems
or cloud applications.
There is a separate course,
uh, that's coming up, called Cloud Applications.
Uh, and, uh, this course is not about networking either,
in the cloud.
There's a separate course
called Cloud Networking that's coming up,
uh, that's about networking inside the Cloud.
Uh, both, uh, w-well all of these courses,
the Cloud Computing Concepts course, this course,
both parts, as well as, the Cloud Applications course
and the Cloud Networking course
are part of a Cloud Specialization,
which is being offered, uh, to students.
What we'll discuss in this cloud computing concepts course,
uh, both part one and part two is, uh,
three things.
Uh, concepts
that underlie today's cloud computing systems,
especially, distributed systems concepts.
Uh, techniques, uh, that are used, uh,
fairly widely, in a variety
of cloud computing systems today.
And we'll also, uh,
while discussing concepts and techniques, uh, look at, uh,
some facets and some aspects of industry systems
including open source systems,
uh, like Hadoop and NoSQL storage systems and many others.
So the cloud competing concepts course
is really a mix of distributed systems, uhh,
er, with a mix of distributed algorithms.
And both of these combined as applied, uh,
to cloud computing systems as they are today.
So what we'll discuss in this first part,
the first five week, uh,
part of the Cloud Computing Concepts course.
Eh, first we'll have an introduction to Clouds,
what they are,
why they are, the way they are.
Uh, we'll look at Mapreduce and Key-value stores,
uh, two of the, uh, emerging, subareas of cloud computing.
Then we look at some of the precursors,
previous generations of cloud computing systems,
like Peer-to-peer systems and Grids,
that, uh, are ancestors,
parents of, uh, today's cloud computing systems.
Then we'll, uh, go underneath the hood
and start to look at widely used algorithms,
for Gossip, Membership, Paxos for consensus,
uh, and also classical algorithms, including,
Time and Ordering, Snapshots, and, uh, Multicast.
Along the way, uh, in some weeks,
we'll have interviews with leading managers
and researchers from industry, as well as, academia,
uh, and I hope these will be interesting to you, as well.
The, um, uh,
the course is structured so that you can learn as you move along,
uh, so there are two home works,
uh, spread throughout the course,
uh, uh, as well as, a programming assignment.
The programming assignment is optional.
It involves, uh, writing code inside an emulator.
In the first part of C3, uh, course,
uh, you will be writing, uh, a membership protocol
inside an emulator that we will provide to you.
We'll provide you the template,
the C++ template and you can write it.
Again, the programming assignment is optional.
The two required, uh, portions of this course
are the two home works and the one final exam.
Well, cloud computing is an exciting area to be studying,
to be working in.
And, uh,
it is also a very dynamic and continuously changing area.
And that's what, uh,
that's part of what makes it exciting, as well.
I'm really looking forward to working with you
and interacting with you
as this course move al-moves along.
Uh, come join me as we start our tour of the cloud computing
concepts landscape.