L1-Introduction to Cloud Computing.ppt

1. Amity Institute of Information Technology
Introduction to Cloud Computing
By
Amrit Thulal
Amity Institute of Information Technology
Amity University,
Uttar Pradesh

2. Amity Institute of Information Technology
Digital Marketing Overview
Course Objectives
Course Objectives: After finishing this course student will be
able to:
• Concepts and infrastructure of cloud computing and its
business applications.
• Critically appraise the opportunities and challenges of
information management in complex business environment.
• To use current techniques, skills, and tools necessary for Cloud
Applications.
• To understand the role and responsibilities of professional field,
how to deal with ethical, legal, security and social issues and
responsibilities related to cloud computing.
• To gain expertise in implementation and development of cloud
enabled businessapplication
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Syllabus
3
Weightage (%)
Module I: Introduction 20
Defining the cloud for the Enterprise: Database as a service,
Governance/Management as a service, Testing as a service, Storage
as a service , Cloud service development, Cloud Computing
Challenges Layersof Cloud Computing, types of cloud computing,
Cloud Computing Features, Cloud Computing Security requirements,
pros and cons, benefits
Module II:Cloud Computing For Everyone 25
Centralizing email communications, cloud computing for community
Collaborating on Schedules, Collaborating on GroceryLists,
Collaborating on ToDoLists Collaborating on ContactLists,
Collaboratingon schedules, collaborating on group projects and
events, cloud computing for corporation, mapping, schedules
managing projects, Collaborating on Marketing Materials,
Collaboratingon Expense Reports, Collaborating on Budgets,
Collaborating on Financial Statements, Presenting on the Road,
Accessing Documents on the Road.

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Syllabus
4
Weightage (%)
Module III: Brining Governance to the clouds 15
People and processes, Governance for the clouds, Creating the Governance
model: Define Polices, design Polices, Implement policies, Governance
technology.
Module IV:Working from your Services to Clouds andCloud Services 25
Descriptors/Topics Descriptors/Topics
Defining MetaServices and Service, Creating the service directory,
Collaborating on calendars, Schedules and task management, exploring on
line scheduling and planning, collaborating on event management,
collaborating on contact management, collaborating on project management,
collaborating on word processing, spreadsheets, and databases.
Module V:Outside Cloud Storing and Sharing 15
Evaluating on line file storage ,Evaluating web conference tools ,Evaluating
web mail services, Evaluating instant messaging, creating groups onsocial
networks, Evaluating on linegroupware, collaborating viablogs and wikis
,Understanding cloud storage, exploring on line book marking services,
exploring on line photo editing applications, exploring photo sharing
communities, controlling it with web based desktops.

5. Amity Institute of Information Technology
GRADE ‘A’ ACCREDITED BY NAAC AUUP HQ
Amity Institute of Information Technology
• Pedagogy for Course Delivery:
• lectures in blended/flipped mode
• Assignments and Tutorials for continuous assessment
• Lab Assignments: NA
5
Pedagogy

6. Amity Institute of Information Technology
GRADE ‘A’ ACCREDITED BY NAAC AUUP HQ
Amity Institute of Information Technology
6
Self-
Work 1
Self-Work/ Professional Skill Development activities can be
conducted by dividing the class into group of 7-8 students and
same will be evaluated by board of faculty members along with
the group report. Some of the suggested activities are:
1. Theoretical understanding of data ware housing and cloud
computing services
2. Learning factor and dimension, data extraction with OLAP
operations
3. Describe the architecture of data warehouse and construction
of Data Warehouses and Data Marts
4. Design the diagram of data warehouse with proper example
Self-
Work2
1. Learn the different type of data mining and knowledge
2. Learning of different kind of CRM and its process
3. Describe the different kind of data mining application such as
fraud detection, data analytics in health care, banking and
finance, telecom, ecommerce, etc.

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Assessment
7
L T P/S SW/FW TOTAL
CREDIT
UNITS
2 0 0 2 3

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Assessment/ Examination Scheme:
8
Theory L/T (%) Lab/Practical/S
tudio (%)
End Term
Examination
100 NA 100
Continuous Assessment/Internal Assessment End Term
Examination
Components
(Drop down)
Attendance Class Test Assignment Case Study
Weightage
(%)
5 10 15 10 60

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Text & References
• Michael Miller, “Cloud Computing”, Pearson Education, New Delhi, 2009.
• David S. Linthicum,” Cloud computing and SOA Convergence in your
Enterprise.
• Greg Schulz 2011, Cloud and Virtual Data Storage Networking, Auerbach
Publications [ISBN: 978-1439851739]
• EMC, Information Storage and Management [ISBN: 978-0470294215]
• Klaus Schmidt, High Availability and Disaster Recovery [ISBN: 978-
3540244608
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Operating System
• An Operating System (OS) is an interface between a computer
user and computer hardware. An operating system is a software
which performs all the basic tasks like file management,
memory management, process management, handling input and
output, and controlling peripheral devices such as disk drives
and printers.
• Some popular Operating Systems include Linux Operating
System, Windows Operating System, VMS, OS/400, AIX,
z/OS, etc.
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Functions of an operating System
• Memory Management
• Processor Management
• Device Management
• File Management
• Security
• Control over system performance
• Job accounting
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Distributed Operating System
• Multiple central processors are used by Distributed systems to
serve multiple real-time applications and multiple users.
Accordingly, Data processing jobs are distributed among the
processors.
• Processors communicate with each other through various
communication lines (like high-speed buses or telephone lines).
These are known as loosely coupled systems or distributed
systems. Processors in this system may vary in size and
function. They are referred as sites, nodes, computers, and so
on.
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DBMS
• Database Management System or DBMS in short refers to
the technology of storing and retrieving users data with utmost
efficiency along with appropriate security measures. This
tutorial explains the basics of DBMS such as its architecture,
data models, data schemas, data independence, E-R model,
relation model, relational database design, and storage and file
structure and much more.
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Characteristics of DBMS
• Real-world entity − A modern DBMS is more realistic and uses real-world entities to design
its architecture. It uses the behavior and attributes too. For example, a school database may use
students as an entity and their age as an attribute.
• Relation-based tables − DBMS allows entities and relations among them to form tables. A
user can understand the architecture of a database just by looking at the table names.
• Isolation of data and application − A database system is entirely different than its data. A
database is an active entity, whereas data is said to be passive, on which the database works
and organizes. DBMS also stores metadata, which is data about data, to ease its own process.
• Less redundancy − DBMS follows the rules of normalization, which splits a relation when
any of its attributes is having redundancy in values. Normalization is a mathematically rich and
scientific process that reduces data redundancy.
• Consistency − Consistency is a state where every relation in a database remains consistent.
There exist methods and techniques, which can detect attempt of leaving database in
inconsistent state. A DBMS can provide greater consistency as compared to earlier forms of
data storing applications like file-processing systems.
• Query Language − DBMS is equipped with query language, which makes it more efficient to
retrieve and manipulate data. A user can apply as many and as different filtering options as
required to retrieve a set of data. Traditionally it was not possible where file-processing system
was used. 14

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Characteristics and applications of
DBMS
• ACID Properties − DBMS follows the concepts of Atomicity, Consistency, Isolation, and Durability
(normally shortened as ACID). These concepts are applied on transactions, which manipulate data in
a database. ACID properties help the database stay healthy in multi-transactional environments and in
case of failure.
• Multiuser and Concurrent Access − DBMS supports multi-user environment and allows them to
access and manipulate data in parallel. Though there are restrictions on transactions when users
attempt to handle the same data item, but users are always unaware of them.
• Multiple views − DBMS offers multiple views for different users. A user who is in the Sales
department will have a different view of database than a person working in the Production
department. This feature enables the users to have a concentrate view of the database according to
their requirements.
• Security − Features like multiple views offer security to some extent where users are unable to access
data of other users and departments. DBMS offers methods to impose constraints while entering data
into the database and retrieving the same at a later stage. DBMS offers many different levels of
security features, which enables multiple users to have different views with different features. For
example, a user in the Sales department cannot see the data that belongs to the Purchase department.
Additionally, it can also be managed how much data of the Sales department should be displayed to
the user. Since a DBMS is not saved on the disk as traditional file systems, it is very hard for
miscreants to break the code.
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Distributed Database Management System
• Distributed DBMS Tutorial. Distributed Database Management
System (DDBMS) is a type of DBMS which manages a
number of databases hoisted at diversified locations and
interconnected through a computer network.
• It provides mechanisms so that the distribution remains
oblivious to the users, who perceive the database as a
single database.
•
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Functions of Distributed Database
1. Cataloguing
2. Data Recoverability
3. Security
4. Distributed Query Processing
5. Data Transaction Management
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Advantages of DDBMS
• They are cost-effective and can drastically reduce database management costs by a fraction.
This helps a lot of startups and cash strapped companies to invest in other technologies.
• It’s easily Scalable and therefore as the business grows, they can easily scale their distributed
system to handle an increased workload.
• The performance is drastically improved vis-a-vis a traditional single large computer system as
the data is located where the site has the greatest demand and the database systems can be
Parallelized allowing load distribution to be just and as per requirement.
• An Organization can better structure their various departments by better sorting of their
database systems where the data for a department is fragmented in their location.
• There can be a reliable transaction due to the replication of the database.
• Fault-tolerant and single site failure won’t affect the entire system.
• Local or central autonomy where there is greater flexibility with the organization and they can
choose who can access what data.
• It supports both OLTP and OLAP upon diversified systems that may have common data.
• Most organizations use various applications and with distributed systems, it’s robust enough to
use the same data under various applications.
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Disadvantages of DDBMS
• While it is economical to distributed systems, in the long run,
its installation can be expensive as it would need relatively high
resources to set up a distributed system effectively.
• The need for updating data on every site can sometimes affect
data integrity.
• The entire system can become unresponsive or slow if data is
not properly distributed and work is not handled correctly. This
again can also increase overheads as personnel would need to
be available to monitor the system constantly.
• Organizations wanting to convert from a centralized database
to distributed systems also might face problems due to lack of a
standard procedure as there are no tools or methodologies for
the same. 19

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Thank You