The document elaborates on data storage and cloud computing, covering various types of storage systems and cloud services, including SaaS, PaaS, and IaaS. It discusses the challenges of data management, the characteristics of cloud services, and applications utilizing cloud storage. Additionally, it highlights key technologies like Amazon Dynamo and CouchDB, emphasizing the importance of efficient data processing for IT businesses.

1. DATA STORAGE AND CLOUD
COMPUTING
Under the Guidence : Mrs.N.Ruba
Name of the Student : N.Monisha, S.Mahalakshmi,
S.Kiruba
Register Number : CB17S 250394
Subject code : 16SMBECA 2:1
Class : III BCA-”A”
Batch : 2017-2020
Year : 2019 - 2020

2. UNIT-III
DATA STORAGE AND CLOUD COMPUTING

3. CONTENT
 Data storage
 Cloud storage
 Cloud storage from LANs to WANs
 Cloud computing services
 Cloud computing at work

4. DATA STORAGE
Data storage management tools:
• Storage management process
• Data storage challenges
• Massive data demand
• Performance barrier
• Power consumptions and cost
• Unified storage

5. FILE SYSTEM
• FATs file system
• NTFS
• Cloud file system
• Ghost file system
• Gluster file system
• Hadoop file system
• XtreemsFS
• Kosmos file system
• cloudFS

6. TYPES OF DATA STORES
Big table:
Big table is a compressed, high performance and
proprietary data storage system construct on google file
system, chubby lock services and a small number of other
google technologies.
Dynamo: A distributed storage system
Dynamo is a vastly offered, proprietary key values
structured storage system or a dispersed data store.

7. CLOUD STORAGE
• Most of the organizations in an effort to cut cost are switching
to taking cloud computing and cloud storage solutions.
• Predicting growth storage is not possible . IT organization has
to provide enough capacity for storing data that are generated.
• The abstract meaning for cloud is any to any connectivity
using network .The cloud abstraction acts as a base upon
which other features are built.

8. Data management for cloud storage
Cloud data management interfaces(CDMI):
• Cloud storage offerings are discovered by clients.
• Management of containers and the data
• Sync metadata with containers as objects.
Cloud storage requirements:
• Multi-tenancy
• Security

9. Secure transmission channel:
• Transport layer security
• Hypertext transfer protocol secure
• Private networks

10. CLOUD CHARACTERISTICS

11. DISTRIBUTED DATA STORAGE
• Amazon dynamo:
Amazon dynamo is a widely used key-value store. It is said to be
highly accessible for composing as opposed to reading, since
malfunction of composing inconveniences the end user of application.
• Couch DB:
CouchDB is a document oriented database server accessible by
REST API.s.

12. Four pillars of Data Management by Couch DB
Save
See
Share
Secure
• Thru dB:
Thru DB aspires to be universal in simplifying the
administration of the up-to-date data level.

13. • Indexing
• Caching
• Replication
• Backup
Reliable set of services:
Thrucene for indexing.
Throxy for partitioning and burden balancing.
Thrudoc for article storage

14. APPLICATION UTILIZING CLOUD STORAGE
• Online file storage
• Photo editing software.
• Digital video software.
• Twitter related applications.
• Creating Image album.
• Spreadsheets

15. • Web application for antivirus.
• Word processing application.
• Presentation software.
• Finding a way on the map
• E-commerce software.
• Miscellaneous applications.

16. CLOUD SERVICES
SAAS
PAAS
IAAS

21. OTHER CLOUD SERVICES
Storage as a
service(STaaS)
Database as a
service(DaaS)
Information as
a service(IaaS)

22. STORAGE AS A SERVICE
• Storage as a service is a methodology wherein large
organization leases their accessible storage space to a small
scale business or individuals.
• To encourage STaaS, vendors are aiming to reduce storage
space and plan for backups.
• Storage as a service is usually viewed as a good alternate for
SME/SMBs that needs initial investment and/or manpower to
their storage infrastructure.

23. DATABASE AS A SERVICE
• Today, for IT business, the basic and crucial topic is effective
data processing .
• DBaaS consigns the database program and its constituents as a
service. A service can be categorized as DBaaS when it
encounters .
• Service accessibility to the clientele on-demand.
• Pay-as-per-uses basis without any SLAs.
• Less responsibilities for the consumer.

24. INFORMATION AS A SERVICE
• For large IT organizations, data related to stakeholders and others
should be accurate.
• Due to heterogenous data formats batch processing and application
integration charges, there is an obstacle in the system to get
uninterrupted information.
• Distribute data over the organization as a distributed service .
• Create a single source of reality for foremost domains

26. CLOUD SERVICE DEVELOPMENT TOOL
• Application development using IDE:
Integrated development environment comprise of source codes,
automation experts and a debugger.
• Application using databases:
Most applications today need some sort of databases
connectivity/usage.

27. • Deploying application:
Cloud boasts an IaaS solution called Run@cloud ,which
presents all services needed to be established in the cloud ,free for
charge.
TWO PATH FOR DEVELOPMENT TOOL:
Cloud-first approach to Paas
Tool-first approach to Paas

28. MANAGEMENT SERVICES
• Collaborating event management
• Event and workflow management
• Advance registration
• Payment processing
• Contact management
• Budget management
• Post -event reporting and analysis
• Signup
• Acteva
• Event wax
• tendend

29. COLLABORATING PROJECT
MANAGEMENT
• Engineering and construction PM cloud.
• Information technology PM cloud.
• Research and development PM cloud
• Education PM cloud.
• Facilities global and interactive inventions at a reasonable
cost.
• Allows for global collaborations of contributions from the
around the globe.