Comparative study of Data

management for cloud computing deployment

By: Akanksha Chandel

The concept of ‘cloud computing’ is currently receiving considerable attention, both in the research and commercial arenas Cloud computing is the delivery of computing as a service rather than a product, whereby shared resources, software and information are provided to computers and other devices as a utility (like the electricity grid) over a network (typically the Internet).

In this paper we discuss the limitations and opportunities of deploying data management issues on these emerging cloud computing platforms.

We present a list of features that a DBMS designed for large scale data analysis tasks running on an Amazon-style offering should contain.

We thus express the need for a new DBMS, designed specifically for cloud computing environments.

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Data management applications are potential candidates for deployment in the cloud.

Cloud computing vendors typically maintain little more than the hardware, and give customers a set of virtual machines in which to install their own software.

Cloud-based DBMS are extremely scalable. They are able to handle volumes of data and processes that would exhaust a typical DBMS.

CLOUD BASED DATABASE MANAGEMENT SYSTEM…!

• We thus foreground a research objective for large scale data analysis in the cloud, showing why currently available systems are not ideally suited for cloud deployment, and arguing that there is a need for a newly designed DBMS, architected specifically for cloud computing platforms.

. Cloud computing is a subscription-based service where you can obtain networked storage space and computer resources. . There are different types of clouds that you can subscribe to depending on your needs. As a home user or small business owner, you will most likely use public cloud services.

Public Cloud - A public cloud can be accessed by any subscriber with an internet connection and access to the cloud space.

Private Cloud - A private cloud is established for a specific group or organization and limits access to just that group.

Cloud computing

• Community Cloud - A community cloud is shared among two or more organizations that have similar cloud requirements.

• Hybrid Cloud - A hybrid cloud is essentially a combination of at least two clouds, where the clouds included are a mixture of public, private, or community.

CLOUD CHARACTERISTICSCompute power is elastic, but only if workload is parallelizableAgilityCostReliabilityData is stored at an untrusted host. Data is replicated, often across large geographic distances

Data Management in the Cloud•Transactional data management:By “transactional data management”, we refer to the bread-and-butter of the database industry, databases that back banking, airline reservation, online e-commerce, and supply chain management applications. These applications typically rely on the ACID guarantees that databases provide, and tend to be fairly write

intensive.•Analytical data management:By “analytical data management”, we refer to applications that query a data store for use in business planning, problem solving, and decision support. Historical data along with data from multiple operational databases are all typically involved in the analysis.

COMPARE OF TRANSACTIONAL AND ANALYTICAL DATA MANAGEMENTTransactional data

management

Analytical data management

Shared-Nothing architecture

Typically not use in transactional

data management.

Shared-nothing architecture is a good

match for analytical data management.

ACID Property is Hard to maintain

in transactional data management.

ACID Property is not needed

Transactional database are

generally small system.

Analytical data management systems are

generally larger than transactional

systems.

There are enormous risks in

storing transactional data on an

untrusted host.

Particularly sensitive data can often be

left out of the analysis data management

system.

Conclusion and Future Work:In the contemporary scenario there is implicit need

for construction of a new database distinctively for clouds understanding its applications, need and compatibility…

Architecture which can detect and prevent the various threats, attacks and other security related issues which continuously depletes the efficiency and the productivity of the cloud that can be in the future a platform for cloud computing.

The next step is to propose a model for grid computing also.

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