cloud computing is an convenient model for on demand, and access to
shared pool of resources (network, server, application). In distributed data processing multiple external customers are access some scalable information resources and capacities
service based on internet.
The main goal of Cloud Computing is moved in desktop computer to service based
platform. In this model, application and resource are provided to user in the form of website.
These services are provided may be low in cost, massively scalable, and on demand
Figure1: Basic Cloud Storage Model
1.2 REASON FOR ADAPTING CLOUD COMPUTING
On Demand Service
A consumer can be provision of computer capabilities, such as a server time and
network storage, as needed automatically without requiring human interaction with each service
Working from Anywhere
The cloud computing is a model driven methodology that provide configurable
computer resources over internet service.so these resources are accessed from
anywhere in the world.
Rapid Elasticity and Cost Saving
Cloud is provide rapidly scale in and out the resource quickly. The main aim of
cloud can be avoid capital and operational cost. Because it provides various pool of computer
1.3 USAGE OF CLOUD IN THE HOSPITAL
The hospital environment, have multiple computers can be used in medical rooms.
Each room needs proper network connection, proper hardware and software which is used to store, retrieve, upload the patient information or other medical data. Electronic Medical Report
contain overall history about patient.
Real time health records are generated. Each hospital must keep the medical records for
at least 15 years.
Cloud can increase demand of physicians time. Physicians are needed to access
the patient record in a remote way. So that doctors can access the patient record easily and verify
the patient situation.
Cloud can provide the better relationships between patient and doctor. In
healthcare service provider can be access complete patient information easy to through online.
The electronic medical report in used to reduce the repeat diagnostic tests, saving time, memory,
and patient stress.
Many organizations now using daily updatable or changeable data. Keep these data are
security and usability of cloud provide the environment to store data on different cluster.
Various organizations (e.g., Hospital authorities, industries and government organizations etc)
freeing person specific data, which called as private sensitive information. They provide
information of privacy of persons. The preserving privacy is protecting for individual’s sensitive
information on a public platform. Unluckily de-identification of persons even by neglecting
denotative identity like name, SSN, Voter Id number and license number. Data anonymization is
the best way to preserve privacy over the personal privacy sensitive information. The data
anonymization approach is very efficient technique but if the scalability of the data set like
private sensitive information is increased the anonymization technique fails to preserve privacy.
So scalable big data privacy preservation in cloud can be provided.
The purpose of this project is to develop an environment to provide privacy over the
personable sensitive data. The Major aim of the work is to develop a tool for patients to give
medical care providers more insight into your personal health information. Main aim of privacy
is provide secure data and for external knowledge. This application can helps to view the
patient’s health records only for authorized persons.