NEPHELE: EFFICIENT PARALLEL DATA PROCESSING IN THE CLOUD
#1

[attachment=14184]
1. INTRODUCTION
Present system of computing is perfectly proprietary in terms of hardware. You have to pay
for whatever resources you want to run your program. Nephele opens a new door towards the
concepts of clouding hardware resources. The proposed model suggests the possibility of
using a networked cluster of computers as a substitute for a supercomputer in terms of
processing and memory power. Depending on the availability of the system resources, the
server will distribute the work load among the networked computers to meet the required
throughput. The individual systems will then process the fragmented work using its own free
resources and in the end the server will club together all the processed fragmented outputs
and will provide the user the resultant output.
1.1. BACKGROUND
In the current scenario if we want to do the processing of a data we need to possess the
particular resources needed for the purpose. But this is acceptable only if the large amount of
data has to be processed daily. If the data processing is needed only to be one time then this can
cause a serious lose in the case of both money and resource. For companies that only have to
process large amounts of data on an irregular basis running their own data center is obviously not
an option. Instead, cloud computing has emerged as a promising approach to rent a large IT
infrastructure on a short-term pay-per-usage basis. By using this approach efficient management
of resources can be done. In the proposed system we are trying to implement such a system.
It will be easy to describe the proposed and existing systems with the help of two possible
examples. The two examples are not a choice of random but they do possess features like nondependency
and bulk hardware resources.
Consider the examples of:-
(1) Searching the biometric fingerprint data of a particular criminal with that of all citizens in
India.
(2) Compressing a high definition video or song of some large size.
As per the present situation the super computer of India, the PARAM series will take
weeks to perform such a searching. The same system can take hours to compress a high
definition video. If the same task is to be scheduled to a normal user computer it will need lakhs
and lakhs of rupees of up gradation in terms of memory and processing power up gradation.
In this project we consider compression and decompression as the task given by the client
as this task does not have any dependency. The sole system is based upon what is known as
cloud computing in the entire computer software industry. In the proposed system we utilize
dynamically allocable memory and processing efficiency. At end the system will benefit small
nonprofit motivated schools and cooperatives that need to process bulk data.
1.2. PROPOSED SYSTEM
We propose cloud computing as a solution for this ever incrementing resource needs. As
per the proposed scenario the resources in possession of a non-working or a less loaded computer
can be used from anywhere in the home network.
Cloud computing describes computation, software, data access, and storage services that do not
require end-user knowledge of the physical location and configuration of the system that delivers
the services. Parallels to this concept can be drawn with the electricity grid where end-users
consume power resources without any necessary understanding of the component devices in the
grid required to provide the service.
Cloud computing is a natural evolution of the widespread adoption of virtualization, serviceoriented
architecture, autonomic and utility computing. Details are abstracted from end-users,
who no longer have need for expertise in, or control over, the technology infrastructure "in the
cloud" that supports them.
Cloud computing describes a new supplement, consumption, and delivery model for IT services
based on Internet protocols, and it typically involves provisioning of dynamically scalable and
often virtualized resources. It is a byproduct and consequence of the ease-of-access to remote
computing sites provided by the Internet. This frequently takes the form of web-based tools or
applications that users can access and use through a web browser as if it was a program installed
locally on their own computer.
The National Institute of Standards and Technology (NIST) provide a somewhat more objective
and specific definition:
"Cloud computing is a model for enabling convenient, on-demand network access to a shared
pool of configurable computing resources (e.g., networks, servers, storage, applications, and
services) that can be rapidly provisioned and released with minimal management effort or
service provider interaction."
The term "cloud" is used as a metaphor for the Internet, based on the cloud drawing used in the
past to represent the telephone network, and later to depict the Internet in computer network
diagrams as an abstraction of the underlying infrastructure it represents. Typical cloud
computing providers deliver common business applications online that are accessed from another
Web service or software like a Web browser, while the software and data are stored on servers.
Cloud Computing is Internet-based computing, whereby shared resources, software, and
information are provided to computers and other devices on demand, like the electricity grid.
The cloud is a metaphor for the Internet based on how the internet is described in computer
network diagrams; which means it is an abstraction hiding the complex infrastructure of the
internet. Cloud computing is a general concept that utilizes software as a service (SaaS), and
other technology trends, all of which depend on the Internet for satisfying users' needs. The
majority of cloud computing infrastructure currently consists of reliable services delivered
through data centers that are built on computer and storage virtualization technologies.
The services are accessible anywhere in the world, with The Cloud appearing as a single
point of access for all the computing needs of consumers. As customers generally do not own the
infrastructure or know all details about it, mainly they are accessing or renting, so they can
consume resources as a service, may be paying for what they do not need instead for what they
actually need to use. Many cloud computing providers have adopted the utility computing model
which is analogous to how traditional public utilities like electricity are consumed, while others
are billed on a subscription basis.
Reply
#2

to get information about the topic"NEPHELE: EFFICIENT PARALLEL DATA PROCESSING IN THE CLOUD" refer the page link bellow


http://studentbank.in/report-nephele-eff...4#pid61004
Reply
#3
source code pls ? mail @ pranavvenkat[at]yahoo.com
Reply
#4
Thanks fr explng existing & proposed s/m clearly. what is real time implementation for parallel data processing. In this project how to show data is processed parallely?this is doubt for me.
Reply
#5


to get information about the topic NEPHELE: EFFICIENT PARALLEL DATA PROCESSING IN THE CLOUD full report, ppt and related topic refer the page link bellow

http://studentbank.in/report-nephele-eff...-the-cloud
Reply

Important Note..!

If you are not satisfied with above reply ,..Please

ASK HERE

So that we will collect data for you and will made reply to the request....OR try below "QUICK REPLY" box to add a reply to this page
Popular Searches: matlab parallel processing code in vb, seminar topics on parallel processing, parallel processing in remote data sensing, efficient data processing in prallel cloud, literature survey for nephele framework project, parallel processing presentation for seminar free download, ppt on efficient parallel data processing in cloud,

[-]
Quick Reply
Message
Type your reply to this message here.

Image Verification
Please enter the text contained within the image into the text box below it. This process is used to prevent automated spam bots.
Image Verification
(case insensitive)

Possibly Related Threads...
Thread Author Replies Views Last Post
  A Link-Based Cluster Ensemble Approach for Categorical Data Clustering 1 1,063 16-02-2017, 10:51 AM
Last Post: jaseela123d
  Platform Autonomous Custom Scalable Service using Service Oriented Cloud Computing Ar 1 1,029 15-02-2017, 04:39 PM
Last Post: jaseela123d
  Cloud Computing with Service Oriented Architecture in Business Applications 1 891 15-02-2017, 11:55 AM
Last Post: jaseela123d
  Cloud Computing Security: From Single to Multi-Clouds 1 818 14-02-2017, 04:56 PM
Last Post: jaseela123d
  Exploiting the Functional and Taxonomic Structure of Genomic Data by Probabilistic To 1 750 14-02-2017, 04:15 PM
Last Post: jaseela123d
  An Efficient Algorithm for Mining Frequent Patterns full report project topics 3 4,714 01-10-2016, 10:02 AM
Last Post: Guest
  Remote Server Monitoring System For Corporate Data Centers smart paper boy 3 2,807 28-03-2016, 02:51 PM
Last Post: dhanabhagya
  Secured Data Hiding and Extractions Using BPCS project report helper 4 3,646 04-02-2016, 12:52 PM
Last Post: seminar report asees
  image processing projects ideas project topics 4 4,997 05-01-2016, 02:22 PM
Last Post: seminar report asees
  Data Hiding in Binary Images for Authentication & Annotation project topics 2 1,812 06-11-2015, 02:27 PM
Last Post: seminar report asees

Forum Jump: