Download Proactive Workload Management In Hybrid Cloud Computing

INTRODUCTION
• About Project:
• Our project is based of the technology of cloud computing which is offering many pro’s
to the world of computers.
• About cloud computing:
• Cloud computing is a technology that simply allows a client to access the
applications through internet, applications doesn’t have to get installed in the
system in order use it
• Cloud computing is very flexible and is ideal for businesses with growing demands
and productions, it makes things much easier
• to handle.
• often referred to as simply “the cloud,”
Proactive Workload Management In Hybrid Cloud Computing
• In the project our main aim is to prove that a
off premise cloud has greater
benefits and reliability than
• Any other
•
application services that are currently being offered
and our project can work for both public and private clouds in a server.
• We have designed our system in layout which will give the users information
about the domain choices they have
•
and to select which type of server they intend to use, it can be a public or a
private server
EXISTING SYSTEM
• It is much concentrated on only one of the requests handling capacity of either public cloud or private
cloud approach but it is recommended to take both of the clouds under one server only.
• When current IT systems evolve from the dedicated platform model to the shared platform model along
cloud computing trend, we believe a core technology component is needed in a flexible workload
management scheme working for both models that is in private and A.
Proactive Workload Management In Hybrid Cloud Computing
PROPOSED SYSTEM
• We have designed a system which proves that a off premise cloud is far better than all kinds of
application services
• And we can prove that the designed system works for both public and private clouds in a single
server.
• Also the confidentiality of server data is protected by allowing access to domains only after a
successful login.
Proactive Workload Management In Hybrid Cloud Computing
PROJECT SPECIFICATIONS
•
Front End
:
J2EE Version 5 or above, STRUTS
•
Back EAnd
:
MS SQL 2013
•
Operating System
:
Windows 10
•
IDE
:
Net Beans/Eclipse
MODULES
Self Service Authentication Access.
Multi Remark IT Control.
Intelligent Work Load Factoring.
Flash Crowd Load Infrastructure.
Standardized Service Delivery.
MODULE
Self Service Authentication Access
User Registration
User Login
Interaction
User Window
Data Base
Error Page
•IN THIS MODULE WE PLAN THE WINDOWS FOR THE VENTURE. THESE WINDOWS ARE UTILIZED TO COMMUNICATE SOMETHING SPECIFIC STARTING
WITH ONE COMPANION THEN ONTO THE NEXT. WE UTILIZE THE SWING BUNDLE ACCESSIBLE IN JAVA TO PLAN THE USER INTERFACE.
•APPLICATION USERS NEED TO SEE THE APPLICATION THEY HAVE TO LOGIN THROUGH THE USER INTERFACE. GUI IS THE MEDIA TO ASSOCIATE USER
AND MEDIA DATABASE AND LOGIN SCREEN WHERE CLIENT CAN INCLUDE HIS/HER CLIENT NAME, SECRET WORD AND WATCHWORD WILL CHECK IN
DATABASE, IF THAT WILL BE A SUBSTANTIAL USERNAME AND SECRET KEY THEN HE/SHE CAN GET TO THE DATABASE.
MODULE
Multi remark IT control
Login
Owner
Applying Credentials
database
Error Page
Privacy Concerns and owners Interest
Valid
Public Cloud
Private Cloud
Environment
Environment
Hybrid Cloud Management
invalid
• AT THE TIME SHARING RESOURCES, IT WILL CONTROL ALL KINDS OF REGARDING TO THE OFF PREMISE
CLOUD WHETHER IT IS PUBLIC OR PRIVATE CLOUDS WITHOUT HAVING ANY DEVIATIONS.
MODULE
Intelligent Work Load Factoring
Applying Credentials
Owner Login
Data Base
Error Page
Hybrid Cloud Management
Valid
invalid
Work Load Factoring with Multiple Managers
Manager1
Manager2
•THE PROPOSED MECHANISM IS TOTALLY RESOLVED ALL KIND OF ISSUES RELATED MECHANISMS BY USING THE INTELLIGENT
WORKLOAD FACTORING TO STORE ONE KIND OF DATA IN THEIR OWN RELATED ENVIRONMENT AND ANOTHER KIND OF DATA.
•THE DATA IS STORED IN THEIR RELATED ENVIRONMENT. BY THIS PROCESS WE CAN REDUCE THE WORKLOAD IN FURTHER.
MODULE -
FLASH CROWD LOAD INFRASTRUCTURE
•In Flash Crowd Load Infrastructure the major process takes place in allocating the
resources to the consumers from the providers through the cloud.
•So this module fulfills as it takes the number of queries from the number of consumers at
a time and it processes each and every request given by the user and is going to
identify the request.
•Each and every query is going to split as a number of keywords and based on that
keywords match, will analyze the resources what they are going to request further.
• We maintain separate local cache memory for the number of requests to reduce the
crowd load to the consumer requests.
Module -
Standardized Service Delivery
THIS IS THE LAST MODULE OF OUR UNDERTAKING AND IN THIS MONITORING OF CLOUD AND ADMINISTRATION CONVEYANCE
THE REAL ASSIGNMENT IS CENTRAL SIGNIFICANCE FOR BOTH CLOUD SERVICE PROVIDERS AND CLOUD SERVICE CONSUMERS.
•ON THE ONE SIDE, IT IS A KEY APPARATUS FOR CONTROLLING AND OVERSEEING ASSETS AND PROGRAMMING FRAMEWORKS;
ON THE OTHER SIDE, IT GIVES DATA AND KEY PERFORMANCE INDICATORS (KPI) FOR BOTH STAGES AND APPLICATIONS.
•THE CONSTANT CHECKING OF THE CLOUD AND SERVICE LEVEL AGREEMENTS (SLAS), FOR INSTANCE, AS FAR AS ACCESSIBILITY,
DEFERRAL, AND SO FORTH SUPPLIES BOTH THE PROVIDERS AND THE CUSTOMERS.
•DATA, FOR EXAMPLE, THE WORKLOAD CREATED BY THE EXECUTION AND QUALITY OF SERVICE (QOS) OFFERED THROUGH THE
CLOUD, LIKEWISE PERMITTING TO ACTUALIZE SYSTEMS TO ANTICIPATE OR RECUPERATE INFRINGEMENT, FOR BOTH THE PROVIDER
AND CONSUMERS.
•DISTRIBUTED COMPUTING INCLUDES NUMEROUS EXERCISES FOR WHICH OBSERVING IS A VITAL ERRAND.
USE CASE DIAGRAM
requests
resource sharing
client
login
cloud server
get response
CLASS DIAGRAM
STATE DIAGRAM
login
user
cloud
server
client1
client2
client3
DATA FLOW DIAGRAM
Level 0
Level 1
Client window
Client login
Error Page
Data Base
Client Window
Cloud Resource Management
Services
FeedBack Unit
Implementation of
Optimal resource
on cloud Data
SCREENSHOTS
CONCLUSION
• We exhibit the system of a distributed computing model which handles the situation when both public and
private servers are required to access by using cloud computing technique.
• With the proposed workload management technology, computing allows the users to create new
architectures and access information that is present in the public and private servers.
THANK YOU