Optimizing Cloud Computing Workload Management

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 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 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 Proactive Workload Management In Hybrid Cloud Computing

PROJECT SPECIFICATIONS Front End Back EAnd Operating System IDE : J2EE Version 5 or above, STRUTS : MS SQL 2013 : Windows 10 : 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 Data Base User Window 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.

Multi remark IT control MODULE OwnerLogin Applying Credentials database Error Page Privacy Concerns and owners Interest Valid Public Cloud invalid Private Cloud Environment Environment Hybrid Cloud Management 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.

MODULEIntelligent 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 login client 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 Implementation of Optimal resource on cloud Data Error Page Cloud Resource Management Services Data Base Client Window FeedBack Unit

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