Let’s say you’re an executive at a large corporation. Your particular responsibilities include making sure that all of your employees have the right hardware and software they need to do their jobs. Buying computers for everyone isn’t enough – you also have to purchase software or software licenses to give employees the tools they require. Whenever you have a new hire, you have to buy more software or make sure your current software license allows another user. It’s so stressful that you find it difficult to go to sleep on your huge pile of money every night.
Soon, there may be an alternative for executives like you. Instead of installing a suite of software for each computer, you’d only have to load one application. That application would allow workers to log into a Web-based service which hosts all the programs the user who need for his job .Remote machines owned by another company would run everything from e-mail to word processing to complex data analysis programs. It’s called cloud computing, and it could change the entire computer industry.
Load balancing is a term that describes a method to distribute incoming socket connections to different servers. It’s not distributed computing, where jobs are broken up into a series of sub-jobs, so each server does a fraction of the overall work. It’s not that at all. Rather, incoming socket connections are spread out to different servers. Each incoming connection will communicate with the node it was delegated to, and the entire interaction will occur there. Each node is not aware of the other nodes existence.
Scalability:-
If your application becomes busy, resource limits, such as bandwidth, cpu, memory, disk space, disk I/O, and more may reach its limits. In order to remedy such problem, you have two options: scale up, or scale out. Load balancing is a scale out technique. Rather than increasing server resources, you add cost effective, commodity servers, creating a “cluster” of servers that perform the same task.
In this a node or a cluster can be added or removed remotely. If an extra node is added then load balancing of instances will take place. If any is deleted from a cluster then there will be live migration of instances from the deleted node to all other nodes in a cluster.
Scope:
- In this project we will use some frontend graphical user interface which will help to add or delete a node from cluster and at back the script will run which will actually do the scaling in cloud computing environment.
- In normal condition of additional resource request you need to restart the cloud service in order to scale it but our solution will provide the resource request facility on the fly i.e. dynamically.