I suggest you start by reading a good site on Grid computing. Personally I recommend Gridipedia. For example, as well as a good introduction, you can find read up on the business case behind it and see iti in action in the case study library they have: www.gridipedia.com
This is a home work my friend:)
supercomputers allows both parallel and distributed computing
Soft computing differs from conventional (hard) computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty, partial truth, and approximation. In effect, the role model for soft computing is the human mind.
Mobile Computing: In Mobile Computing, the user can move from onelocation to other and he can keep computing while moving.Portable computing: In Portable Computing, the user moves to otherlocation, connects his laptop to a port and the he performs computing.
Information can be defined as meaningful data. Computing can be the process of doing something with the data to produce information.
The difference between a super computer and a mini computer is in their computing power. A super computer has infinitely more computing power than a mini computer.
Grid Computing is a method of multiple computers working together to solve problems. Cloud Computing accesses the application through means of a service rather than a hard drive or storage utility.
sloth hacking
hardware, computing language
The ERP Software Blog has a helpful guide that distinguishes between cloud computing and virtualization. Tech Target is another website that breaks down the differences between virtualization, SaaS, and cloud computing.
Parallel computing involves breaking down a task into smaller parts that are executed simultaneously on multiple processors within the same system. Distributed computing, on the other hand, involves dividing a task among multiple independent computers connected through a network. The key difference lies in how the tasks are divided and executed. In parallel computing, all processors have access to shared memory, allowing for faster communication and coordination. In distributed computing, communication between computers is slower due to network latency. This difference impacts performance and scalability. Parallel computing can achieve higher performance for tasks that can be divided efficiently among processors, but it may face limitations in scalability due to the finite number of processors available. Distributed computing, on the other hand, can scale to a larger number of computers, but may face challenges in coordinating tasks and managing communication overhead.
Mobile computing simply means that computing tasks are performed outside the normal computing environment on a mobile computer (such as a laptop or notebook, or a PDA), rather than a computer that sits stationary on a desk in a room. Wireless computing means that data is sent from computer to computer through a wireless connection.