IT601 Final Term Slides by Phistanphobia

•  Grid computing takes many similar machines and manages them as a single unit.

Grid computing

•  To use the grid, a customer specifies how many machines are needed and which software package to run
•  The grid management system allocates the right number of machines, installs the software on them, and runs the software.
•  When the computation is done, the results are uploaded to a repository and the software is de-installed.
•  scheduling algorithm
•  grids are very controlled systems. All allocations are done though the grid management and scheduling system mcqs
•  Grid computing is more efficient than virtualization because it eliminates the virtualization overhead, which is typically a 5 to 10 percent reduction in performance.

Grid computing – Key Components and Benefits

•  Grids are easier to manage because what is done for one machine is done for all machines. They are fungible units i.e each one can substitute for the others. If one machine dies, the scheduler can replace it with another machine in the grid
•  Key Components
•  There is a lot of overhead in installing individual machines.
•  Each machine needs to be racked, connected to power, networked, and so on. Blade servers reduce this overhead by providing many servers in one chassis.

Blade servers

•  A blade server has many individual slots that take motherboards, called blades, that contain either a computer or storage.
•  Each blade can be installed quickly and easily because you simply slide a card into a slot.
•  There are no cables to connect; the blade’s connector conveys power, networking, and I/O connectivity.
•  Additional capacity is added by installing more blades, or replacing older blades with newer, higher-capacity models.
•  blade systems is that they are software configurable
•  Blade systems are most cost-effective