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Hub, repeater, switch, router, gateway, bridge

HUB Hub is a controller that controls the traffic on the network.  The following important properties of hub are:  1) It amplify signals. 2) It propagates signals through the network. 3) It does not require filtering. 4) It does not require path determination for switching. 5) It is used as network concentration points. Hubs are basically two types: 1) Active hub 2) Passive hub Active hub: A ctive hub works as repeater which is a hardware device that regenerates the received bit pattern before sending them out . Passive hub : A passive hub is a simple hardware device which provide a simple physical connection between the attached devices. Advantages of hub: It cannot filter the traffic full stop feeling generally refers to a process or device that screens network traffic for certain characteristics such as source address and destination address and protocol. Disadvantages of hub: On a hub, more than one user may try to send data on the netwo...
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Scheduling: Non-Preemptive Scheduling

Scheduling : In multi-programmed computer, multiple processes competing for the CPU at the same time. This situation occurs whenever two or more processes are simultaneously in the ready state. If only one CPU is available. Then we need a system that decide which process run first and then next and this will be done by the scheduler. Scheduler : scheduler is an operating system module that she loves an axe top to be admitted into the system and then the next process to run. Scheduling is of two type: 1) Pre-emptive 2) Non pre-emptive Non Pre-emptive Scheduling : In batch non Pre-emptive scheduling implies that, once scheduled, selected job runs to completion. In other words, the running process not forced to relinquish ownership of the processor when a higher priority process becomes ready for execution. The scheduling techniques which use non preemptive scheduling are: 1) first come first serve (FCFS) scheduling 2) shortest job next (SJN) scheduling 3) dea...
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Data Warehousing

  Data Warehouse is open to an almost limitless range of definitions. Simply put, data warehouses store and aggregation of a company's data. Data warehouses are an important asset for organisations to maintain efficiency, profitability and competitive advantages, organisations collect data through many sources- online, call centre, sales needs, inventory management. The data collected have degrees values and business relevance. Figure shown below shows the architecture of a typical data warehouse and illustrate the gathering of data, the storage of data, and the quaring and data analysis support. Different steps involved in getting data into a warehouse are called as extract, transform and lode or ELT tasks; extraction refers to getting data from the sources, while loaders reference to loading the data into data warehouse. Characteristics of data warehouse: Multidimensional conceptual view Generic dimensionality Unlimited dimensions and aggregation le...
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