90 likes | 220 Vues
Enterprise computing encompasses the networks and computing needs of large, dispersed corporations like Microsoft and IBM. This analysis focuses on aspects of system architecture, including hardware interfaces, network architecture, data redundancy, and the role of various devices within an enterprise setting. Understanding how different hardware architectures affect computing environments, as well as the necessity of redundancy to maintain operations during component failures, is critical to effective enterprise systems. This knowledge lays the foundation for robust data recovery and improved network behavior.
E N D
Enterprise ComputingWith Aspects of Computer Architecture Jordan Harstad Technology Support Analyst Arizona State University
What Is Enterprise Computing? • Networks and other computing needs implemented throughout a large, often widely dispersed corporation. Microsoft and IBM, for example, are enterprises; a small business is not.
Aspects • System Architecture • How different hardware architectures will affect a large computing environment. • Network Architecture • Data Redundancy • Coming Together • Concluding
System Architecture • Hardware Interfaces • Dual Core • 64-bit • Intel / AMD • SCSI / IDE / S-ATA • Software • Linux, Windows, etc… • Host or Node • What device should be a host and which a node? • Servers, workstations, printers, etc….
Network Architecture • Topology • The geographical aspect of networking. • Medium • How the devices will communication (ex: Ethernet, wireless, dial-up). • Nodes • What devices are contained within the network.
Data Redundancy • What is Data Redundancy? • The ability of a system to keep functioning normally in the event of a component failure, by having backup components that perform duplicate functions. • Why is redundancy needed? • Prevent the loss of data in the event of hardware or environment failure. • What should be redundant? • User files • Emails • System Logs • Etc…
Coming Together • System Architecture affects all aspects of Enterprise Computing. • Data Recovery • Network Behavior / Activities • Data Redundancy
Concluding • Large Form • Network Topology • Small Form • Computer Architecture • Hardware design, CPU cache, Data Register Count