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Shvoong Home>Arts & Humanities>Innovative Computer Programming Summary

Innovative Computer Programming

Book Summary   by:rgiyer     Original Author: R.G. IyER
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Innovative Computer Programming R.G. Iyer Within the past two decades the development of raw computing power coupled with the proliferation of computer devices has grown at exponential rates. This phenomenal growth along with the advent of the Internet have led to a new age of accessibility - to other people, other systems, and most importantly, to information. This boom has also led to unprecedented levels of complexity. The simultaneous explosion of information and integration of technology into everyday life has brought on new demands for how people manage and maintain computer systems. Demand is already outpacing supply when it comes to managing complex, and even simple computer systems. Unfilled I/T jobs in the United States alone number in the hundreds of thousands. Even in uncertain economic times, demand for skilled I/T workers is expected to increase by over 100 percent in the next six years. As access to information becomes omnipresent through PC's, hand-held and wireless devices, the stability of current infrastructure, systems, and data is at an increasingly greater risk to suffer outages and general disrepair. IBM believes that we are quickly reaching a threshold moment in the evolution of the industry's views toward computing in general and the associated infrastructure, middleware, and services that maintain them. The increasing system complexity is reaching a level beyond human ability to manage and secure. This increasing complexity with a shortage of skilled I/T professionals points towards an inevitable need to automate many of the functions associated with computing today. Autonomic computing was conceived to lessen the spiraling demands for skilled I/T resources, reduce complexity and to drive computing into a new era that may better exploit its potential to support higher order thinking and decision making. Immediate benefits will include reduced dependence on human intervention to maintain complex systems accompanied by a substantial decrease in costs. Long-term benefits will allow individuals, organizations and businesses to collaborate on complex problem solving. Short-term I/T related benefitsSimplified user experience through a more responsive, real-time system. Cost-savings - scale to use. Scaled power, storage and costs that optimize usage across both hardware and software. Full use of idle processing power, including home PC's, through networked system. Natural language queries allow deeper and more accurate returns. Seamless access to multiple file types. Open standards will allow users to pull data from all potential sources by re-formatting on the fly. Stability. High availability. High security system. Fewer system or network errors due to self-healing. Long-term, Higher Order BenefitsRealize the vision of enablement by shifting available resources to higher-order business.
Embedding autonomic capabilities in client or access devices, servers, storage systems, middleware, and the network itself. Constructing autonomic federated systems. Achieving end-to-end service level management. Collaboration and global problem-solving. Distributed computing allows for more immediate sharing of information and processing power to use complex mathematics to solve problems. Massive simulation - weather, medical - complex calculations like protein folding, which require processors to run 24/7 for as long as a year at a time. Autonomic computing was conceived to lessen the spiraling demands for skilled I/T resources, reduce complexity and to drive computing into a new era that may better exploit its potential to support higher order thinking and decision making. Immediate benefits will include reduced dependence on human intervention to maintain complex systems accompanied by a substantial decrease in costs. Long-term benefits will allow individuals, organizations and businesses to collaborate on complex problem solving. Short-term I/T related benefitsplified user experience through a more responsive, real-time system. Cost-savings - scale to use. Scaled power, storage and costs that optimize usage across both hardware and software. Full use of idle processing power, including home PC's, through networked system. Natural language queries allow deeper and more accurate returns. Seamless access to multiple file types. Open standards will allow users to pull data from all potential sources by re-formatting on the fly. Stability. High availability. High security system. Fewer system or network errors due to self-healing. Long-term, Higher Order BenefitsRealize the vision of enablement by shifting available resources to higher-order business. Embedding autonomic capabilities in client or access devices, servers, storage systems, middleware, and the network itself. Constructing autonomic federated systems. Achieving end-to-end service level management. Collaboration and global problem-solving. Distributed computing allows for more immediate sharing of information and processing power to use complex mathematics to solve problems. Massive simulation - weather, medical - complex calculations like protein folding, which require processors to run 24/7 for as long as a year at a time.
Published: January 24, 2007   
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