Emerging Technology and Green Computing - Essay Example

One of the more recent technologies in this space is cloud computing. This allows large companies to distribute the costs of handling their data to a single company. This reduces the amount of data centers required to hold the numerous amounts of data. They also provide companies with the opportunity to consolidate their resources and hence minimize power usage and increase efficiency. One concern though that has been raised by this technology is the security of the data. This is from where there is an increased risk of the transfer of secure data from the companies to the data centers.

There is the virtualization of both software and hardware. A good example is the running of two or more logical computers from a single set of hardware. This leads to the consolidation of resources that increases the efficiencies of running computer systems (Soomro & Sarwar 2012 539). Software One of the software green computing technologies that are begin applied is the utilization of green scheduling techniques and green compilers. Green compilers work through various processes to analyze the programs that software is running on and then reshape the source code of the software.

They reshape the software by applying certain green aspects. A green scheduler on the hand works on how to allocate the resources to a program and how well to utilize these resources to make it more efficient. The concerns that are raised with these two modes of software engineering are that they require a balance between the efficiency and effectiveness of the machine (Fakha, Javed, Rasool, Malik & Zulfiqar 2012). Conclusion There have been great improvements in the making of green computing systems.

The current improvements are limited by the available hardware at the moment. It has been predicted that we are a few years away from deriving the maximum efficiency out of silicon-based chips. A better scheduler is also required to improve the efficiency and effectiveness of the various green compilers currently available. Intelligent systems Abstract Intelligent systems are commonly used to refer to systems with artificial intelligence. It is difficult to generally classify these but they can be broadly classed as diagnostic, knowledge, and expert.

All these different categories apply three basic principles that have various limitations. The major limitation is in the replication of human knowledge. This is a limitation that at present has greatly limited the development of artificially intelligent systems.