Need of Green Computing
In a world where business is transacted 24/7 across every possible channel available, companies need to collect, store, track and analyze enormous volumes of data—everything from click data and event logs to mobile call records and more. But this all comes with a cost to both businesses and the environment. Data warehouses and the sprawling data centers that house them use up a huge amount of power, both to run legions of servers and to cool them. Here we present some notable areas of research in green computing:
There are lots of fundamental steps that can be taken to significantly decrease the power consumption and impact on environment.
i) Energy Consumption :
According to environmental protection agency around 30% to 40% of computers are kept ON during the weekends and even after office hours and around 90% of these computers remain idle. If we develop any application in green computing environment it will use optimal physical resources Computing .
ii) E-waste recycling:
E-waste it refers to electronic waste. E-waste recycling is the reuse and reprocessing of electrical and electronic equipment of any type that has been discarded. Some of common E-wastes include: home appliances such as televisions, air conditioners, electric cookers and heaters, information technology equipments such as computers, mobile phones, laptops, batteries, circuit boards, hard disks, and monitors among others; and other electronic utilities such as leisure, lighting, and sporting equipments. Recycling of e-waste is a growing trend and was initiated to protect human and environmental health mainly due to the widespread environmental pollution impacts of e-waste.
iii) Information Resource Tier Optimization: The information resource tier represents important data base management systems in the global computation world. General paradigms include databases, directories, file-systems, and flat files. It also includes the integration of different database structures so that different databases can be analyzed irrespective of their storing mechanisms and data structure.