Energy efficiency and environmental consideration for green data centres

The advancement in information and communication technology based business and social practices in last few decades have transferred many, if not most, economies into e-economy and businesses into e-businesses. Technology has potential to create sustainable business and society both in grim and green economic times. Data centres are found major culprits in consuming too much energy in their overall operations and generating huge amount of CO2. This paper determines the properties and attributes of green IT infrastructures and provides ways for achieving green sustainable businesses. The proposed green IT attributes and characteristics using virtualization technology are very industrious and efficient for data centers to be more energy efficient and green, hence reducing the emission for greenhouse gases so that the overall effect on global warming can be reduced or even eliminated.

Selecting a mentor: guide for a Protégé

The development of entrepreneurial skills within the education system increases the possibility of producing more entrepreneurs in future. Many economists now believe that entrepreneurship plays an important role in economic growth of a country. Entrepreneurial education can be used as a mediation tool for impacting attitude of people towards entrepreneurship.A Mentor plays an important role in entrepreneurial development of an individual. It is a mentor who guide entrepreneur from conception of business to product development and business growth, but in order to provide mentoring a mentor need to have certain qualities and a proven track record. Select the right mentor is most important because a mentor who is incompatible with entrepreneur’s personality or requirement may cost entrepreneur the whole business. This research puts a light on subjective and objective qualities a mentor should possess and will provide a guideline to protégé regarding selection of appropriate mentor

Evaluating power efficient algorithms for efficiency and carbon emissions in cloud data centers: a review

A data center comprises of servers, storage devices, cooling and power delivery equipment to support other components, exchange data and information to provide general services such as software-as-a-service (SaaS), Platform-as-a-Service (PaaS)and Internet-as-a-Service (IaaS). Data center require massive amount of computational power to drive complex systems. In return these massive systems bring many challenges and concerns including power dissemination and environmental sustainability. Higher power demand in data centers and changes in computing technology together to maximize data center performance has led to deploying multitude methods to estimate power intensity. Energy cost increment, global economic downturn, and global warming and other concerns have resulted in new research in achieving power efficient data centers. The research proposed in this paper evaluates three task scheduling algorthms RASA, TPPC, and PALB to get the most energy efficient task scheduling algorithms to be used in data centers for measuring their performance and efficiency. The three algorithms are evaluated for performance using three parameters; power efficiency, cost effectiveness, and amount of CO2 emissions. On top of that data center location and climate conditions are also considered and analyzed as parameters as they directly effect the operating costs, the amount of power consumption and CO2 emission. To minimize the power wasted by data center cooling systems is directly related to data center location and climate change. CloudSim simulator is used to implement the algorithms on an IaaS cloud infrastructure, to calculate the power consumption, and to analyze each algorithm's behavior for different parameters. The results generated clearly shows tha TPPC is the most efficient algorithm due to less amount of power consumption and low volume of CO2 emission; However its implementation cost is bit higher compare to PALB and RASA

Virtualised load management algorithm to reduce CO2 emissions in the data centre industry

The environmental footprint of ICT continues to increase. Data centres are key contributors of greenhouse gas emissions that pollute the environment and cause global warming. All data centres are overwhelmed with numerous servers as the major components of processing. These servers and other equipment consume high amounts of power, thereby emitting CO2. In an average server environment, 30% of the servers are 'dead' and only consume energy, but such servers are not properly utilised, in which their utilisation ratios range from 5% to 10%. This paper proposes a new algorithm to manage and categorise the workload of different underutilised volume servers properly to increase their utilisation capacity. The proposed algorithm helps apply server consolidation methodology and increases the utilisation ratio of underutilised servers by up to 50%, thereby saving high amounts of power and reducing greenhouse gas emissions by up to 88%

Energy Efficiency and Environmental Considerations for Green Data Centres

The advancement in information and communication technology based businesses and social practices in last few decades have transformed many, if not most, economies into e-economy and businesses into e-businesses. Technology has the potential to create sustainable business and society both in grim and green economic times. Data centres are found major culprits in consuming too much energy in their overall operations and generating huge amount of CO2. This paper determines the properties and attributes of green IT infrastructures and provides ways for achieving green sustainable businesses. The proposed green IT attributes and characteristics using virtualisation technology are very industrious and efficient for data centres to be more energy efficient and green, hence reducing the emission of greenhouse gases so that the overall effect on global warming can be reduced or even eliminated

Green Information Technology (IT) framework for energy efficient data centers using virtualization

The increasing demand for storage, networking and computation has driven the escalation of large complex data centers, the massive server farms that run many of today’s Internet, financial, commercial and business applications. A data center can comprise many thousands of servers and can use as much energy as a small city. The massive amounts of computation power required to drive these server systems results in many challenges like energy consumption, emission of green house gases, backups and recovery issues, etc. The rising costs of oil and global warming are some of the biggest challenges of today’s world. The research proposed in this paper discusses how virtualization can be used to improve the performance and energy efficiency of data centers. To prove this work, Green Information Technology (IT) based framework is developed to seamlessly and securely divide data center components into different resource pools depending on different parameters like energy consumption ratio, utilization ratio, workloads, etc. The framework highlights the importance of implementing green metrics like power usage effectiveness (PUE) and data center effectiveness, and carbon emission calculator to measure the efficiency of data center in terms of energy utilization and carbon dioxide (CO2) emissions. The framework is based on virtualization and cloud computing to increase the utilization ratio of already installed servers from 10% to more than 50%

Measuring efficiency of tier level data centers to implement green energy efficient data centers

This paper highlights the importance of identifying and implementing Power Usage Effectiveness metrics for measuring the performance and efficiency of data center to accomplish cost and operational savings. The research highlighted in this paper emphasizes the importance of green data centers to meet business industry requirements and to reduce the effects of global warming. The results clearly indicate that there a strong need for the implementation of green metrics like power usage effectiveness as done in one of the tier level data center in Pakistan. The outcome from paper show that overall performance and efficiency of data center investigated was very poor due to the underutilization of installed equipments like servers. This measurement helps data center managers to implement green IT initiatives and techniques to improve performance of already installed components