these labors also might increase as a reflection to the growth of the region. Moreover, any time a company considers a capital investment projects in growing country, the country mostly try to reduce the costs of these projects that have an advantage when it comes to big projects such as building data centers. Chapter 3 The proposed Methodology The methodology of this project is different and has the combination of different factors form different datacenter’s owners around the world. For example, Intel has a range of factors to consider when choosing data center site [24]. Their factors are related to the physical capacity of the data center, such as, WAN infrastructure and availability of water for cooling the facility. Also, they consider other factors related to business operations of data center, such as, costs that are related to workforce, water, power or landscape. HP is another example of data center owner [25]. HP has its own approach when it comes to choosing data center site location. For example, HP considers the size, price and geographical quality of the land as the first subject, the availability of power and communication network in the region. Also, the cost of these operations is matter such as, electricity, water, networking access costs and the amount of the provided power and the chances to increase it. Also, HP considers free cooling is considerable factor that will help to reduce the cost of operations. Some methodologies have been published collecting data from different geographical locations. For example, Sanjay M. Parekh, Robert B. Friedman, Neal K. Tibrewala, and Benjamin Lutch have Google patent about using systems and methods for determining collection and using geographic locations of internet users [28]. M. Zennaro, E. Canessa, K.R. Sreenivasan , A.A. Rehmatullah, and R.L. Cottrell used Ping methodology and obtained data to quantify the difference in performance between developed and developing countries. They used Ping and Trace route as measurement tools targeting educational web services to obtain data [12].
these labors also might increase as a reflection to the growth of the region. Moreover, any time a company considers a capital investment projects in growing country, the country mostly try to reduce the costs of these projects that have an advantage when it comes to big projects such as building data centers. Chapter 3 The proposed Methodology The methodology of this project is different and has the combination of different factors form different datacenter’s owners around the world. For example, Intel has a range of factors to consider when choosing data center site [24]. Their factors are related to the physical capacity of the data center, such as, WAN infrastructure and availability of water for cooling the facility. Also, they consider other factors related to business operations of data center, such as, costs that are related to workforce, water, power or landscape. HP is another example of data center owner [25]. HP has its own approach when it comes to choosing data center site location. For example, HP considers the size, price and geographical quality of the land as the first subject, the availability of power and communication network in the region. Also, the cost of these operations is matter such as, electricity, water, networking access costs and the amount of the provided power and the chances to increase it. Also, HP considers free cooling is considerable factor that will help to reduce the cost of operations. Some methodologies have been published collecting data from different geographical locations. For example, Sanjay M. Parekh, Robert B. Friedman, Neal K. Tibrewala, and Benjamin Lutch have Google patent about using systems and methods for determining collection and using geographic locations of internet users [28]. M. Zennaro, E. Canessa, K.R. Sreenivasan , A.A. Rehmatullah, and R.L. Cottrell used Ping methodology and obtained data to quantify the difference in performance between developed and developing countries. They used Ping and Trace route as measurement tools targeting educational web services to obtain data [12].
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