Consequently, current energy consumption models vary in terms of purposes, assumptions, application characteristics and environmental conditions, with possible overlaps between different research works. It is clear that the abstraction sacrifices, and usually does not need, the complete reflection of the reality to be modeled. Given the complexity and heterogeneity in Cloud computing scenarios, the modeling approach has widely been employed to investigate and analyze the energy consumption of Cloud applications, by abstracting real-world objects and processes that are difficult to observe or understand directly. We discuss algorithms to find a server peer which transfers file in a P2P overlay network. A client peer has to find a server peer in a set of server peers which holds a file so that the power consumption of the server is reduced. We discuss a model for power consumption of data transfer applications. A computer consumes the electric power to transfer a file to another computer depending on the bandwidth. In this paper, we consider a P2P system with data transfer application like the file transfer protocol (FTP). A peer-to-peer (P2P) system is another type of information system which is composed of a huge number of peer computers where various types of applications are autonomously performed. by turning off servers which are not required to execute requests from clients. There are many discussions on how to reduce the total power consumption of servers, e. A cloud computing system is composed of a huge number of server computers like google file systems.

Even in information systems, we have to reduce the total electrical power consumption. It is now critical to reduce the consumption of natural resources, especially petroleum to resolve air pollutions.

P2pover 4.35 full version