High power consumption is one of the major problem for the cloud service providers. Also high pow... more High power consumption is one of the major problem for the cloud service providers. Also high power consumption results in maximum amount of carbon-dioxide emission and this leads to environment pollution. Hence an efficient algorithm is used to optimize the cloud resources in Data Centers (DC). The main objective of this paper is to minimize the total power consumption of DC. Resource consolidation algorithm was used to maximize the resource utilization with minimum cost. Based on our experimental results our proposed algorithm reduces the power consumption, improves the resource utilization and also to reduce the user's cost. Minimum power consumption leads to minimum carbon dioxide emission which leads to attain environment sustainability.
In 2005, through inauguration of the annual AAAI General Game Playing Competition the artificial ... more In 2005, through inauguration of the annual AAAI General Game Playing Competition the artificial intelligence (AI) community was introduced to AI in computer games. Since then, the efforts have been made to make AI systems understand the rules of arbitrary computer games without any human help. This paper will introduce a new model based on neural networks and genetic algorithm concepts which has the potential to replace behavior tree model currently used by game developers for making AI systems. This model introduces the possibility for AI systems to be trained in the game instead of creating complex nested if-else tree to determine the next move. This adaptive learning approach for AI systems could potentially lead to development of more powerful and engaging AI systems known as Non playable characters in gaming industry. The model demonstrated in this paper is developed using Python 3 language and the game environment in which it is tested are developed in Python 3 environment as well.
High power consumption is one of the major problem for the cloud service providers. Also high pow... more High power consumption is one of the major problem for the cloud service providers. Also high power consumption results in maximum amount of carbon-dioxide emission and this leads to environment pollution. Hence an efficient algorithm is used to optimize the cloud resources in Data Centers (DC). The main objective of this paper is to minimize the total power consumption of DC. Resource consolidation algorithm was used to maximize the resource utilization with minimum cost. Based on our experimental results our proposed algorithm reduces the power consumption, improves the resource utilization and also to reduce the user's cost. Minimum power consumption leads to minimum carbon dioxide emission which leads to attain environment sustainability.
In 2005, through inauguration of the annual AAAI General Game Playing Competition the artificial ... more In 2005, through inauguration of the annual AAAI General Game Playing Competition the artificial intelligence (AI) community was introduced to AI in computer games. Since then, the efforts have been made to make AI systems understand the rules of arbitrary computer games without any human help. This paper will introduce a new model based on neural networks and genetic algorithm concepts which has the potential to replace behavior tree model currently used by game developers for making AI systems. This model introduces the possibility for AI systems to be trained in the game instead of creating complex nested if-else tree to determine the next move. This adaptive learning approach for AI systems could potentially lead to development of more powerful and engaging AI systems known as Non playable characters in gaming industry. The model demonstrated in this paper is developed using Python 3 language and the game environment in which it is tested are developed in Python 3 environment as well.
Uploads
Papers by r yamini