@techreport{oai:ipsj.ixsq.nii.ac.jp:00234260,
 author = {Hiroki, Kashiwazaki and Hiroki, Kashiwazaki},
 issue = {23},
 month = {May},
 note = {When there is a group of computers under certain conditions, the OS running on these computers and the users operating on them generate certain computational processes, and there is a time constraint on the completion of these processes, it may not be possible to satisfy this constraint in terms of the number of computer resources or OS functions. In such cases, outsourcing the processing to other computers in the computer group may be an option to meet the time constraints. A centralized approach to outsourcing processing could be to constantly measure the amount of resources on all computers and networks to determine which computers to assign the processing that occurs. However, as the number of computers increases, the load on the server that measures the resources will increase, and the time required to contact the outsourcer will increase. Therefore, this paper proposes a decentralized approach to determine the outsourcing destination of processing. Through evaluation experiments, we will clarify the conditions under which the proposed approach is more efficient than the centralized approach., When there is a group of computers under certain conditions, the OS running on these computers and the users operating on them generate certain computational processes, and there is a time constraint on the completion of these processes, it may not be possible to satisfy this constraint in terms of the number of computer resources or OS functions. In such cases, outsourcing the processing to other computers in the computer group may be an option to meet the time constraints. A centralized approach to outsourcing processing could be to constantly measure the amount of resources on all computers and networks to determine which computers to assign the processing that occurs. However, as the number of computers increases, the load on the server that measures the resources will increase, and the time required to contact the outsourcer will increase. Therefore, this paper proposes a decentralized approach to determine the outsourcing destination of processing. Through evaluation experiments, we will clarify the conditions under which the proposed approach is more efficient than the centralized approach.},
 title = {Evaluation of decentralized resource allocation algorithms for the B5G era},
 year = {2024}
}