{"title":"CG-TTC:在点对点云联盟市场中用于资源共享的基于联盟游戏的方法","authors":"Parisa Khoshdel , Saeid Abrishami , Mehdi Feizi , Faeze Ramezani","doi":"10.1016/j.future.2025.108016","DOIUrl":null,"url":null,"abstract":"<div><div>In today’s fast-paced technological landscape, cloud federation has emerged as a groundbreaking solution, transforming the way businesses and organizations utilize cloud computing. Cloud federation involves collaboration among multiple Cloud Service Providers (CSPs), allowing them to share computational resources within a unified environment. However, creating a functional marketplace within a cloud federation poses a significant challenge, requiring providers to develop optimal strategies to maximize profitability. This paper addresses the challenge of forming effective federations, conceptualized as a cooperative game with transferable utility. The proposed framework focuses on providers with surplus resources coming together to form coalitions, thereby meeting the resource needs of other providers. To address this, the Coalitional Game-Top Trading Cycles (CG-TTC) mechanism has been introduced—a decentralized approach that uses the well-known Top Trading Cycle assignment algorithm to tackle coalition formation challenges. Importantly, the CG-TTC solution has been shown to be both <em>Pareto optimal</em> and <em>individually stable</em>, ensuring that providers have no incentive to leave their coalitions. Empirical results show that the CG-TTC mechanism improves profitability by up to 34% and enhances fairness by up to 32% compared to the Cloud Federation Formation Mechanism (CFFM).</div></div>","PeriodicalId":55132,"journal":{"name":"Future Generation Computer Systems-The International Journal of Escience","volume":"174 ","pages":"Article 108016"},"PeriodicalIF":6.2000,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CG-TTC: A coalitional game-based approach for resource sharing in a peer-to-peer cloud federation market\",\"authors\":\"Parisa Khoshdel , Saeid Abrishami , Mehdi Feizi , Faeze Ramezani\",\"doi\":\"10.1016/j.future.2025.108016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In today’s fast-paced technological landscape, cloud federation has emerged as a groundbreaking solution, transforming the way businesses and organizations utilize cloud computing. Cloud federation involves collaboration among multiple Cloud Service Providers (CSPs), allowing them to share computational resources within a unified environment. However, creating a functional marketplace within a cloud federation poses a significant challenge, requiring providers to develop optimal strategies to maximize profitability. This paper addresses the challenge of forming effective federations, conceptualized as a cooperative game with transferable utility. The proposed framework focuses on providers with surplus resources coming together to form coalitions, thereby meeting the resource needs of other providers. To address this, the Coalitional Game-Top Trading Cycles (CG-TTC) mechanism has been introduced—a decentralized approach that uses the well-known Top Trading Cycle assignment algorithm to tackle coalition formation challenges. Importantly, the CG-TTC solution has been shown to be both <em>Pareto optimal</em> and <em>individually stable</em>, ensuring that providers have no incentive to leave their coalitions. Empirical results show that the CG-TTC mechanism improves profitability by up to 34% and enhances fairness by up to 32% compared to the Cloud Federation Formation Mechanism (CFFM).</div></div>\",\"PeriodicalId\":55132,\"journal\":{\"name\":\"Future Generation Computer Systems-The International Journal of Escience\",\"volume\":\"174 \",\"pages\":\"Article 108016\"},\"PeriodicalIF\":6.2000,\"publicationDate\":\"2025-07-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Future Generation Computer Systems-The International Journal of Escience\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0167739X25003115\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, THEORY & METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Future Generation Computer Systems-The International Journal of Escience","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167739X25003115","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
CG-TTC: A coalitional game-based approach for resource sharing in a peer-to-peer cloud federation market
In today’s fast-paced technological landscape, cloud federation has emerged as a groundbreaking solution, transforming the way businesses and organizations utilize cloud computing. Cloud federation involves collaboration among multiple Cloud Service Providers (CSPs), allowing them to share computational resources within a unified environment. However, creating a functional marketplace within a cloud federation poses a significant challenge, requiring providers to develop optimal strategies to maximize profitability. This paper addresses the challenge of forming effective federations, conceptualized as a cooperative game with transferable utility. The proposed framework focuses on providers with surplus resources coming together to form coalitions, thereby meeting the resource needs of other providers. To address this, the Coalitional Game-Top Trading Cycles (CG-TTC) mechanism has been introduced—a decentralized approach that uses the well-known Top Trading Cycle assignment algorithm to tackle coalition formation challenges. Importantly, the CG-TTC solution has been shown to be both Pareto optimal and individually stable, ensuring that providers have no incentive to leave their coalitions. Empirical results show that the CG-TTC mechanism improves profitability by up to 34% and enhances fairness by up to 32% compared to the Cloud Federation Formation Mechanism (CFFM).
期刊介绍:
Computing infrastructures and systems are constantly evolving, resulting in increasingly complex and collaborative scientific applications. To cope with these advancements, there is a growing need for collaborative tools that can effectively map, control, and execute these applications.
Furthermore, with the explosion of Big Data, there is a requirement for innovative methods and infrastructures to collect, analyze, and derive meaningful insights from the vast amount of data generated. This necessitates the integration of computational and storage capabilities, databases, sensors, and human collaboration.
Future Generation Computer Systems aims to pioneer advancements in distributed systems, collaborative environments, high-performance computing, and Big Data analytics. It strives to stay at the forefront of developments in grids, clouds, and the Internet of Things (IoT) to effectively address the challenges posed by these wide-area, fully distributed sensing and computing systems.