东南大学学报（自然科学版）2017，Vol.47Issue(z1)：65-71,7.DOI:10.3969/j.issn.1001-0505.2017.S1.013
基于社交蜘蛛优化算法的园区移动社交云资源分配机制
Resource allocation mechanism in campus mobile social cloud based on social spider optimization algorithm
摘要
Abstract
To achieve the collaborative management of campus cloud resources and mobile cloud re-sources,a novel resource allocation mechanism in campus mobile social cloud based on social spider optimization algorithm is proposed.First,to ensure that the buyer and the seller can give a reasona-ble offering price and a asking price of resource,respectively,a dynamic game-based resource bid-ding strategy is used to determine the offering price and the asking price, further determining the transaction prices of mobile social cloud resources.Secondly,to reasonably and effectively allocate cloud resources as well as improve satisfaction of users, a novel cooperative resource allocation method based on social spider optimization algorithm is presented by combining campus cloud re-sources with mobile social cloud resources.Meanwhile, an optimization objective function is de-signed to achieve the optimal resource allocation solution according to the transaction prices.Simula-tion results show that the designed mechanism is better than efficient design of auction(EDA)mech-anism on resource success rate,price satisfaction and social satisfaction.关键词
移动社交云/园区云/动态博弈/社交蜘蛛优化算法Key words
mobile social cloud/campus cloud/dynamic game/social spider optimization algorithm分类
信息技术与安全科学引用本文复制引用
李雪,王兴伟,王学毅,黄敏..基于社交蜘蛛优化算法的园区移动社交云资源分配机制[J].东南大学学报（自然科学版）,2017,47(z1):65-71,7.基金项目
国家杰出青年科学基金资助项目(71325002)、国家自然科学基金资助项目(61572123)、教育部—中国移动科研基金资助项目(MCM20160201)、赛尔网络下一代互联网技术创新资助项目(NGII20150605). （71325002）
