公平的多方并发签名方案

Tonien等在ISC2006上首次提出了多方并发签名体制,但Xie和谭指出Tonien等的方案并不满足公平性,进而分别重新构造了多方并发签名方案。分别对Xie和谭的多方并发签名方案进行了分析,指出他们的方案也不满足公平性,进而正式定义了公平多方并发签名的安全模型,并基于双线性对及多方密钥协商技术重新构造了一个多方并发签名方案。分析表明,在随机预言模型下,假设CDH问题是难解的,新方案同时满足正确性、不可伪造性、模糊性、并发性和公平性,并且与同类方案相比,新方案在签名长度、计算量、通信代价方面效率较高。     

面向云计算环境的动态公平性度量方法

针对云计算环境资源动态性特点,给出了一种资源分配算法公平性动态度量模型——DFE (dynamic fairness evaluation)。模型引入了公平、效率和时间参数,通过将资源分配结果进行量化处理,定量地描述不同分配算法的公平性。首先考虑了云环境下的2种典型动态因素：1）节点资源需求动态变化;2）虚拟节点动态变化,并分别对这2种场景建立子模型,通过这2种模型导出了公平性动态度量模型DFE。分析了2种子模型以及DFE,通过DFE对几种典型资源分配算法进行度量,验证了在资源需求以及虚拟节点动态变化的情况下,DFE能够有效度量分配算法公平性,为云计算平台资源分配算法的选择提供了重要的参考。     

光无线混合宽带接入网QoS感知DBA算法

针对光无线混合宽带接入网的特点,提出一种考虑公平性的Qo S感知DBA算法(QDBA)。仿真结果表明:与已有算法相比,QDBA具有较高的吞吐量和较低的平均时延,同时具有更好的公平性和Qo S保障。     

联合处理中自适应调度算法研究

在新一代移动通信中,协作多点传输技术因其可以有效提高边缘用户性能而被广泛研究.对于协作多点传输来说,其核心思想是通过不同小区间协作来改变边缘用户的性能,从而提升系统性能.针对单用户多输入多输出的特点,本文是在经典调度算法的基础上改进了的自适应调度算法,此算法在每个时频资源块上灵活的选择较优的传输模式,从而增强系统性能.通过仿真表明了这种调度算法在保持较好公平性的同时,又可以很好的提升平均小区吞吐量和边缘用户频谱效率.     

Nash bargaining solution based multi-cell and multi-user interference alignment scheme for cellular networks

In wireless cellular networks, the interference alignment （IA） is a promising technique for interference management. A new IA scheme for downlink cellular network with multi-cell and multi-user was proposed, in the proposed scheme, the interference in the networks is divided into inter-cell interference （ICI） among cells and inter-user interference （IUI） in each cell. The ICI is aligned onto a multi-dimensional subspace by multiplying the ICI alignment precoding matrix which is designed by the singular value decomposition （SVD） scheme at the base station （BS） side. The aligned ICI is eliminated by timing the interference suppression matrix which is designed by zero-forcing （ZF） scheme at the user equipment （UE） side. Meanwhile, the IUI is aligned by multiplying the IUI alignment precoding matrix which is designed based on Nash bargaining solution （NBS） in game theory. The NBS is solved by the particle swarm optimization （PSO） method. Simulations show that, compared with the traditional ZF IA scheme, the proposed scheme can obtain higher data rate and guarantee the data rate fairness of UEs with little additional complexity.     

Uncertainty management: The influence of uncertainty salience on reactions to perceived procedural fairness.

On the basis of fairness heuristic theory, it is argued in this article that people especially need fairness when they are reminded about aspects of their lives that make them uncertain. It is therefore proposed that thinking about uncertainty should make fairness a more important issue to people. The findings of 3 experiments support this line of reasoning: Asking (vs. not asking) participants 2 questions that solicited their thoughts and feelings of being uncertain led to stronger effects of perceived procedural fairness on participants' affective reactions toward the way they were treated. It is argued that these findings suggest that fairness matters to people especially when they are trying to deal with things that make them uncertain. An implication of the current findings therefore may be that fairness is important to people because it gives them an opportunity to manage uncertain aspects of their lives. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Progress under bounded fairness

Summary. Progress is investigated for a shared-memory distributed system with a weak form of fault tolerance that allows processes to stop and restart functioning without notification. The concept of bounded fairness is introduced to formalize bounded delay under the assumption that each family of related processes continuously contains at least one active member. This is a generalization of wait-freedom, and also of a finitary form of weak fairness. Several useful proof rules are stated and proved. In a system with bounded fairness, a wait-free process can be constructed by forming a new process in which processes from the various families are scheduled in a round robin way. The theory is applied to prove progress within bounded delay for a linearizing concurrent data-object in shared memory. The safety properties of this algorithm have been treated elsewhere. Received: April 1998 / Accepted: March 1999     

When do procedural fairness and outcome fairness interact to influence employees’ work attitudes and behaviors? The moderating effect of uncertainty.

Prior research has shown that procedural fairness interacts with outcome fairness to influence employees’ work attitudes (e.g., organizational commitment) and behaviors (e.g., job performance, organizational citizenship behavior), such that employees’ tendencies to respond more positively to higher procedural fairness are stronger when outcome fairness is relatively low. In the present studies, we posited that people’s uncertainty about their standing as organizational members would have a moderating influence on this interactive relationship between procedural fairness and outcome fairness, in that the interactive relationship was expected to be more pronounced when uncertainty was high. Using different operationalizations of uncertainty of standing (i.e., length of tenure as a proxy, along with self-reports and coworkers’ reports), we found support for this hypothesis in 4 field studies spanning 3 different countries. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The role of authority power in explaining procedural fairness effects.

Building on fairness heuristic theory, fairness theory, and trust development models, we argue that unfairly enacted procedures decrease followers' trust in the authority particularly when authorities have high power over their followers. Moreover, we expected trust to mediate procedural fairness effects on followers' attitudes (authorities' legitimacy and charisma attributed to authorities) and organizational citizenship behavior. Procedural fairness effects on these variables, as mediated by trust, should therefore also be stronger when authority power is high. The results of a single- and multisource field study and a laboratory experiment supported these predictions. These studies support the role of authority power as a theoretically and practically relevant moderator of procedural fairness effects and show that its effectiveness is explained through trust in authorities. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Disgust selectively modulates reciprocal fairness in economic interactions.

We report two studies aimed at investigating the effects of distinct negative emotions on pairwise economic interactions. In the ultimatum game, a proposer offers a division of a sum of money to a responder who decides whether to accept the split, or reject and leave both players with nothing. In Experiment 1, we investigated whether induced disgust, as compared to sadness and neutral emotion, specifically influences responders' decisions to reject unfair proposals. In Experiment 2, we assessed whether the effects of disgust were selectively related to social contexts by contrasting interactions with a human partner with those involving a computer. Results showed that relative to being in a sad or neutral mood, induced feelings of disgust significantly increased rejection rates of unfair offers. Moreover, we found that when the partner was not responsible for the fairness violation, such as in the computer-offer condition, the disgust induction failed to affect participants' choices. We conclude by focusing on the hypothesis that disgust and social norm violations may share common computational components, both at a psychological and a neural level. (PsycINFO Database Record (c) 2010 APA, all rights reserved)