The Effects of Initial Dividend Announcements on Security Returns- Further Evidence

Daniel Walz is an Assistant Professor of Business Administration at Trinity University. Kalyan K. Roy is an Assistant Professor of Business Administration at the University of Calcutta

The global subject of precarity

Peer reviewedPostprin

Elastic properties of mica-filled polyester resin composites

The elastic properties of mica-reinforced composites have been analysed in terms of the classical model of Voigt and Reuss. It has been shown that Hill's average based on these two models best represents the data. Over the range of volume fractions of mica studied, it is given by the equation Ec = ½VfEf + Em(1 + ½Vf2) where Ef is the effective value of reinforcement modulus, Vf is the volume fraction of the reinforcement phase and subscripts c, f and m refer to composite, reinforcement and matrix properties respectively

A pricing strategy for job allocation in mobile grids using a non-cooperative bargaining theory framework

Abstract Due to their inherent limitations in computational and battery power, storage and available bandwidth, mobile devices have not yet been widely integrated into grid computing platforms. However, millions of laptops, PDAs and other portable devices remain unused most of the time, and this huge repository of resources can be potentially utilized, leading to what is called a mobile grid environment. In this paper, we propose a game theoretic pricing strategy for efficient job allocation in mobile grids. By drawing upon the Nash bargaining solution, we show how to derive a unified framework for addressing such issues as network efficiency, fairness, utility maximization, and pricing. In particular, we characterize a two-player, non-cooperative, alternating-offer bargaining game between the Wireless Access Point Server and the mobile devices to determine a fair pricing strategy which is then used to effectively allocate jobs to the mobile devices with a goal to maximize the revenue for the grid users. Simulation results show that the proposed job allocation strategy is comparable to other task allocation schemes in terms of the overall system response time

A pricing strategy for job allocation in mobile grids using a non-cooperative bargaining theory framework

Due to the inherent limitations in computational, storage, battery power and wireless communications capability, mobile devices have not yet been widely integrated into the Grid computing platforms. However, given that millions of laptops, PDAs and other portable devices remain unused most of the time, this huge repository of resources can be potentially utilized leading to what is called a mobile grid environment. In this paper, we propose a game theoretic pricing strategy for efficient job allocation in mobile grids. By drawing upon the Nash bargaining solution, we show how to derive a unified framework for addressing such issues as network efficiency, fairness, utility maximization, and pricing. In particular, we characterize a two-player, non-cooperative, alternating-offer bargaining game between the Wireless Access Point Server and the mobile devices to determine a fair pricing strategy which is then used to effectively allocate jobs to the mobile devices with a goal to maximize the revenue for the grid users. Simulation results show that the proposed job allocation scheme is comparable to other load balancing schemes in terms of the overall system response time. Index Terms: Grid Computing, Mobile devices, Bargaining Theory, Non-Cooperative Games, Load Balancing

Enhancing Availability of Grid Computational Services to Ubiquitous Computing Applications

The Grid is an integrated infrastructure that can play the dual roles of a coordinated resource consumer as well as a donator in distributed computing environments. In a mobile grid environment, the Grid acts as a resource hungry consumer whereas in a ubiquitous computing environment, it has the inherent potential to provide services to applications. The enormous growth in the use of mobile and embedded devices in ubiquitous computing environment and their interaction with human beings, produces a huge amount of data that need to be processed efficiently anytime anywhere. However, such devices often have limited resources in terms of CPU, storage, battery power and communication bandwidth. Thus, there is a need to transfer ubiquitous computing application services to more powerful computational resources. In this paper, we investigate the use of the Grid as a candidate for provisionin