The relationship of entropy‐related measures to money information
The specific purpose of this paper is to trace the development of entropy-related thought from its thermodynamic origins through its organizational and economic applications to its relationship to money information. That trace reveals that existing entropy measures are of states or changes in states that are caused by energy processes. We propose that entropy may as well be conceived as entropic process. The social emergent specific exchange value provides a metric by which entropic process may be quantified. The analysis connects the traditional state-oriented entropy measures to measures of entropic process in social systems. In doing so, the character of exchange-based societies and the function of money information within them are elaborated. Copyright © 2008 John Wiley & Sons, Ltd.
Criticality, Entropy and Conflict
Power‐law distributions are ubiquitous in the natural and social worlds and also characterize the intensity of intrastate conflicts. One of the most convincing approaches to explain the origin of power laws is the so‐called forest‐fire model, which is based on the notion of self‐organized criticality. In order to make this model more fruitful for social science, its components require a deeper theoretical specification. We turn to general systems theory and the conception of entropy (uncertainty, insecurity and disorder) and its conceptual complement, negentropy. We argue that intrastate conflict is an ‘eruptive’ form of ‘social fissioning’: an evolutionary mechanism whereby sharp friend–foe differences and rigid within‐group conformity are created, increasing the certainty of social interactions. In intrastate conflicts, the political system burdens the economic and cultural systems with entropy and extracts negentropy resources from them. This process is characterized by discontinuous outbursts of entropy, which collectively follow a power law. © 2018 John Wiley & Sons, Ltd.
A traffic scheduling framework in broadband wireless access systems
In this paper, we present a traffic scheduling framework for allocating the upstream channel bandwidth in broadband wireless access systems, where both voice and data applications are supported. Our traffic scheduling framework is aimed at supporting diverse QoS requirements and obtaining high utilization of the upstream bandwidth. It prioritizes traffic streams according to different classes of service, and provides fair access of bandwidth to the users. The presented framework consists of three algorithms: a calibration algorithm for the jittered constant bit rate (CBR) traffic, a scheduling algorithm for the jittered CBR traffic, and a scheduling algorithm for the unspecified bit rate traffic. The proposed algorithms are feasible when either the asynchronous transfer mode or multi-protocol label switching protocol is deployed at the network edge. Simulation results are presented to demonstrate the effectiveness of our algorithms in achieving high bandwidth utilization and the good traffic performance in terms of both cell loss ratio and mean queuing delay.