Adaptive and Resilient Revenue Maximizing Dynamic Resource Allocation and Pricing for Cloud-Enabled IoT Systems

Cloud computing is becoming an essential component of modern computer and communication systems. The available resources at the cloud such as computing nodes, storage, databases, etc. are often packaged in the form of virtual machines (VMs) to be used by remotely located client applications for computational tasks. However, the cloud has a limited number of VMs available, which have to be efficiently utilized to generate higher productivity and subsequently generate maximum revenue. Client applications generate requests with computational tasks at random times with random complexity to be processed by the cloud. The cloud service provider (CSP) has to decide whether to allocate a VM to a task at hand or to wait for a higher complexity task in the future. We propose a threshold-based mechanism to optimally decide the allocation and pricing of VMs to sequentially arriving requests in order to maximize the revenue of the CSP over a finite time horizon. Moreover, we develop an adaptive and resilient framework based that can counter the effect of realtime changes in the number of available VMs at the cloud server, the frequency and nature of arriving tasks on the revenue of the CSP.Comment: American Control Conference (ACC 2018

Review-discussion: historical knowledge and historical narratives in the Severan period: Adam M. Kemezis, Greek Narratives of the Roman Empire under the Severans: Cassius Dio, Philostratus, and Herodian, Greek Culture in the Roman World

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An R Implementation of the Polya-Aeppli Distribution

An efficient implementation of the Polya-Aeppli, or geometirc compound Poisson, distribution in the statistical programming language R is presented. The implementation is available as the package polyaAeppli and consists of functions for the mass function, cumulative distribution function, quantile function and random variate generation with those parameters conventionally provided for standard univatiate probability distributions in the stats package in RComment: 9 pages, 2 figure

Conceptualising teachers' professional learning with Web 2.0

Purpose – This paper seeks to identify and develop an exploratory framework for conceptualising how teachers might use the affordances of Web 2.0 technologies to support their own professional learning. Design/methodology/approach – The paper draws on a large corpus of literature and recent research evidence to identify the principal elements and features of professional learning and the underlying affordances of Web 2.0 technologies and applications. It generates an exploratory conceptual framework based on the emerging findings from this review using a socio‐cultural theoretical perspective. The framework is explored through three individual illustrations which are drawn from a much larger case study which the author is undertaking within a newly established Academy in the North of England. Findings – The findings indicate that there is potential value in exploring professional learning with Web 2.0 technologies in the ways described. The framework offers an exploratory instrument to examine how professional learning for teachers could be supported with Web 2.0 technologies in ways that might have significant benefits over traditional methods of continuing professional development (CPD). Originality/value – The potential value and affordances of Web 2.0 technologies for teachers' professional learning are largely unexplored and under‐theorised, and this work seeks to establish a framework for further discussion and empirical exploration

Barriers and solutions to innovation in teacher education

This article proposes how mobile technologies are being employed innovatively in teacher education across the European Union, contributing to an adjustment in teacher training models. It identifies various barriers and challenges to innovation and illustrates how teacher educators have addressed these in the first year of an Erasmus+ funded project

Toroidal Spiral Nambu-Goto Strings around Higher-Dimensional Black Holes

We present solutions of the Nambu-Goto equation for test strings in a shape of toroidal spiral in five-dimensional spacetimes. In particular, we show that stationary toroidal spirals exist around the five-dimensional Myers-Perry black holes. We also show the existence of innermost stationary toroidal spirals around the five-dimensional black holes like geodesic particles orbiting around four-dimensional black holes.Comment: 9 pages, 5 figure