Mobile Crowd Sensing in Edge Computing Environment

abstract: The mobile crowdsensing (MCS) applications leverage the user data to derive useful information by data-driven evaluation of innovative user contexts and gathering of information at a high data rate. Such access to context-rich data can potentially enable computationally intensive crowd-sourcing applications such as tracking a missing person or capturing a highlight video of an event. Using snippets and pictures captured from multiple mobile phone cameras with specific contexts can improve the data acquired in such applications. These MCS applications require efficient processing and analysis to generate results in real time. A human user, mobile device and their interactions cause a change in context on the mobile device affecting the quality contextual data that is gathered. Usage of MCS data in real-time mobile applications is challenging due to the complex inter-relationship between: a) availability of context, context is available with the mobile phones and not with the cloud, b) cost of data transfer to remote cloud servers, both in terms of communication time and energy, and c) availability of local computational resources on the mobile phone, computation may lead to rapid battery drain or increased response time. The resource-constrained mobile devices need to offload some of their computation. This thesis proposes ContextAiDe an end-end architecture for data-driven distributed applications aware of human mobile interactions using Edge computing. Edge processing supports real-time applications by reducing communication costs. The goal is to optimize the quality and the cost of acquiring the data using a) modeling and prediction of mobile user contexts, b) efficient strategies of scheduling application tasks on heterogeneous devices including multi-core devices such as GPU c) power-aware scheduling of virtual machine (VM) applications in cloud infrastructure e.g. elastic VMs. ContextAiDe middleware is integrated into the mobile application via Android API. The evaluation consists of overheads and costs analysis in the scenario of ``perpetrator tracking" application on the cloud, fog servers, and mobile devices. LifeMap data sets containing actual sensor data traces from mobile devices are used to simulate the application run for large scale evaluation.Dissertation/ThesisDoctoral Dissertation Electrical Engineering 201

The Third NASA Goddard Conference on Mass Storage Systems and Technologies

This report contains copies of nearly all of the technical papers and viewgraphs presented at the Goddard Conference on Mass Storage Systems and Technologies held in October 1993. The conference served as an informational exchange forum for topics primarily relating to the ingestion and management of massive amounts of data and the attendant problems involved. Discussion topics include the necessary use of computers in the solution of today's infinitely complex problems, the need for greatly increased storage densities in both optical and magnetic recording media, currently popular storage media and magnetic media storage risk factors, data archiving standards including a talk on the current status of the IEEE Storage Systems Reference Model (RM). Additional topics addressed System performance, data storage system concepts, communications technologies, data distribution systems, data compression, and error detection and correction

Wastewater Management in Industrial Zones of the Vietnamese Mekong Delta : A Socio-spatial Analysis of Environmental Management in a Transition Economy

Industrial zones were introduced to Vietnam in the late 1990s, and have sprouted across the country. The largely agrarian Mekong Delta boasts of hosting about a hundred industrial zones. Although important policy tools in attracting foreign investment, the zones also impact adversely upon the environment. Given their prevalence and policy weight, it is important to understand the workings of environmental management in the industrial zones. The triad of missing capacity- financing-regulation is the common diagnosis for environmental management problems, and the structural features and contradictions of the Vietnamese state and its transition economy, which take centre stage in other analyses of the political economy, have been largely neglected. This work seeks to explore and reintroduce this context into its analysis of wastewater management in the industrial zones of the Vietnam Mekong Delta by employing an institutional analysis and an inductive research strategy. The qualitative empirical data comprises 100 semi-structured interviews with state agencies, companies, consultants, households affected by pollution, provincial documents, as well as media reports in four provinces along the Hau River during the period May 2011 to February 2012. Socio-spatiality was found to offer explanatory power and contextualised insights. The Vietnamese state administration system manifested itself vertically in hierarchical relations, and horizontally with ambiguous operational boundaries between agencies of technically equal standing. Both the operational mandates of the state agencies and even non-state monitoring processes were shaped by this administration structure. The industrial zone itself was vested with social and symbolic meanings accented by the spatial incompatibility between its physical location and management. Law was found to be the medium that expressed and facilitated these multiple dimensions of socio- spatiality of hierarchy, place meanings, and operational territories. The institutional analysis shows itself, retrospectively, to be an implicitly spatial research strategy that does not incline to any one dimension of socio-spatiality. Thus, the rediscovery of multiple dimensions of socio-spatiality underpins this work’s call to better contextualise environmental management analyses through the implicitly spatial institutional analysis

Integration of Reciprocal Teaching-ICT Model To Improve Students’Mathematics Critical Thinking Ability

This research examines the effectiveness on how mathematics teachers have begun to integrate information and communication technology (ICT) with reciprocal teaching model to improve students’ mathematics critical thinking ability into seventh junior high school classroom practice. This study was experimental research with a quasi-experimental design. The samples of the study are 36 students for classroom experiments and 36 students for classroom control. The instruments employed in this study were pre-test and post-test. All the instruments are made in essays forms. The data were analyzed by using descriptive statistics. Based on the research findings, it was gotten that (1) the development of teaching instructional multimedia of the seven grade students of junior high school; (2) the improvement of students’ mathematics critical thinking ability in experimental class; (3) the aspect of attractiveness shows that the developed instructional multimedia was very interesting; and (4) reciprocal learning has good impact on students’ mathematics critical thinking ability