scholarly journals Advanced Cartographic Techniques for Making Sense of Big Dynamic Data

2019 ◽  
Vol 1 ◽  
pp. 1-3
Author(s):  
Alexandre Sorokine ◽  
Steven Fernandez

<p><strong>Abstract.</strong> We have demonstrated application of advanced cartographic approaches to visualization of the U.S. electric grid. To address the challenges of high cognitive load of animated maps, we have applied an approach to combine data preprocessing, event detection, and several advanced cartographic techniques. In the future, the proposed methodology can be generalized to other types of dynamic big data.</p>

2018 ◽  
Vol 8 (11) ◽  
pp. 2216
Author(s):  
Jiahui Jin ◽  
Qi An ◽  
Wei Zhou ◽  
Jiakai Tang ◽  
Runqun Xiong

Network bandwidth is a scarce resource in big data environments, so data locality is a fundamental problem for data-parallel frameworks such as Hadoop and Spark. This problem is exacerbated in multicore server-based clusters, where multiple tasks running on the same server compete for the server’s network bandwidth. Existing approaches solve this problem by scheduling computational tasks near the input data and considering the server’s free time, data placements, and data transfer costs. However, such approaches usually set identical values for data transfer costs, even though a multicore server’s data transfer cost increases with the number of data-remote tasks. Eventually, this hampers data-processing time, by minimizing it ineffectively. As a solution, we propose DynDL (Dynamic Data Locality), a novel data-locality-aware task-scheduling model that handles dynamic data transfer costs for multicore servers. DynDL offers greater flexibility than existing approaches by using a set of non-decreasing functions to evaluate dynamic data transfer costs. We also propose online and offline algorithms (based on DynDL) that minimize data-processing time and adaptively adjust data locality. Although DynDL is NP-complete (nondeterministic polynomial-complete), we prove that the offline algorithm runs in quadratic time and generates optimal results for DynDL’s specific uses. Using a series of simulations and real-world executions, we show that our algorithms are 30% better than algorithms that do not consider dynamic data transfer costs in terms of data-processing time. Moreover, they can adaptively adjust data localities based on the server’s free time, data placement, and network bandwidth, and schedule tens of thousands of tasks within subseconds or seconds.


2021 ◽  
Vol 9 (1) ◽  
pp. 16-44
Author(s):  
Weiqing Zhuang ◽  
Morgan C. Wang ◽  
Ichiro Nakamoto ◽  
Ming Jiang

Abstract Big data analytics (BDA) in e-commerce, which is an emerging field that started in 2006, deeply affects the development of global e-commerce, especially its layout and performance in the U.S. and China. This paper seeks to examine the relative influence of theoretical research of BDA in e-commerce to explain the differences between the U.S. and China by adopting a statistical analysis method on the basis of samples collected from two main literature databases, Web of Science and CNKI, aimed at the U.S. and China. The results of this study help clarify doubts regarding the development of China’s e-commerce, which exceeds that of the U.S. today, in view of the theoretical comparison of BDA in e-commerce between them.


Author(s):  
Sally A. Applin ◽  
Michael D. Fischer

As healthcare professionals and others embrace the Internet of Things (IoT) and smart environment paradigms, developers will bear the brunt of constructing the IT relationships within these, making sense of the big data produced as a result, and managing the relationships between people and technologies. This chapter explores how PolySocial Reality (PoSR), a framework for representing how people, devices and communication technologies interact, can be applied to developing use cases combining IoT and smart environment paradigms, giving special consideration to the nature of location-aware messaging from sensors and the resultant data collection in a healthcare environment. Based on this discussion, the authors suggest ways to enable more robust intra-sensor messaging through leveraging social awareness by software agents applied in carefully considered healthcare contexts.


Author(s):  
Sonia Janis ◽  
Joy Howard

Multiraciality is a historical reality that has existed as long as the racializing of any group, community, tribe, nation, or continent. Multiraciality is a silenced reality that has been informed by history, politics, geography, law, research, scholarship, media, popular culture, and education. In turn, the same fields have been informed by multiraciality. Multiracial curriculum perspectives provide key historical understandings to contextualize the present multiracial scholarship around curriculum. The work within multiracial studies is research addressing the implications of people identifying as two or more races. The study of multiraciality outside psychology is methodologically nonlinear, qualitative, storied, personal, and operating “in-between” multiple theoretical orientations. This type of research is not acknowledged in academia as influential enough to garner considerable attention and value. Prior to 2014, the research and scholarship associated with multiraciality was often dispersed across disciplines, such as psychology, sociology, and public policy. Historically, the two prominent fields that orientate to the cross-/interdisciplinary field of multiracial studies are psychology, where multiracial identity development is explored, and policies studies with the multiracial movement and the addition of “mark-all-that-apply” in the U.S. Census. Understanding multiracial curriculum perspectives requires a historical perspective to contextualize 21st-century discourse and scholarship around the multiracial curriculum. The use of 21st-century figures brings to the surface historical understandings germane to synthesizing what it might mean to theorize multiraciality in the curriculum. An analysis of multiracial encounters in P-12 schools, universities, and educational institutions exemplify how generations living in the 21st century are making sense of multiracial identities and curriculums.


Impact ◽  
2019 ◽  
Vol 2019 (1) ◽  
pp. 25-29
Author(s):  
Duncan Greaves

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