The Coming Age of Pervasive Data Processing

机译：普适数据处理时代的来临

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Emerging Big Data analytics and machine learning applications require a significant amount of computational power. While there exists a plethora of large-scale data processing frameworks which thrive in handling the various complexities of data-intensive workloads, the ever-increasing demand of applications have made us reconsider the traditional ways of scaling (e.g., scale-out) and seek new opportunities for improving the performance. In order to prepare for an era where data collection and processing occur on a wide range of devices, from powerful HPC machines to small embedded devices, it is crucial to investigate and eliminate the potential sources of inefficiency in the current state of the art platforms. In this paper, we address the current and upcoming challenges of pervasive data processing and present directions for designing the next generation of large-scale data processing systems.

机译：新兴的大数据分析和机器学习应用程序需要大量的计算能力。尽管存在大量的大型数据处理框架，它们在处理数据密集型工作负载的各种复杂性方面蓬勃发展，但对应用程序的需求不断增长，使我们重新考虑了传统的扩展方式（例如，向外扩展）并寻求改善绩效的新机会。为了为从强大的HPC机器到小型嵌入式设备的各种设备上进行数据收集和处理的时代做好准备，至关重要的是研究并消除当前最先进平台的低效率潜在来源。在本文中，我们将解决普适数据处理的当前和未来挑战，并为设计下一代大规模数据处理系统提供指导。

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《International Symposium on Parallel and Distributed Computing》|2019年|58-65|共8页
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Jan S. Rellermeyer; Sobhan Omranian Khorasani; Dan Graur; Apourva Parthasarathy;
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Big Data; Java; Sparks; Instruction sets; Machine learning; Memory management;

机译：大数据; Java;火花;指令集;机器学习;内存管理;

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专利

1. Data processing: Coming of age [J] . Miroslav Barisic Nafta . 2005,第2期

机译：数据处理：成年
2. Data processing: coming of age [J] . Bill Pike Hart's E&P . 2004,第10期

机译：数据处理：成熟
3. Pervasive Data Processing [J] . Ichiro Satoh Procedia Computer Science . 2015,第1期

机译：普适数据处理
4. The Coming Age of Pervasive Data Processing [C] . Jan S. Rellermeyer, Sobhan Omranian Khorasani, Dan Graur, International Symposium on Parallel and Distributed Computing . 2019

机译：普遍存在数据处理的未来时代
5. Collaborative power management: Piercing abstraction barriers for fast and energy-efficient pervasive data access. [D] . Anand, Manish. 2007

机译：协作电源管理：突破抽象障碍，实现快速，节能的普适数据访问。
6. IoMT Platform for Pervasive Healthcare Data Aggregation Processing and Sharing Based on OneM2M and OpenEHR [O] . Jesús N. S. Rubí, Paulo R. L. Gondim 2019

机译：基于OneM2M和OpenEHR的IoMT平台用于广泛的医疗数据聚合处理和共享
7. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

机译：摘要的各个身体部位或器官可被分析以识别在人体内的不同的疾病。指甲分析来识别人体疾病的方法之一。指甲是身体一部分是离心脏最远，因此在最后接受氧气。作为结果，指甲是第一谁表现出人体疾病的症状。指甲可以容易地捕获用于诊断和没有重装或需要使用指甲图像用于疾病诊断，比如在其他测试和扫描过程没有特定的条件。人的指甲提供有关投诉或取决于它们的形状，纹理和色彩在人体内的任何营养失衡有益的信息。在人类中，许多全身性皮肤疾病是可以很容易地通过两个四肢指甲的仔细检查分析。很多指甲病已发现众多潜在系统性疾病的主要症状。在指甲的颜色，质地和形状的变化是许多疾病主要影响指甲的迹象。考虑到所有的指甲的这些性能的系统被提出，用于识别人指甲这样的变化以获得更精确的结果，并毫不费力预测许多疾病用途的数字图像处理（DIP）方法。随着物联网（IOT）的概念，新兴的互联网将生成的报告提供远程，这将帮助用户降低运输工作。由于系统必须处理大量的私人数据，数据的安全性必须得到保证。为了保持数据的机密性，使用Blockchain的概念，它是在数据管理领域的大多数新兴的概念之一。本文包含了数字图像处理的指甲图像，IOT（ThingSpeak云）的使用为数据存储和执行Blockchain的特征提取的执行，以保持固定的系统和盗窃免费。关键词：诠释薄GS（IOT），图像的ERNET PROC essin克，薄型gSpeak，RG乙vavalues，平均数PI XEL vavalues，阵营kchain，哈希密钥。疾病诊断系统：在人类指甲异常

The Coming Age of Pervasive Data Processing

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