Computing in the Continuum: Combining Pervasive Devices and Services to Support Data-Driven Applications
Computing in the Continuum: Combining Pervasive Devices and Services to Support Data-Driven Applications
复制标题
连续体计算：结合普及设备和服务来支持数据驱动的应用程序
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
M. Parashar
中科院分区：
文献类型：
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作者：
Moustafa AbdelBaky;Mengsong Zou;A. Zamani;E. G. Renart;J. Montes;M. Parashar
数字数据源的指数级增长有可能改变社会和我们生活的各个方面。然而，为了实现这一影响，必须迅速处理数据，以提取可以推动决策的见解。此外，依赖于将数据移动到远程数据中心进行处理的传统方法不再可行。相反，有效利用分布式计算基础设施和服务的新方法是必要的。具体来说，这些方法必须根据需要在边缘、核心和沿着数据路径无缝地联合收割机组合资源和服务。本文介绍了我们的愿景，使一种方法，计算在连续，即，实现一个流动的生态系统，其中分布式资源和服务按需以编程方式聚合，以支持新兴的数据驱动应用程序工作流。这一愿景需要新的解决方案，用于联合基础设施，编程应用程序和服务，以及组成动态工作流，这些工作流能够实时响应不可预测的数据大小，可用性，位置和速率。
The exponential growth of digital data sources has the potential to transform all aspects of society and our lives. However, to achieve this impact, the data has to be processed promptly to extract insights that can drive decision making. Further, traditional approaches that rely on moving data to remote data centers for processing are no longer feasible. Instead, new approaches that effectively leverage distributed computational infrastructure and services are necessary. Specifically, these approaches must seamlessly combine resources and services at the edge, in the core, and along the data path as needed. This paper presents our vision for enabling an approach for computing in the continuum, i.e., realizing a fluid ecosystem where distributed resources and services are programmatically aggregated on-demand to support emerging data-driven application workflows. This vision calls for novel solutions for federating infrastructure, programming applications and services, and composing dynamic workflows, which are capable of reacting in real-time to unpredictable data sizes, availabilities, locations, and rates.