Computing infrastructures and systems are rapidly developing and so are novel ways to map, control and execute scientific applications which become more and more complex and collaborative.Computational and storage capabilities, databases, sensors, and people need true collaborative tools. Over the last years there has been a real explosion of new theory and technological progress supporting a better understanding of these wide-area, fully distributed sensing and computing systems. Big Data in all its guises require novel methods and infrastructures to register, analyze and distill meaning.FGCS aims to lead the way in advances in distributed systems, collaborative environments, high performance and high performance computing, Big Data on such infrastructures as grids, clouds and the Internet of Things (IoT).The Aims and Scope of FGCS cover new developments in:[1] Applications and application support:Novel applications for novel e-infrastructuresComplex workflow applicationsBig Data registration, processing and analysesProblem solving environments and virtual laboratoriesSemantic and knowledge based systemsCollaborative infrastructures and virtual organizationsMethods for high performance and high throughput computingUrgent computingScientific, industrial, social and educational implicationsEducation[2] Methods and tools:Tools for infrastructure development and monitoringDistributed dynamic resource management and schedulingInformation managementProtocols and emerging standardsMethods and tools for internet computingSecurity aspects[3] Theory:Process specification;Program and algorithm designTheoretical aspects of large scale communication and computationScaling and performance theoryProtocols and their verification
计算基础设施和系统正在迅速发展，地图、控制和执行科学应用的新方法也在迅速发展，这变得越来越复杂和协作。计算和存储能力、数据库、传感器以及人们都需要真正的协作工具。在过去的几年里，新的理论和技术进步发生了真正的爆炸，支持人们更好地理解这些广域、全分布式的传感和计算系统。所有形式的大数据都需要新的方法和基础设施来注册、分析和提取意义。FGCS旨在引领分布式系统、协作环境、高性能和高性能计算、网格、云和物联网等基础设施上的大数据的发展。烟气脱硫的目标和范围包括以下方面的新发展：[1]应用程序和应用程序支持：新型电子基础设施的新应用复杂的工作流应用程序大数据登记、处理和分析问题解决环境和虚拟实验室基于语义和知识的系统协作基础架构和虚拟组织高性能和高吞吐量计算方法紧急计算科学、工业、社会和教育意义教育类[2]方法和工具：基础设施开发和监控工具分布式动态资源管理与调度信息管理协议和新兴标准因特网计算方法和工具安全方面〔3〕理论：工艺规范；程序与算法设计大规模通信与计算的理论问题尺度与性能理论协议及其验证
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