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Introduction

A new paradigm is needed in order to increase the productivity and effectiveness of scientific data analysis for Earth and planetary science investigation. This paradigm must recognize that architectural and analytical choices are interrelated, and must be carefully coordinated in any system that aims to allow efficient, interactive scientific exploration and discovery to exploit massive data collections, from point of collection to analysis and decision support.

Both observational systems and data centers will be needed as part of this new paradigm, which includes the significant increase in size and complexity of science data as well as new approaches across the entire data lifecycle from capture to management and analysis of the data.

This workshop builds off of two successful previous workshops in this area. The Big Data in the Geosciences and the Data and Computational Science Technologies for Each Science Research workshops have merged to offer a comprehensive venue for all aspects of Big Data in the Earth and Planetary Sciences. We seek computational and data science experts to present on their research and discuss Big Data roadmaps, architectures, technologies, and methodologies for future Earth and planetary science data challenges emerging from both instrumentation and data access and analytics.

Call for paper

Important date

2016-09-26
Draft paper submission deadline

Submission Topics

The workshop covers several modern topics related to cloud computing, NoSQL, scalability, services and databases:

  •  Database as a Service, Multi-tenancy

  •  Elasticity and Scalability for Cloud Data Management Systems

  •  New Protocols, Service Interfaces and Data Models for Cloud Databases

  •  Polyglot Persistence, NoSQL, Schemaless Data Modeling, Integration

  •  Data-Centric Web-Services, RESTful Data Services

  •  Database Architectures for Mobile and Web Clients

  •  Content Delivery Networks, Caching, Load-Balancing, Web-scale workloads

  •  Virtualization for Cloud databases, Storage Structures and Indexing

  •  Frameworks and Systems for Parallel and Distributed Computing

  •  Scalable Machine Learning, Analytics and Data Science

  •  Resource and Workload Management in Cloud Databases

  •  Tunable and Eventual Consistency, Latency

  •  High Availability, Reliability, Failover

  •  Transactional Models for Cloud Databases

  •  Query Languages and Processing, Programming Models

  •  Consistency, Replication and Partitioning

  •  CAP, Data Structures and Algorithms for Eventually Consistent Stores

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Important Date
  • Conference Date

    Dec 05

    2016

    to

    Dec 08

    2016

  • Sep 26 2016

    Draft paper submission deadline

  • Dec 08 2016

    Registration deadline