CALL FOR PAPERS- Springer Journal of Internet Services and Applications (JISA)

This is the second call for papers in JISA's continuing - Thematic Series on BIG DATA -

Submission deadline: 11:59pm CET, FEBRUARY 19, 2016.

The Springer Journal of Internet Services and Applications, JISA, is an open access journal. Relevant information and recent papers are available from . JISA solicits high-quality manuscripts, for its new Thematic Series on Big Data, touching upon all aspects of big data research, with emphasis on middleware and distributed systems facilitating Big Data Analytics at internet scales. We solicit a variety of article types:

  • (i) research papers, presenting new ideas, methods, and algorithms;
  • (ii) practice papers, that present in detail new systems and/or applications, or lessons learned by experimenting with specific systems/applications in different domains,
  • (iii) surveys of the state of the art of systems, applications, or methods, and
  • (iv) vision papers, presenting revolutionary new ideas for Big Data systems, services and applications.


Topics of interest include, but are not limited to, the following:

  1. Big Data Infrastructures
    • Cloud stores and modern data systems - NoSQL, graph, document, and relation-like datasets.
    • Infrastructures for Internet-of-Things scenarios
    • Scalability, fault-tolerance, and efficiency
    • Scale-out versus scale-up architectures
    • Platforms for scalable execution (including and beyond MapReduce, Scope, Kafka, GraphLab, FlockDB, Pregel, Storm, etc).
    • Languages and execution environments (a la Pig, Hive, etc.)
    • Multi-data centre and multi-cloud architectures
    • Pricing models
  2. Big Data Management and Search
    • Data modeling
    • Indexing
    • Complex query processing
    • Streaming and complex event processing
    • From batch processing to real-time analytics
    • Data consistency models
    • Data quality assurance, integration, and provenance
    • Data security and privacy
    • Interacting with and visualizing Big Data
  3. Big Data Analytics
    • Statistical and machine learning techniques (e.g., clustering, classification, prediction, summarization) for mining and knowledge discovery in internet data
    • Web data and social media analytics
    • Dealing with uncertain data
    • Semantic web and open linked data
    • Business analytics
    • Analytics and crowdsourcing
    • Analytics as a service
  4. Big data in specific domains
    • Environmental applications
    • Health and biomedical applications
    • Finance and economics
    • Urban data
    • Public governance data
    • Scientific and Engineering data

Important Dates

Paper submissions: 11:59pm CET, February 19, 2016
Notification of first round of reviews: April 29, 2016
Revised submissions: May 29, 2016

Instructions for Submission

Before submission, authors are advised to carefully read the Instructions for Authors, which are located at Regular research manuscripts are typically 14 two-column pages in length. However, slightly longer or shorter papers are also acceptable. Vision papers are expected to be shorter, as short as 6 two-column pages in length, while survey papers can be up to 20 two-column pages in length. Prospective authors should submit an electronic copy of their complete manuscript through the SpringerOpen submission system at according to the submission schedule. They should select the correct Thematic Series in the "sections" box upon submitting. If you have any difficulty in paying the author processing charges (APC), please request a waiver from the editors.

    Guest editors:

  • Peter Triantafillou, University of Glasgow, UK
  • Badrish Chandramouli, Microsoft Research, USA
  • Stratos Idreos, Harvard University, USA
  • Rainer Gemulla, University of Mannheim, Germany

Contact details

Please address queries related to this call to