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First EAI International Conference on Computer Science and Engineering

November 11–12, 2016 | Penang, Malaysia

Call for Papers


Special Session BDO-COMPSE 2016-Malaysia

Big Data Optimization Algorithms, Techniques, Theory and its application to real world problems.


Brief description of area of coverage:

The age of "big data" is here: data of unprecedented sizes is becoming ubiquitous, which brings new challenges and new opportunities. In the big data era, we are dealing with the explosive increase of global data and enormous datasets. Unlike seemingly similar terms such as “massive data” or “very big data,” big data refers to the datasets that could not be perceived, acquired, managed, and processed by traditional Information Technology (IT) and software/hardware tools within a tolerable time. Classical algorithms are not designed to scale to instances of this size and hence new approaches are needed. These approaches utilize novel algorithmic design involving tools such as distributed and parallel computing, randomization, asynchronicity, decomposition, sketching and streaming. This session aims to bring together researchers working on novel optimization algorithms and codes capable of working in the Big Data setting.


Area of coverage

Big Data Modelling and Analysis

Big Data Gathering, Aggregation and Replication

High Performance and MapReduce Processing

Big Data Analytics and Visualization

Big Data, Cloud Computing and Auditing

Big Data, Mobile Computing and IoT

Social Networking and Crowd-sourcing

Big Data Management Algorithms

Big Data Processing Algorithms

Big Data Stream Techniques and Algorithms

Open Data, Benchmarking, Frameworks, Best Practices and Experiences

Emerging Applications


Real Word Applications problems

Big Data Application Architecture

Big Data Ingestion and Streaming Patterns

Big Data Storage Patterns

Big Data Access Patterns

Big Data Discovery and Analysis Patterns

Big Data Visualization Patterns

Big Data Deployment Patterns

Big Data NFRs

Big Data Case Studies



Targeted Audience

Anyone interested in the newest developments in big data optimization algorithms, theory and applications from academics, instructors and senior students, researchers and senior graduates from academia, networking and software engineers, data analysts, business analysts from industries and businesses.


Paper Submission

  • Papers should be submitted in Confy system, in 'BDO-COMPSE 2016' Track.
  • Instructions on initial submission are available on and have to comply with the SPRINGER format (see Author's kit section).
  • Papers should be in English.
  • Regular papers should be up to 10 pages in length.
  • Short papers should be up to 6 pages in length.
  • Previously published work may not be submitted, nor may the work be concurrently submitted to any other conference or journal. Such papers will be rejected without review. 



Accepted papers from this session will be published as part of main conference proceedings.

·         Proceedings are submitted for inclusion to the leading indexing services: DBLP, Google Scholar, Thomson Scientific ISI Proceedings, EI Elsevier Engineering Index, CrossRef, Scopus, as well as ICST's own EU Digital Library (EUDL).

·         Best and high quality papers will be selected and reviewed by IPC in order to publish extended version of the paper for: 

·         The authors of the best papers will be invited to submit an extended version of their work through one of EAI endorsed publications. More information about EAI ENDORSED TRANSACTIONS available here.


Name and contact information of Special Session Organizers

Bharat Singh

Big Data Analyst, Hildesheim, Germany 

E-mail: [email protected]

Neel Mani

ADAPT Centre for Digital Content Technology, Dublin City University, School of Computing, Dublin, Ireland

E-mail: [email protected], [email protected]

Pandian Vasant

Universiti Teknologi PETRONAS, 31750 Tronoh, Malaysia

E-mail: [email protected]

Junzo Watada

The Graduate School of Information,Production and Systems,

Waseda University, Japan

E-mail: [email protected]


Submission Deadline

31 July 2016 -> 21 August (FINAL)