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Call for Papers

 

Computer
Big Data: Management and Applications

Computer seeks submissions for a March 2015 special issue on big data management and applications.

With the synergistic confluence of multicore and multiprocessor computers, pervasive sensing and wireless sensor networks, cloud and mobile computing, along with groundbreaking advances in storage devices, we are generating unprecedented levels of data. It is estimated that 90 percent of the world's data has been generated in the past two years. Data too big and complex to capture, store, process, analyze, and interpret — even using state-of-the-art tools and methods — is referred to as big data.

The guest editors solicit papers covering all areas of big data management and applications, including big data infrastructure, frameworks, and tools; distributed big data interoperability and standards; big data management practices and analytics; big data privacy and security; and big data applications. Contributions that provide an interdisciplinary view of big data, and work that involves real deployments and novel applications are of particular interest.

Topics
Suggested topics include, but are not limited to, the following:

  • big data infrastructure, frameworks, and tools, such as high-performance computing architectures, distributed file systems, new programming paradigms and application frameworks, parallel class libraries, and green computing for big data;
  • distributed big data interoperability and standards, such as distributed file systems, semantic interoperability, semantic classifiers, shared vocabularies, ontologies, and data integration;
  • big data management practices and analytics, such as data models, query languages, stream data management, NoSQL systems, and indexing and query processing;
  • big data privacy and security, such as secure computations in distributed programming frameworks, security best practices for NoSQL systems, real-time security monitoring, granular access control, cryptographically enforced data-centric security, granular audits, and data provenance; and
  • big data applications, such as predictive manufacturing, physical infrastructure monitoring, sensor networks and smart building operation, customer-targeted marketing, analysis and optimization of business processes, law enforcement and security, research and learning, crowdsourcing, social network analysis, healthcare and public health management, image search, natural language understanding, and visualization.

 

Important Dates
One-page White Paper Due: 1 June 2014
Full Paper Submissions Due: 1 September 2014
Acceptance Notification: 15 November 2014
Final Papers Due: 15 December 2014
Special Issue Publication: March 2015

View details at Computing Now

 


 

IEEE Transactions on Cloud Computing
Special Issue on Big Data Computing on Clouds

Big data is an emerging paradigm applied to datasets whose size or complexity is beyond the ability of commonly used computer software and hardware tools. Such datasets are often from various sources (Variety) yet unstructured such as social media, sensors, scientific applications, surveillance, video and image archives, Internet texts and documents, Internet search indexing, medical records, business transactions and web logs; and are of large size (Volume) with fast data in/out (Velocity). More importantly, big data has to be of high value (Value) and establish trust in it for business decision making (Veracity). Various technologies are being discussed to support the handling of big data such as massively parallel processing databases, scalable storage systems, cloud computing platforms, and MapReduce. As estimated by IDC, by 2020, about 40% data globally would be touched with Cloud Computing. Besides, Cloud Computing provides strong storage, computation and distributed capability in support of Big Data processing. Therefore, there is a strong demand to investigate various challenges about how to support Big Data processing by facilitating Cloud Computing potential. This special issue will focus on this challenging topic.

Topics
Original and unpublished high-quality research results are solicited to explore various challenging topics which include, but are not limited to:

  • Cloud Architecture for Big Data
  • Resource scheduling and SLA for Big Data on Cloud
  • Storage and computation management in Cloud for Big Data
  • Large-scale data intensive workflow in support of Big Data processing on Cloud
  • Multiple source data processing and integration on Cloud
  • Virtualisation and visualisation of Big Data on Cloud
  • Fault tolerance and reliability for Big Data processing on Cloud
  • MapReduce with Cloud for Big Data processing
  • Distributed file storage system with Cloud for Big Data
  • Inter-cloud technology for Big Data
  • Security, privacy and trust in Big Data processing on Cloud
  • Green, energy-efficient models and sustainability issues in Cloud for Big Data processing
  • Cloud infrastructure for social networking with Big Data
  • User friendly Cloud access for Big Data processing
  • Innovative Cloud data centre networking for Big Data
  • Wireless and mobility support in Cloud data centre for Big Data

 

Important Dates
Submission due date: 15 November 2014
Notification of acceptance: 15 March 2015
Submission of final manuscript: 15 May 2015
Publication date: 2nd Quarter, 2015 (Tentative)

View details (PDF, 119 KB)