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Sat, 14 May 2016 23:25:18 +0000
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The 6th IEEE International Conference on Big Data and Cloud Computing (BDCloud 2016)October 8th - 10th, Atlanta, GAhttp://tinman.cs.gsu.edu/~bdcloud/index.html
Important Dates
Workshops proposals deadline:  April 5th, 2016Paper submission for main conference deadline: May 31st, 2016Paper submission for workshops deadline:  May 31st, 2016Paper decision to authors: June 30th, 2016Camera ready & Author Registration deadline: July 10th, 2016Early Registration deadline: July 25thConference dates: October 8-10, 2016
Paper Submission and Publication
Submissions must include an abstract, keywords, and the e-mail address of the corresponding author. The length of papers should not exceed 8 pages in the IEEE CS Conference format, including tables, figures, and references. The template files for LATEX or WORD can be downloaded from the following link: http://www.ieee.org/conferences_events/conferences/publishing/templates.html
 All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Should the paper be accepted, at least one of the authors must register for the conference and present the work. All accepted and presented papers will be published in conference proceedings by IEEE CPS (EI indexed).
 Submit your paper(s) at the submission site: https://easychair.org/conferences/?conf=bdcloud2016
 Some of the best works from all accepted and presented BDCloud 2016 papers (after their expansion and second round of independent reviews) will be invited into special issues of highly cited journals. We contacted the editorial boards of the following journals: (1) Information Fusion (Elsevier and SCI indexed), (2) Journal of Computational Science(Elsevier and SCI indexed), (3) Journal of Network and Computer Applications (Elsevier and SCI indexed), (4) Sensors (MDPI and SCI indexed), (5) IEEE Transactions on Emerging Topics in Computing (IEEE), (6) International Journal of Sensor Networks (Inderscience, SCI indexed) and received confirmations about the possibility of offering a special issues in all of them based on the works presented during the BDCloud 2016 conference.



Introduction
Big data is a term applied to many data sets with sizes going beyond the ability of commonly used software tools to capture, manage, process and analyze the data within a tolerable time period. Such datasets are usually characterized by having high VARIETY due to the data coming from various sources or having highly unstructured character (examples include data from social media, sensor networks, scientific applications, video and image formats, websites and documents, Internet search indexes, medical records, business transactions, web logs, etc.); and large VOLUMES that are needed to be processed with high data VELOCITY (I/O-intensive systems). Moreover, big data need to be high VALUE and VERACITY for decision makers to effectively take action and trust the results and rationale.
 Cloud computing is an increasingly popular approach for delivering information infrastructures and resources as computing services. A broad range of customers (both enterprises and individuals) can usually provision and deploy Cloud services via pay-as-you-go pricing models, which let them save significant capital investments in their own computing infrastructures. As estimated by IDC, by 2020, about 40% data globally will be touched with Cloud Computing.
 Cloud Computing can provide significant storage, computation, and distribution capabilities in support of solving multiple Big Data challenges. The BDCloud (Big Data and Cloud Computing) conference was created to provide a prime international forum for researchers, industry practitioners, and domain experts to exchange the latest advances in Big Data and Cloud Computing as well as support synergy of both fields.


TopicsTopics of particular interest include, but are not limited to: •Fundamentals of cloud computing•Architectural cloud models•Programming cloud models•Provisioning/pricing cloud models•Data storage and computation in cloud computing•Resource and large-scale job scheduling in cloud computing•Security, privacy, trust, risk in cloud and big data•Fault tolerance and reliability in cloud computing•Access control to cloud computing•Resource virtualisation•Monitoring and auditing in cloud•Scalable and elastic cloud services•Social computing and impacts on the cloud•Innovative HCI and touch-screen models and technologies to cloud•Mobile commerce, handheld commerce and e-markets on cloud•Intelligent/agent-based cloud computing•Migration of business applications to cloud•Energy efficient cloud architecture•Energy aware data storage and computation in cloud computing•Energy aware scheduling, monitoring, auditing in cloud•Green Cloud•Cloud use case studies•Big Data theory, applications and challenges•Big Data mining and analytics on Cloud•Big Data Infrastructure, MapReduce and Cloud Computing•Big Data visualization•Large data stream, incremental datasets on cloud•Distributed and federated datasets•NoSQL data stores and DB scalability•Big Data sharing, security, privacy and trust•Big Data placement, scheduling, and optimization•Distributed file systems for Big Data•Big Data processing, resource scheduling and SLA on Cloud•Performance characterization, evaluation and optimization•Simulation and debugging of Big Data systems•Volume, Velocity, Variety, Value and Veracity of Big Data•Storage and computation management of Big Data•Large-scale workflow management in Big Data•Data management and distributed data systems•Big data applications


Contact Information
If you have any question about the CFP and paper submission, please email to [log in to unmask]

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