[hpc-announce] WACC 2017 CFP - International Workshop on Assured Cloud Computing and QoS aware Big Data

Roberto Cascella r.cascella at trust-itservices.com
Thu Nov 17 08:03:01 CST 2016

                                 CALL FOR PAPERS

   International Workshop on Assured Cloud Computing and QoS aware Big Data
                                   (WACC 2017)

                                in conjunction with 

                                   CCGRID 2017
                             May 14-17, Madrid, Spain 

Submissions are solicited for the 1 day International Workshop on Assured Cloud 
Computing and QoS aware Big Data (WACC 2017), which will be held in conjunction 
with the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid 
Computing in Madrid, Spain. The workshop will include a mix invited talks, 
refereed papers, and panels. Papers will appear in the workshop proceedings to 
be published by the IEEE and CCGrid.

WACC draws together researchers, practitioners, and thought leaders from 
government, industry, and academia.  The workshop provides a forum of dialogue 
centered upon the development and advancement of an effort to design, 
implement, and evaluate dependable cloud architectures that can provide 
assurances with respect to security, reliability, and timeliness of 
computations (or services). Some new “assured” target applications include, but 
are not limited to, dependable Big Data applications and streaming, data 
analytics and its tools, real-time computations for monitoring, control of 
cyber-physical systems such as power systems, and mission critical computations 
for rescue and recovery.
The technical emphasis of WACC is design, implementation, and evaluation of 
cloud services, data analytics tools, and security solutions to enable 
dependable Big Data applications. Research on cloud services, ICT-skilled data 
scientists and application developers can find complementary solutions and 
partnerships to evaluate and integrate additional solutions. Data scientists 
can find new tools that could address existing needs.

We invite submissions on any topic related to cloud computing that aligns with 
the workshop goals listed above.

- Assurance in clouds and their applications including time-critical cloud 
computations, streaming and the QoS of cloud services.
- Assurances and early validation for Big Data, its algorithms, innovative data 
models, analytic solutions, and applications.
- Experiences on the proactive and reactive allocation of cloud resources for 
Big Data applications.
- Dependability challenges in cloud environments and novel techniques including 
dependable performance for Big Data applications.
- Security and availability of the networks for assured cloud computing.
- State of the art techniques to provide cloud resiliency, cloud resource 
management for Big Data, on-demand elasticity for Big Data, reliable and 
scalable cloud services.
- Role of virtualization and multicore hardware in assuring security and 
- Validation using experimental and/or formal methods.
- Integrity verification and attestation.
- Metrics and risk models for assessing assurance of cloud environments.
- Game theory and mathematical modelling of cloud computing security.
- Assured services, protocols and standards for clouds.
- Secure data management and computation outsourcing.
- Security and privacy aspects in cloud services, efficient data protection 
mechanisms for Big Data and data privacy at storage layer.
- Usability of assurance provisions, interoperability, use cases.
- Cost of assured clouds, energy, trade-offs, budget.
- Identity management and authentication.
- Policy management access controls, authorization for clouds and Big Data.
- Trust and Regulatory Compliance.

Submissions: January 15, 2017 (anywhere on Earth)
Decisions: February 7, 2017
Camera Ready Versions: February 27, 2017


Submission deadline. Submissions of full papers must be made by the deadline, 
Sunday, January 15, 2017 (anywhere on Earth) through EasyChair by SELECTTING 
THE TRACK “International Workshop on Assured Cloud Computing and QoS Aware Big 
Data” in the submission link: 

Submission format. Authors are invited to submit papers electronically in PDF 
format. Submitted manuscripts should be structured as technical papers and may 
not exceed 10 letter-sized (8.5 X 11) pages including all figures, tables and 
references using the IEEE format for conference proceedings.  

Formatting templates: 
- LaTex Package ZIP: 
- Word Template DOC: 
- PDF: http://cloud.siat.ac.cn/ccgrid2015/files/instruct8.5x11x2.pdf.

Submissions not conforming to these guidelines may be returned without review. 
The official language of the workshop is English. All manuscripts will be 
reviewed and judged on technical strength, originality, significance, quality 
of presentation, and relevance to the workshop attendees.

Information for authors. Submission of the paper implies that should the paper 
be accepted, at least one of the authors must register and present the paper at 
the workshop.

Simultaneity. Submissions must not have been published previously, and may not 
be submitted in parallel to any other journal or conference/workshop with 
published proceedings. The program chairs reserve the right to consult 
confidentially with other chairs and responsible parties if a double submission 
is suspected. 


Ignacio Blanquer, Universitat Politènica de València, ES
Rakesh Bobba, Oregon State University, US
Andrey Brito, Federal University of Campina Grande, BR
Roy Campbell, University of Illinois at Urbana-Champaign, US
Roberto Cascella, Trust-IT Services, UK
Christof Fetzer, Dresden University of Technology, DE
Zbigniew Kalbarczyk, University of Illinois at Urbana-Champaign, US
Charles Kamhoua, Air Force Research Laboratory, US
Kevin Kwiat, Air Force Research Laboratory, US
Wagner Meira, Jr., Federal University of Minas Gerais, BR
Luigi Romano, Synclab S.r.l., IT


Jussara Almeida, Federal University of Minas Gerais, BR
Nazareno Andrade, Federal University of Minas Gerais, BR
Muno Antunes, University of Coimbra, PT
Rosa Badia, Barcelona Supercomputing Center, ES
Tania Basso, University of Campinas, BR
Enrico Barbierato, Politecnico di Milano, IT
Walter dos Santos, Federal University of Minas Gerais, BR
Pascal Felber, University of Neuchatel, CH
Sandro Flore, CMCC, IT
Karthik Gopalan, Binghamton University, US
Dorgival Guedes, Federal University of Minas Gerais, BR
Yier Jin, University of Central Florida, US
Stefan Kopsell, Dresden University of Technology, DE
Daniele Lezzi, Barcelona Supercomputing Center, ES
Chen Liu, Clarkson University, US
Andre Martin, Dresden University of Technology, DE
Andrew Martin, Oxford University, UK
German Moltó, Universitat Politècnica de València, ES
Laurent Njilla, Air Force Research Laboratory, US
Karthik Pattabiraman, University of British Columbia, CA
Peter Pietzuch, Imperial College, UK
Nádia Puchalski Kozievitch, Federal Technical University of Parana, BR
Harigovind V. Ramasamy, IBM, US
Sachin Shetty, Old Dominion University, US
Jian Tang, Syracuse University, US
Aad van Moorsel, University of Newcastle, UK
Marco Viera, University of Coimbra, PT
Monica Vitali, Politecnico di Milano, IT
Long Wang, IBM, US
Lok Yan, Air Force Research Laboratory, US
Ming Zhao, Arizona State University, US

Roberto G. Cascella, PhD
Innovation & Research Project Manager

Trust-IT Services Ltd 
email: r.cascella at trust-itservices.com
web: http://www.trust-itservices.com

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