WACC 2017 : International Workshop on Assured Cloud Computing and QoS aware Big Data
Call For Papers
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.
SCOPE, GOALS AND VISION
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.
TOPICS OF INTEREST
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.
- 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
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
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
TECHNICAL PROGRAM COMMITTEE [TPC]
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