posted by organizer: etriviere || 499 views || tracked by 2 users: [display]

CloudDP 2016 : 6th International Workshop on Cloud Data and Platforms


When Apr 18, 2016 - Apr 18, 2016
Where London, UK
Submission Deadline Feb 26, 2016
Notification Due Mar 11, 2016

Call For Papers

Processing of very large data sets requires a unique combination of data management and distributed systems engineering knowledge. The data management challenges include, among others, the development of new approaches and algorithms that can reduce the complexity of the data processing and allow incremental, continuous, and as accurate as possible result production. Simultaneously, the sheer volume and velocity of the data require support of systems which can automatically and adaptively scale up and out in order to accommodate big data processing algorithms.

The focus of this workshop is on new cloud-based data management and processing systems which span tens of thousands of machines in order to support processing of contemporary, very large data sets. Such systems require novel architectures, programming models and designs that go beyond approaches used in fixed-sized compute clusters. The focus of such systems is to support the work of users who interactively explore and analyze large and quickly changing data sets. The right platforms and techniques can simplify and accelerate the design, implementation, and execution of new “big data” applications.

In the past, data processing in the cloud has been dominated by batch processing paradigms such as MapReduce, but increasingly users seek to consume their results in near real-time. In order to efficiently support these new types of applications, it is necessary to overcome challenges when supporting adaptive, near real-time processing of data in cloud environments. Ultimately, adaptive low-latency data processing across large number of machines brings a new set of problems related to systems, distributed systems and geo-distribution, networking, fault-tolerance, and data management research.

Instead of providing a forum for merely extending existing cloud data systems and platforms, we hope to encourage the discussion of radical new alternatives. In particular, we want to foster the development of new infrastructures and platforms that rethink how data can be processed in cloud-based systems. We plan to attract research that has the potential to underpin the next generation of scalable and efficient data management applications on top of high-level, flexible platforms.

The topics of the workshop relate to various aspects of cloud-based data management platforms, and the resulting challenges for the supporting cloud infrastructures. Specifically, we invite submissions focusing on, not exclusively:

* adaptive data management
* case studies
* cloud networking
* cloud storage
* cloud security, privacy, compliance, and trust
* dependability and fault tolerance
* elasticity and adaptive scheduling
* energy management
* large-scale and distributed deployments
* mobile and edge cloud computing
* multi-tenancy and virtualization
* new processing paradigms
* new programming models
* predictability in cloud environments
* resource allocation and provisioning
* vertical and horizontal scalability


The workshop format will change this year in order to facilitate submissions and to maximize the feedback that authors will receive about the work. Submissions are expected to be 1 page long, clearly and concisely conveying the challenges being addressed and hinting at key aspects of the proposed approach or solution. Reviews will also be short, in the order of 1 paragraph per review. However, every submission will be reviewed by every member of the workshop’s program committee.

The workshop will not publish proceedings, therefore making it easy to submit improved versions of the same ideas in other forums.

Paper submission can be done on the workshop website.

Important Dates

Paper Submission deadline: February 26, 2016 (23:59, anywhere on earth)
Notification of acceptance: March 11th, 2015

Workshop Venue

The CloudDP 2015 workshop is co-located with the EuroSys 2016 conference. Please refer to the EuroSys 2016 local information pages for details about the venue and accommodation.

Workshop Organizers:

* Rui Oliveira, INESC TEC & University of Minho, Portugal
* Guillaume Pierre, IRISA & Université de Rennes 1, France

Technical Program Committee:

* Rui Oliveira, INESC TEC & University of Minho, Portugal (co-chair)
* Guillaume Pierre, IRISA & Université de Rennes 1, France (co-chair)
* Ed Bugnion, EPFL, Switzerland
* Jiannong Cao, Hong Kong Polytechnic University, HK
* Lucy Cherkasova, HP Labs, USA
* Zbigniew Jerzak, SAP AG, Germany
* Bettina Kemme, McGill University, Canada
* Dejan Milojicic, HP labs, USA
* Etienne Rivière, University of Neuchâtel, Switzerland
* Luis Veiga, Técnico Lisboa - ULisboa / INESC-ID Lisboa, Portugal
* Francisco Vilar Brasileiro, UFCG, Brazil
* John Wilkes, Google, USA

Related Resources

MLDM 2017   Machine Learning and Data Mining in Pattern Recognition
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
Middleware 2016   ACM/IFIP/USENIX Middleware
CCGRID 2017   17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
ECML-PKDD 2017   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery
CLOSER 2017   7th International Conference on Cloud Computing and Services Science
ISMIS 2017   23rd International Symposium on Methodologies for Intelligent Systems
ICDCS 2017   International Conference on Distributed Computing Systems
JWS-VOILA 2016   Special Issue on Visualization and Interaction for Ontologies and Linked Data
CCML 2017   The 16th China Conference on Machine Learning