Call for Papers

DREAMCloud 2016
2nd International Workshop on Dynamic Resource Allocation and Management
in Embedded, High Performance and Cloud Computing

Jan 19th 2016
Co-Located with HiPEAC 2016
Prague, Czech Republic

Jointly organised by the DreamCloud and EXCESS projects.


DREAMCloud is a workshop aiming to encourage technical and scientific exchanges
between senior academics, young researchers and industrialists in the area of
dynamic resource management in embedded, high performance and cloud computing.
It has strong emphasis on performance predictability and energy
efficiency, which are the key issues addressed by the DreamCloud and EXCESS projects.
It aims to foster cooperation across the different domains by emphasising the
latest trends bringing together the respective research communities:

- embedded systems are increasingly complex, having to cope with dynamic
workloads, and using multiprocessor and communication-centric platforms, while
fulfiling strict timing and energy requirements;

- high-performance and cloud computing critically need to address fundamental
problems in energy efficiency and performance predictability, despite having
little or no a priori knowledge about their workloads.

The second DREAMCloud Workshop will be co-located with the HiPEAC 2016
Conference in Prague, Czech Republic (https://www.hipeac.net/2016/prague/).


- dynamic resource allocation and management algorithms and heuristics for
time-predictable and performance-predictable systems

- dynamic resource allocation and management algorithms and heuristics
targeting energy-efficiency

- operating system and virtualisation technologies implementing dynamic
resource allocation and management (task allocation, task migration, context

- dynamic resource allocation of on-chip and off-chip interconnects (routing,
buffer allocation)

- dynamic management of memory hierarchies and storage (time-predictable memory
controllers, scratchpads, file systems)

- dynamic hardware reconfiguration to support dynamic resource management
(hardware-assisted dynamic scheduling and allocation)

- approaches to energy-efficient computing paradigms for emerging many-core

- energy execution models

- energy-aware compiler optimizations and runtime support

- specification languages and environments (workload characterisation)

- system monitoring (workload monitoring, platform monitoring, energy

- verification and evaluation techniques (simulation, analytical models)

- benchmarks for dynamic resource allocation in embedded, high performance and
cloud computing

The workshop is organised by the EU-funded DreamCloud and EXCESS project
consortia, which have both started in September 2013 and are addressing some
of the topics listed above.
The overall goal of the workshop, however, is to assess the most
relevant research
contributions and industrial needs in this area, therefore contributions from
outside of the consortia are extremely welcome and will be given preference in the final programme.


- Submission: 2nd November, 2015 extended to 12th November 2015
- Notification: 27th November, 2015
- Final Version: 11th December, 2015
- Workshop 19th January, 2016


Authors are invited to submit contributions as maximum 8 page papers in IEEE
format. Contribution(s) have to be submitted electronically through EasyChair:

All accepted papers will be published in arXiv's Computing Research
Repository (CoRR).

A selection of the best papers may be considered for publication as a journal
special issue after the event.


Leandro Soares Indrusiak - University of York, UK
Alexey Cheptsov - High Performance Computing Center Stuttgart (HLRS), DE

Technical Program Committee

Neil Audsley - University of York, UK
Luciano Copello Ost - University of Leicester, UK
Alexey Cheptsov - High Performance Computing Center Stuttgart, DE
Piotr Dziurzanski - University of York, UK
Abdoulaye Gamatie - LIRMM, FR
Christoph Kessler - Linköping University, SE
Amit Kumar Singh - University of York, UK
Borislav Nikolic - Polytechnic Institute of Porto, PT
Raj Patel - RheonMedia, UK

Paul Renoud-Goud, Chalmers University of Technology, SE
Gilles Sassatelli - LIRMM, FR
Fridtjof Siebert - aicas, DE
Bjoern Saballus - Bosch, DE
Leandro Soares Indrusiak - University of York, UK
Philippas Tsigas - Chalmers University of Technology, SE

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