DREAMCloud 2016 - 2nd International Workshop on Dynamic Resource Allocation and Management in Embedded, High Performance and Cloud Computing
Topics/Call fo Papers
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/).
TOPICS OF INTEREST
- 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
management)
- 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
architectures
- energy execution models
- energy-aware compiler optimizations and runtime support
- specification languages and environments (workload characterisation)
- system monitoring (workload monitoring, platform monitoring, energy
monitoring)
- 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.
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/).
TOPICS OF INTEREST
- 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
management)
- 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
architectures
- energy execution models
- energy-aware compiler optimizations and runtime support
- specification languages and environments (workload characterisation)
- system monitoring (workload monitoring, platform monitoring, energy
monitoring)
- 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.
Other CFPs
- 5th International workshop on Hybrid/Cloud computing Infrastructure for E-Science application
- 7th International Conference on Manufacturing Science and Technology (ICMST 2016)
- 2016 International Conference on Materials Science and Nanotechnology
- 1st Conference on Computer Simulation of Musical Creativity
- 5th International Conference on Research Methods in Management and Social Sciences
Last modified: 2015-11-03 23:32:06