Energy efficient partition allocation in mixed-criticality systems

Autor: Patricia Balbastre, Alfons Crespo, Salva Peiró, Ana Guasque
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Computer science
Energy transfer
02 engineering and technology
Scheduling (computing)
Computer Architecture
Cognition
Learning and Memory
0202 electrical engineering
electronic engineering
information engineering
Constraint programming
Data Management
Mixed criticality
Multidisciplinary
Applied Mathematics
Simulation and Modeling
Energy consumption
020202 computer hardware & architecture
Professions
Criticality
Physical Sciences
Medicine
Engineering and Technology
Central processing unit
Algorithms
Efficient energy use
Research Article
Mathematical optimization
Computer and Information Sciences
Energy management
Science
Aerospace Engineering
Research and Analysis Methods
Resource Allocation
Computer Software
Memory
020204 information systems
Supervisors
Computer Simulation
Biology and Life Sciences
Signal Bandwidth
Partition (database)
Energy Transfer
Signal Processing
People and Places
Resource allocation
Cognitive Science
Population Groupings
Aviation
Mathematics
Neuroscience
Zdroj: PLoS ONE
PLoS ONE, Vol 14, Iss 3, p e0213333 (2019)
ISSN: 1932-6203
Popis: This paper addresses the problem of energy management of mixed criticality applications in a multi-core partitioned architecture. Instead of focusing on new scheduling algorithms to adjust frequency in order to save energy, we propose a partition to CPU allocation that takes into account not only the different frequencies at which the CPU can operate but the level of criticality of the partitions. The goal is to provide a set of pre-calculated allocations, called profiles, so at run time the system can switch to different modes depending on the battery level. These profiles achieve different levels of energy saving and performance applying different strategies. We also present a comparison in terms of energy saving of the most used bin-packing algorithms for partition allocation. As this is an heuristic, it is not possible to ensure that our results involve the minimum energy consumption. For this reason, we also provide a comparison with a exact method, such as constraint programming.
Databáze: OpenAIRE
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