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Balancing QoS and power consumption in programmable 5G infrastructures
Author(s) -
Carrega Alessandro,
Portomauro Giancarlo,
Repetto Matteo,
Robino Giorgio
Publication year - 2018
Publication title -
transactions on emerging telecommunications technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.366
H-Index - 47
ISSN - 2161-3915
DOI - 10.1002/ett.3425
Subject(s) - computer science , testbed , workload , cloud computing , quality of service , distributed computing , edge computing , energy consumption , boosting (machine learning) , efficient energy use , service quality , computer network , service (business) , engineering , operating system , economy , machine learning , electrical engineering , economics
The advent of fifth generation is promising to push far more intelligence than today to the network boundary, hence boosting novel computing models based on fog/edge paradigms. The need for proximity in computation, coupled with various forms of mobility, will be responsible for dynamic shifting of workload within the system, with large fluctuations in resource usage. This eventually turns into poor energy efficiency of the whole infrastructure. However, improving efficiency usually deteriorates quality of service, hence the dilemma about how to balance these two contrasting aspects. In this paper, we propose a framework that leverages the increasing programmability of ICT infrastructures to pursue a linear relationship between power consumption and workload, while safeguarding quality of service. Our approach is based on workload consolidation and extensions to existing cloud management software. We collected both real measurements from an experimental testbed and performance analysis from simulations to evaluate the consolidation strategy in more complex environments.