Power-aware cloud brownout: Response time and power consumption control

Papadopoulos, Alessandro Vittorio; Krzywda, Jakub; Elmroth, Erik; Maggio, Martina

doi:10.1109/cdc.2017.8264049

Cited by 3 publications

(2 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Various algorithms and controllers have been employed to extend the brownout-concept as originally envisioned, including how it can be used to optimize both service delivery [9], [10], [11], [12], [13] and cloud infrastructure power consumption [14], [15], [16]. These results validate the claim that great utility and efficiency increases can be made using a qualityreduction approach.…”

Section: Related Workmentioning

confidence: 72%

Quality-Elasticity: Improved Resource Utilization, Throughput, and Response Times Via Adjusting Output Quality to Current Operating Conditions

Larsson

Tärneberg

Klein

et al. 2019

2019 IEEE International Conference on Autonomic Computing (ICAC)

Self Cite

View full text Add to dashboard Cite

This work addresses two related problems for online services, namely poor resource utilization during regular operating conditions, and low throughput, long response times, or poor performance under periods of high system load. To address these problems, we introduce our notion of qualityelasticity as a manner of dynamically adapting response qualities from software services along a fine-grained spectrum. When resources are abundant, response quality can be increased, and when resources are scarce, responses are delivered at a lower quality to prioritize throughput and response times. We present an example of how a complex online shopping site can be made quality-elastic. Experiments show that, compared to state of the art, improvements in throughput (57% more served queries), lowered response times (8 time reduction for 95 th percentile responses), and an estimated 40% profitability increase can be made using our quality-elastic approach. When resources are abundant, our approach may achieve upwards of twice as high resource utilization as prior work in this field.

show abstract

Section: Related Workmentioning

confidence: 72%

Quality-Elasticity: Improved Resource Utilization, Throughput, and Response Times Via Adjusting Output Quality to Current Operating Conditions

Larsson

Tärneberg

Klein

et al. 2019

2019 IEEE International Conference on Autonomic Computing (ICAC)

Self Cite

View full text Add to dashboard Cite

show abstract

“…presented an approach to adapt the workflow execution by producing a response containing minimal components (mandatory part) while disabling additional components in case of limitations in power availability [44]. Gerostathopoulos, Raibulet, and Lago suggest the usage of decision maps to make sustainability-driven decisions [45].…”

Section: State Of the Artmentioning

confidence: 99%

Enriching Cloud-native Applications with Sustainability Features

Vitali,

Schmiedmayer,

Bootz

2023

2023 IEEE International Conference on Cloud Engineering (IC2E)

View full text Add to dashboard Cite

Due to the ever-growing demand for computational resources, the environmental impact of data centers is continuously increasing. Recently, a great effort has been made to mitigate this impact, while the demand for computational resources has continued to grow. Current mitigation strategies focus on the infrastructure perspective, while the application perspective has been neglected. This paper aims to engage application designers and developers on the path to greener application design. Following the Sustainable Application Design Process (SADP) methodology, we introduce a Sustainable Application Design Architecture (SADA) for enriching cloud-native application components with sustainability features that can be exploited to adapt the application workflow to the environmental context. The architecture enables synergies from design to deployment between all stakeholders involved in the application management. The paper focuses on enriching the application with sustainability features in the design and development phases. We also present and discuss a prototype that can translate designlevel sustainability features into development features.

show abstract