Quality of Service Models for Microservices and Their Integration into the SWITCH IDE

Štefanič, Polona; Cigale, Matej; Jones, Andrew C.; Stankovski, Vlado

doi:10.1109/fas-w.2017.150

Cited by 5 publications

(2 citation statements)

References 7 publications

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“…They give insight into which time-critical requirements have the greatest impact on the QoS. A QMM provides probabilities, showing which parameters have the greatest correlation with the QoS of a particular software component [32]. According to this information, time-critical requirements can be considered for further analysis since they are crucial for the application's QoS.…”

Section: Switch Interactive Development Environment (Side)mentioning

confidence: 99%

SWITCH workbench: A novel approach for the development and deployment of time-critical microservice-based cloud-native applications

Štefanič

Cigale

Jones

et al. 2019

Future Generation Computer Systems

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Time-critical applications, such as early warning systems or live event broadcasting, present particular challenges. They have hard limits on Quality of Service constraints that must be maintained, despite network fluctuations and varying peaks of load. Consequently, such applications must adapt elastically on-demand, and so must be capable of reconfiguring themselves, along with the underlying cloud infrastructure, to satisfy their constraints. Software engineering tools and methodologies currently do not support such a paradigm. In this paper, we describe a framework that has been designed to meet these objectives, as part of the EU SWITCH project. SWITCH offers a flexible co-programming architecture that provides an abstraction layer and an underlying infrastructure environment, which can help to both specify and support the life cycle of time-critical cloud native applications. We describe the architecture, design and implementation of the SWITCH components and describe how such tools are applied to three time-critical real-world use cases.

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Section: Switch Interactive Development Environment (Side)mentioning

confidence: 99%

SWITCH workbench: A novel approach for the development and deployment of time-critical microservice-based cloud-native applications

Štefanič

Cigale

Jones

et al. 2019

Future Generation Computer Systems

Self Cite

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“…have the most impact on an application's QoS. For more information on QMMs, see [2]. The investigation that is reported in the present paper provides information relevant to QMMs in the context of applications which make use of Graphics Processing Unit (GPU)-backed instances.…”

Section: Introductionmentioning

confidence: 99%

Towards extending the SWITCH platform for time-critical, cloud-based CUDA applications: Job scheduling parameters influencing performance

Knight

Štefanič

Cigale

et al. 2019

Future Generation Computer Systems

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SWITCH (Software Workbench for Interactive, Time Critical and Highly self-adaptive cloud applications) allows for the development and deployment of real-time applications in the cloud, but it does not yet support instances backed by Graphics Processing Units (GPUs). Wanting to explore how SWITCH might support CUDA (a GPU architecture) in the future, we have undertaken a review of time-critical CUDA applications, discovering that run-time requirements (which we call 'wall time') are in many cases regarded as the most important. We have performed experiments to investigate which parameters have the greatest impact on wall time when running multiple Amazon Web Services GPU-backed instances. Although a maximum of 8 single-GPU instances can be launched in a single Amazon Region, launching just 2 instances rather than 1 gives a 42% decrease in wall time. Also, instances are often wasted doing nothing, and there is a moderatelystrong relationship between how problems are distributed across instances and wall time. These findings can be used to enhance the SWITCH provision for specifying Non-Functional Requirements (NFRs); in the future, GPU-backed instances could be supported. These findings can also be used more generally, to optimise the balance between the computational resources needed and the resulting wall time to obtain results.

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Enhancing the Microservices Architecture for the Internet of Things

Al‐Masri

2018

2018 IEEE International Conference on Big Data (Big Data)

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Quality of Service Models for Microservices and Their Integration into the SWITCH IDE

Cited by 5 publications

References 7 publications

SWITCH workbench: A novel approach for the development and deployment of time-critical microservice-based cloud-native applications

SWITCH workbench: A novel approach for the development and deployment of time-critical microservice-based cloud-native applications

Towards extending the SWITCH platform for time-critical, cloud-based CUDA applications: Job scheduling parameters influencing performance

Enhancing the Microservices Architecture for the Internet of Things

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