Empowering Dynamic Task-Based Applications with Agile Virtual Infrastructure Programmability

Zhou, Huan; Su, Jinshu; Chi, Mingmin; Laat, Cees de; Zhao, Zhiming

doi:10.1109/cloud.2018.00068

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…Even the virtual infrastructure can be planned in advance according to the application requirements [17]. Some other works focus on managing the infrastructure at different phases to provide better QoS assurance, such as the provisioning phase [18], the deployment phase [19], and the runtime phase [20]. In addition, several tools are developed to achieve effective virtual infrastructure management [21,22].…”

Section: Related Workmentioning

confidence: 99%

Mitigating stragglers to avoid QoS violation for time-critical applications through dynamic server blacklisting

Ouyang

Wang

2019

Future Generation Computer Systems

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Section: Related Workmentioning

confidence: 99%

Mitigating stragglers to avoid QoS violation for time-critical applications through dynamic server blacklisting

Ouyang

Wang

2019

Future Generation Computer Systems

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“…Because YAML format is human readable, which is easy to understand. The detailed infrastructure description is well explained in the online manual 3 or from our previous work [15].…”

Section: B Infrastructure Management and Description Syntaxmentioning

confidence: 99%

Migrating Live Streaming Applications onto Clouds: Challenges and a CloudStorm Solution

Zhou

Koulouzis

Wang

et al. 2018

2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion)

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Live TV production, due to its distributed nature, requires broadcasters to deploy equipments and human resources to several different places. This increases production costs. The traditional method through outside broadcasting vans is expensive. Migrating this type of application onto clouds is a promising method to reduce the cost. However, the Quality of Experience (QoE) can hardly be assured because of the cloud performance uncertainty. Auto-scaling the infrastructure based on dynamic workloads at runtime is also difficult. The feasibility of CloudsStorm framework, which is the core component of SWITCH (Software Workbench for Interactive, Time Critical and Highly self-adaptive Cloud applications) workbench, handling the lifecycle of the time critical application development and performance monitoring, infrastructure planning and provisioning, etc., is demonstrated with the aspect of live events broadcasting. It makes a significant attempt to fill the DevOps gap when migrating applications from legacy systems onto clouds. A live streaming application is demonstrated as a use case example.

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Profiling the scheduling decisions for handling critical paths in deadline-constrained cloud workflows

Taal

Wang

Laat

et al. 2019

Future Generation Computer Systems

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Empowering Dynamic Task-Based Applications with Agile Virtual Infrastructure Programmability

Cited by 3 publications

References 14 publications

Mitigating stragglers to avoid QoS violation for time-critical applications through dynamic server blacklisting

Mitigating stragglers to avoid QoS violation for time-critical applications through dynamic server blacklisting

Migrating Live Streaming Applications onto Clouds: Challenges and a CloudStorm Solution

Profiling the scheduling decisions for handling critical paths in deadline-constrained cloud workflows

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