Post on 30-Dec-2020
SOFTWARE-DEFINED MOBILE CLOUD
Applications‘ tuning and optimal resource allocation
Huber Flores
huber.flores@helsinki.fi
Helsinki, Finland.
Agenda
• Software-defined adaptation for mobile cloud
– Challenges and opportunities
– System overview
• Applications‘ tuning
– Quality of Experience (QoE)
• Optimal resource allocation
– Quality of Service (QoS)
Helsinki, Finland.
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Software-defined networking
• OpenFlow
Helsinki, Finland.
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Software-defined mobile cloud
Helsinki, Finland.
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Software-defined mobile cloud
Helsinki, Finland.
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Software-defined mobile cloud
Helsinki, Finland. [ICDCS] Flores, Huber, et al. “Modeling Mobile Code Acceleration in the Cloud" , Proceeding of ICDCS 2017, Atlanta, USA, June 5-8, 2017.
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3G and LTE technologies
Helsinki, Finland. [PMC] Flores, Huber, et al. "Social-aware hybrid mobile offloading." Pervasive and Mobile Computing
(2016).
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Levels of code acceleration
Helsinki, Finland.
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SDN-Accelerator
Helsinki, Finland.
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Mobile performance
Helsinki, Finland.
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Mobile performance
Helsinki, Finland.
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Workload management and fidelity
Helsinki, Finland.
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Workload management
Helsinki, Finland.
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Workload management
Helsinki, Finland.
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Application fidelity
Helsinki, Finland.
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Application fidelity
Helsinki, Finland.
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Take aways
• Modeling code acceleration is a tough challenge. Segregation of computational infrastructure is not that obvious.
• Cloud can provision different levels of code acceleration
– Opportunities for extending mobile hardware lifespan
• The response time of mobile applications can be moderated without further instrumentation by using software define techniques
Helsinki, Finland.
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Assignment
• 4rd reading
– Satyanarayanan, Mahadev, et al. "Edge analytics in the internet of things." IEEE Pervasive Computing 14.2 (2015): 24-31.
– Bonomi, Flavio, et al. "Fog computing and its role in the internet of things." Proceedings of the first edition of the MCC workshop on Mobile cloud computing. ACM, 2012.
Helsinki, Finland.
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QUESTIONS
Helsinki, Finland.
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PROGRESS REPORT SESSION
Helsinki, Finland.
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