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Interoperable GPU Kernels as Latency Improver for MEC [article]

Juuso Haavisto, Jukka Riekki
2020 arXiv   pre-print
Mixed reality (MR) applications are expected to become common when 5G goes mainstream. However, the latency requirements are challenging to meet due to the resources required by video-based remoting of graphics, that is, decoding video codecs. We propose an approach towards tackling this challenge: a client-server implementation for transacting intermediate representation (IR) between a mobile UE and a MEC server instead of video codecs and this way avoiding video decoding. We demonstrate the
more » ... ility to address latency bottlenecks on edge computing workloads that transact graphics. We select SPIR-V compatible GPU kernels as the intermediate representation. Our approach requires know-how in GPU architecture and GPU domain-specific languages (DSLs), but compared to video-based edge graphics, it decreases UE device delay by sevenfold. Further, we find that due to low cold-start times on both UEs and MEC servers, application migration can happen in milliseconds. We imply that graphics-based location-aware applications, such as MR, can benefit from this kind of approach.
arXiv:2001.09352v1 fatcat:ssvl3hnaibbwdaxnk63mgl6dgu

Interoperable GPU Kernels as Latency Improver for MEC

Juuso Haavisto, Jukka Riekki
2020 2020 2nd 6G Wireless Summit (6G SUMMIT)  
Mixed reality (MR) applications are expected to become common when 5G goes mainstream. However, the latency requirements are challenging to meet due to the resources required by video-based remoting of graphics, that is, decoding video codecs. We propose an approach towards tackling this challenge: a client-server implementation for transacting intermediate representation (IR) between a mobile UE and a MEC server instead of video codecs and this way avoiding video decoding. We demonstrate the
more » ... ility to address latency bottlenecks on edge computing workloads that transact graphics. We select SPIR-V compatible GPU kernels as the intermediate representation. Our approach requires know-how in GPU architecture and GPU domain-specific languages (DSLs), but compared to video-based edge graphics, it decreases UE device delay by sevenfold. Further, we find that due to low cold-start times on both UEs and MEC servers, application migration can happen in milliseconds. We imply that graphics-based location-aware applications, such as MR, can benefit from this kind of approach.
doi:10.1109/6gsummit49458.2020.9083751 dblp:conf/6gsummit/HaavistoR20 fatcat:k73rwmfw7rbpzgjudcgqxolyde

Open-source RANs in practice: an over-the-air deployment for 5G MEC [article]

Juuso Haavisto, Muhammad Arif, Lauri Lovén, Teemu Leppänen and Jukka Riekki
2019 arXiv   pre-print
Edge computing that leverages cloud resources to the proximity of user devices is seen as the future infrastructure for distributed applications. However, developing and deploying edge applications, that rely on cellular networks, is burdensome. Such network infrastructures are often based on proprietary components, each with unique programming abstractions and interfaces. To facilitate straightforward deployment of edge applications, we introduce OSS based RAN on OTA commercial spectrum with
more » ... vOps capabilities. OSS allows software modifications and integrations of the system components, e.g., EPC and edge hosts running applications, required for new data pipelines and optimizations not addressed in standardization. Such an OSS infrastructure enables further research and prototyping of novel end-user applications in an environment familiar to software engineers without telecommunications background. We evaluated the presented infrastructure with E2E OTA testing, resulting in 7.5MB/s throughput and latency of 21ms, which shows that the presented infrastructure provides low latency for edge applications.
arXiv:1905.03883v1 fatcat:kz77d3oeunb3jisjwdrzrxhhbq

SDN Enhanced Resource Orchestration for Industrial IoT in Containerized Edge Applications

Jude Okwuibe, Juuso Haavisto, Erkki Harjula, Ijaz Ahmad, Mika Ylianttila
2020 IEEE Access  
doi:10.1109/access.2020.3045563 fatcat:z4i4oczccrdczb5cdw4viau7re

An SDN-Enabled Resource Orchestration for Industrial IoT in Collaborative Edge-Cloud Networks

Jude Okwuibe, Juuso Haavisto, Ivana Kovacevic, Erkki Harjula, Ijaz Ahmad, Johirul Islam, Mika Ylianttila
2021 IEEE Access  
JUUSO HAAVISTO is an Erasmus Mundus Joint Master Degree (EMJMD) full scholarship student at the University of St Andrews, studying Advanced Systems Dependability.  ... 
doi:10.1109/access.2021.3105944 fatcat:fvysjtp54rdr7mzffmutqkxpcq

Phase I study with ONCOS-102 for the treatment of solid tumors – an evaluation of clinical response and exploratory analyses of immune markers

Tuuli Ranki, Sari Pesonen, Akseli Hemminki, Kaarina Partanen, Kalevi Kairemo, Tuomo Alanko, Johan Lundin, Nina Linder, Riku Turkki, Ari Ristimäki, Elke Jäger, Julia Karbach (+14 others)
2016 Journal for ImmunoTherapy of Cancer  
We conducted a phase I study with a granulocyte macrophage colony stimulating factor (GMCSF)expressing oncolytic adenovirus, ONCOS-102, in patients with solid tumors refractory to available treatments. The objectives of the study were to determine the optimal dose for further use and to assess the safety, tolerability and adverse event (AE) profile of ONCOS-102. Further, the response rate and overall survival were evaluated as well as preliminary evidence of disease control. As an exploratory
more » ... dpoint, the effect of ONCOS 102 on biological correlates was examined.
doi:10.1186/s40425-016-0121-5 pmid:26981247 pmcid:PMC4791966 fatcat:76xswzo6tnfgzagcklanryu3tm

Local treatment of a pleural mesothelioma tumor with ONCOS-102 induces a systemic antitumor CD8+T-cell response, prominent infiltration of CD8+lymphocytes and Th1 type polarization

Tuuli Ranki, Timo Joensuu, Elke Jäger, Julia Karbach, Claudia Wahle, Kalevi Kairemo, Tuomo Alanko, Kaarina Partanen, Riku Turkki, Nina Linder, Johan Lundin, Ari Ristimäki (+13 others)
2014 Oncoimmunology  
Disclosure of Potential Conflicts of Interest Ranki T, Backman C, Dienel K, Haavisto E, Hakonen T, Jaderberg M, Priha P, Vassilev L, Vuolanto A and Pesonen S are employees of and/or shareholders in Oncos  ... 
doi:10.4161/21624011.2014.958937 pmid:25941579 pmcid:PMC4292415 fatcat:23qook52effp3p3z6jkzn6a6ty