Reliable Server Pooling Based Workload Offloading with Mobile Edge Computing: A Proof-of-Concept

Thomas Dreibholz; Somnath  Mazumdar

doi:10.1007/978-3-030-75078-7_58

Reliable Server Pooling Based Workload Offloading with Mobile Edge Computing: A Proof-of-Concept

Thomas Dreibholz, Somnath Mazumdar

Institut for Digitalisering

Simula Metropolitan Center for Digital Engineering

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

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Abstract

In recent times, mobile broadband devices have become almost ubiquitous. However, battery-powered devices (such as smartphones), have limitations on energy consumption, computation power and storage space. Cloud computing and Mobile Edge Computing (MEC) can provide low-latency compute and storage services at the vicinity of the user, MEC in particular due to the upcoming 5G networks. However, the complexity lies in how to simply and efficiently realise MEC services, with the auxiliary public (multi-)cloud resources? In this paper, we propose a proof-of-concept for using Reliable Server Pooling (RSerPool) as a light-weight layer of managing resource pools and handling application sessions with these pools. Our approach is simple, efficient, has low overhead and is available as open source. Here, we demonstrate the usefulness of our approach by measuring in a test setup, with a 4G testbed connected to MEC and public multi-cloud resources.

Originalsprog	Engelsk
Titel	Advanced Information Networking and Applications : Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 3
Redaktører	Leonard Barolli, Isaac Woungang, Tomoya Enokido
Antal sider	12
Udgivelsessted	Cham
Forlag	Springer
Publikationsdato	2021
Sider	582-593
ISBN (Trykt)	9783030750770
ISBN (Elektronisk)	9783030750787
DOI	https://doi.org/10.1007/978-3-030-75078-7_58
Status	Udgivet - 2021
Begivenhed	The 35th International Conference on Advanced Information Networking and Applications. AINA-2021 - Ryerson University (Online), Toronto, Canada Varighed: 12 maj 2021 → 14 maj 2021 Konferencens nummer: 35 http://voyager.ce.fit.ac.jp/conf/aina/2021/

Konference

Konference	The 35th International Conference on Advanced Information Networking and Applications. AINA-2021
Nummer	35
Lokation	Ryerson University (Online)
Land/Område	Canada
By	Toronto
Periode	12/05/2021 → 14/05/2021
Internetadresse	http://voyager.ce.fit.ac.jp/conf/aina/2021/

Navn	Lecture Notes in Networks and Systems
Nummer	227
ISSN	2367-3370

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Dreibholz, T., & Mazumdar, S. (2021). Reliable Server Pooling Based Workload Offloading with Mobile Edge Computing: A Proof-of-Concept. I L. Barolli, I. Woungang, & T. Enokido (red.), Advanced Information Networking and Applications: Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 3 (s. 582-593). Springer. https://doi.org/10.1007/978-3-030-75078-7_58

Dreibholz, Thomas ; Mazumdar, Somnath . / Reliable Server Pooling Based Workload Offloading with Mobile Edge Computing : A Proof-of-Concept. Advanced Information Networking and Applications: Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 3. red. / Leonard Barolli ; Isaac Woungang ; Tomoya Enokido. Cham : Springer, 2021. s. 582-593 (Lecture Notes in Networks and Systems; Nr. 227).

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title = "Reliable Server Pooling Based Workload Offloading with Mobile Edge Computing: A Proof-of-Concept",

abstract = "In recent times, mobile broadband devices have become almost ubiquitous. However, battery-powered devices (such as smartphones), have limitations on energy consumption, computation power and storage space. Cloud computing and Mobile Edge Computing (MEC) can provide low-latency compute and storage services at the vicinity of the user, MEC in particular due to the upcoming 5G networks. However, the complexity lies in how to simply and efficiently realise MEC services, with the auxiliary public (multi-)cloud resources? In this paper, we propose a proof-of-concept for using Reliable Server Pooling (RSerPool) as a light-weight layer of managing resource pools and handling application sessions with these pools. Our approach is simple, efficient, has low overhead and is available as open source. Here, we demonstrate the usefulness of our approach by measuring in a test setup, with a 4G testbed connected to MEC and public multi-cloud resources.",

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Dreibholz, T & Mazumdar, S 2021, Reliable Server Pooling Based Workload Offloading with Mobile Edge Computing: A Proof-of-Concept. i L Barolli, I Woungang & T Enokido (red), Advanced Information Networking and Applications: Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 3. Springer, Cham, Lecture Notes in Networks and Systems, nr. 227, s. 582-593, The 35th International Conference on Advanced Information Networking and Applications. AINA-2021, Toronto, Ontario, Canada, 12/05/2021. https://doi.org/10.1007/978-3-030-75078-7_58

Reliable Server Pooling Based Workload Offloading with Mobile Edge Computing: A Proof-of-Concept. / Dreibholz, Thomas; Mazumdar, Somnath .
Advanced Information Networking and Applications: Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 3. red. / Leonard Barolli; Isaac Woungang; Tomoya Enokido. Cham: Springer, 2021. s. 582-593 (Lecture Notes in Networks and Systems; Nr. 227).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

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T1 - Reliable Server Pooling Based Workload Offloading with Mobile Edge Computing

T2 - The 35th International Conference on Advanced Information Networking and Applications. AINA-2021

AU - Dreibholz, Thomas

AU - Mazumdar, Somnath

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N2 - In recent times, mobile broadband devices have become almost ubiquitous. However, battery-powered devices (such as smartphones), have limitations on energy consumption, computation power and storage space. Cloud computing and Mobile Edge Computing (MEC) can provide low-latency compute and storage services at the vicinity of the user, MEC in particular due to the upcoming 5G networks. However, the complexity lies in how to simply and efficiently realise MEC services, with the auxiliary public (multi-)cloud resources? In this paper, we propose a proof-of-concept for using Reliable Server Pooling (RSerPool) as a light-weight layer of managing resource pools and handling application sessions with these pools. Our approach is simple, efficient, has low overhead and is available as open source. Here, we demonstrate the usefulness of our approach by measuring in a test setup, with a 4G testbed connected to MEC and public multi-cloud resources.

AB - In recent times, mobile broadband devices have become almost ubiquitous. However, battery-powered devices (such as smartphones), have limitations on energy consumption, computation power and storage space. Cloud computing and Mobile Edge Computing (MEC) can provide low-latency compute and storage services at the vicinity of the user, MEC in particular due to the upcoming 5G networks. However, the complexity lies in how to simply and efficiently realise MEC services, with the auxiliary public (multi-)cloud resources? In this paper, we propose a proof-of-concept for using Reliable Server Pooling (RSerPool) as a light-weight layer of managing resource pools and handling application sessions with these pools. Our approach is simple, efficient, has low overhead and is available as open source. Here, we demonstrate the usefulness of our approach by measuring in a test setup, with a 4G testbed connected to MEC and public multi-cloud resources.

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Dreibholz T, Mazumdar S. Reliable Server Pooling Based Workload Offloading with Mobile Edge Computing: A Proof-of-Concept. I Barolli L, Woungang I, Enokido T, red., Advanced Information Networking and Applications: Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 3. Cham: Springer. 2021. s. 582-593. (Lecture Notes in Networks and Systems; Nr. 227). doi: 10.1007/978-3-030-75078-7_58