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

Department of Digitalization

Centre for Resilient Networks and Applications, Simula Metropolitan Centre for Digital Engineering

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › 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.

Original language	English
Title of host publication	Advanced Information Networking and Applications : Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 3
Editors	Leonard Barolli, Isaac Woungang, Tomoya Enokido
Number of pages	12
Place of Publication	Cham
Publisher	Springer
Publication date	2021
Pages	582-593
ISBN (Print)	9783030750770
ISBN (Electronic)	9783030750787
DOIs	https://doi.org/10.1007/978-3-030-75078-7_58
Publication status	Published - 2021
Event	The 35th International Conference on Advanced Information Networking and Applications. AINA-2021 - Ryerson University (Online), Toronto, Canada Duration: 12 May 2021 → 14 May 2021 Conference number: 35 http://voyager.ce.fit.ac.jp/conf/aina/2021/

Conference

Conference	The 35th International Conference on Advanced Information Networking and Applications. AINA-2021
Number	35
Location	Ryerson University (Online)
Country/Territory	Canada
City	Toronto
Period	12/05/2021 → 14/05/2021
Internet address	http://voyager.ce.fit.ac.jp/conf/aina/2021/

Series	Lecture Notes in Networks and Systems
Number	227
ISSN	2367-3370

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Cite this

Dreibholz, T., & Mazumdar, S. (2021). Reliable Server Pooling Based Workload Offloading with Mobile Edge Computing: A Proof-of-Concept. In L. Barolli, I. Woungang, & T. Enokido (Eds.), Advanced Information Networking and Applications: Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 3 (pp. 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. editor / Leonard Barolli ; Isaac Woungang ; Tomoya Enokido. Cham : Springer, 2021. pp. 582-593 (Lecture Notes in Networks and Systems; No. 227).

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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.",

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Dreibholz, T & Mazumdar, S 2021, Reliable Server Pooling Based Workload Offloading with Mobile Edge Computing: A Proof-of-Concept. in L Barolli, I Woungang & T Enokido (eds), 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, no. 227, pp. 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. ed. / Leonard Barolli; Isaac Woungang; Tomoya Enokido. Cham: Springer, 2021. p. 582-593 (Lecture Notes in Networks and Systems; No. 227).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AU - Mazumdar, Somnath

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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. In Barolli L, Woungang I, Enokido T, editors, Advanced Information Networking and Applications: Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 3. Cham: Springer. 2021. p. 582-593. (Lecture Notes in Networks and Systems; No. 227). doi: 10.1007/978-3-030-75078-7_58