Distributed Key-Value Storage for Edge Computing and Its Explicit Data Distribution Method

Takehiro NAGATO; Takumi TSUTANO; Tomio KAMADA; Yumi TAKAKI; Chikara OHTA

doi:10.1587/transcom.2019CPP0007

Distributed Key-Value Storage for Edge Computing and Its Explicit Data Distribution Method

Takehiro NAGATO, Takumi TSUTANO, Tomio KAMADA, Yumi TAKAKI, Chikara OHTA

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In this article, we propose a data framework for edge computing that allows developers to easily attain efficient data transfer between mobile devices or users. We propose a distributed key-value storage platform for edge computing and its explicit data distribution management method that follows the publish/subscribe relationships specific to applications. In this platform, edge servers organize the distributed key-value storage in a uniform namespace. To enable fast data access to a record in edge computing, the allocation strategy of the record and its cache on the edge servers is important. Our platform offers distributed objects that can dynamically change their home server and allocate cache objects proactively following user-defined rules. A rule is defined in a declarative manner and specifies where to place cache objects depending on the status of the target record and its associated records. The system can reflect record modification to the cached records immediately. We also integrate a push notification system using WebSocket to notify events on a specified table. We introduce a messaging service application between mobile appliances and several other applications to show how cache rules apply to them. We evaluate the performance of our system using some sample applications.

Publication: IEICE TRANSACTIONS on Communications Vol.E103-B No.1 pp.20-31

Publication Date: 2020/01/01

Publicized: 2019/08/05

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2019CPP0007

Type of Manuscript: Special Section PAPER (Special Section on Internet Architecture, Applications and Operation Technologies for a Cyber-Physical System)

Category: Network

Authors

Takehiro NAGATO
  Kobe University
Takumi TSUTANO
  Kobe University
Tomio KAMADA
  Kobe University
Yumi TAKAKI
  Kobe University
Chikara OHTA
  Kobe University

Keyword

edge computing, pub/sub system, distributed key-value storage, distributed cache

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Takehiro NAGATO, Takumi TSUTANO, Tomio KAMADA, Yumi TAKAKI, Chikara OHTA, "Distributed Key-Value Storage for Edge Computing and Its Explicit Data Distribution Method" in IEICE TRANSACTIONS on Communications, vol. E103-B, no. 1, pp. 20-31, January 2020, doi: 10.1587/transcom.2019CPP0007.
Abstract: In this article, we propose a data framework for edge computing that allows developers to easily attain efficient data transfer between mobile devices or users. We propose a distributed key-value storage platform for edge computing and its explicit data distribution management method that follows the publish/subscribe relationships specific to applications. In this platform, edge servers organize the distributed key-value storage in a uniform namespace. To enable fast data access to a record in edge computing, the allocation strategy of the record and its cache on the edge servers is important. Our platform offers distributed objects that can dynamically change their home server and allocate cache objects proactively following user-defined rules. A rule is defined in a declarative manner and specifies where to place cache objects depending on the status of the target record and its associated records. The system can reflect record modification to the cached records immediately. We also integrate a push notification system using WebSocket to notify events on a specified table. We introduce a messaging service application between mobile appliances and several other applications to show how cache rules apply to them. We evaluate the performance of our system using some sample applications.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2019CPP0007/_p

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@ARTICLE{e103-b_1_20,
author={Takehiro NAGATO, Takumi TSUTANO, Tomio KAMADA, Yumi TAKAKI, Chikara OHTA, },
journal={IEICE TRANSACTIONS on Communications},
title={Distributed Key-Value Storage for Edge Computing and Its Explicit Data Distribution Method},
year={2020},
volume={E103-B},
number={1},
pages={20-31},
abstract={In this article, we propose a data framework for edge computing that allows developers to easily attain efficient data transfer between mobile devices or users. We propose a distributed key-value storage platform for edge computing and its explicit data distribution management method that follows the publish/subscribe relationships specific to applications. In this platform, edge servers organize the distributed key-value storage in a uniform namespace. To enable fast data access to a record in edge computing, the allocation strategy of the record and its cache on the edge servers is important. Our platform offers distributed objects that can dynamically change their home server and allocate cache objects proactively following user-defined rules. A rule is defined in a declarative manner and specifies where to place cache objects depending on the status of the target record and its associated records. The system can reflect record modification to the cached records immediately. We also integrate a push notification system using WebSocket to notify events on a specified table. We introduce a messaging service application between mobile appliances and several other applications to show how cache rules apply to them. We evaluate the performance of our system using some sample applications.},
keywords={},
doi={10.1587/transcom.2019CPP0007},
ISSN={1745-1345},
month={January},}

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TY - JOUR
TI - Distributed Key-Value Storage for Edge Computing and Its Explicit Data Distribution Method
T2 - IEICE TRANSACTIONS on Communications
SP - 20
EP - 31
AU - Takehiro NAGATO
AU - Takumi TSUTANO
AU - Tomio KAMADA
AU - Yumi TAKAKI
AU - Chikara OHTA
PY - 2020
DO - 10.1587/transcom.2019CPP0007
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E103-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2020
AB - In this article, we propose a data framework for edge computing that allows developers to easily attain efficient data transfer between mobile devices or users. We propose a distributed key-value storage platform for edge computing and its explicit data distribution management method that follows the publish/subscribe relationships specific to applications. In this platform, edge servers organize the distributed key-value storage in a uniform namespace. To enable fast data access to a record in edge computing, the allocation strategy of the record and its cache on the edge servers is important. Our platform offers distributed objects that can dynamically change their home server and allocate cache objects proactively following user-defined rules. A rule is defined in a declarative manner and specifies where to place cache objects depending on the status of the target record and its associated records. The system can reflect record modification to the cached records immediately. We also integrate a push notification system using WebSocket to notify events on a specified table. We introduce a messaging service application between mobile appliances and several other applications to show how cache rules apply to them. We evaluate the performance of our system using some sample applications.
ER -