TY - GEN
T1 - EDGESTORE
T2 - 2018 IEEE International Conference on Edge Computing, EDGE 2018
AU - Khan, Awais
AU - Muhammad, Attique
AU - Kim, Youngjae
AU - Park, Sungyong
AU - Tak, Byungchul
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/26
Y1 - 2018/9/26
N2 - With the increasing adoption of edge computing, the capacity requirements of the edge servers are also growing. Especially the data volume generated from a large number of edge clients and/or edge devices demand more capacity to be able to store them for processing. The growing gap between the data volume and current storage capacity is motivating the need towards building aggregated storage spaces. Aggregated storage can be an effective way to extend edge servers' overall storage capacity by combining storage resources of other nodes under the agreement to share. Several Federation file systems exist to meet this aggregate storage needs but are not without limitations. Dependency to the specific software stack makes it unfit for general-purpose use and they often neglect important features critical for the performance. In this paper, we address the important challenges of building the Federation on top of edge servers with the heterogeneous file system and resource configurations. We prototyped EDGESTORE, a Federation File System for Edge Servers. EDGESTORE equips the users with an aggregate storage namespace and federates resources of edge servers, to enable high resource-sharing in Federation. We propose, Job and Resource-Aware Request Placement algorithm (JRAP) to take advantage of edge server resource heterogeneity. To evaluate the usefulness of EDGESTORE, we consider two federation scenarios i) with same resource configurations and ii) with different resource configurations. We evaluate the efficacy of various big data applications from data storage to analysis using EDGESTORE on a real testbed.
AB - With the increasing adoption of edge computing, the capacity requirements of the edge servers are also growing. Especially the data volume generated from a large number of edge clients and/or edge devices demand more capacity to be able to store them for processing. The growing gap between the data volume and current storage capacity is motivating the need towards building aggregated storage spaces. Aggregated storage can be an effective way to extend edge servers' overall storage capacity by combining storage resources of other nodes under the agreement to share. Several Federation file systems exist to meet this aggregate storage needs but are not without limitations. Dependency to the specific software stack makes it unfit for general-purpose use and they often neglect important features critical for the performance. In this paper, we address the important challenges of building the Federation on top of edge servers with the heterogeneous file system and resource configurations. We prototyped EDGESTORE, a Federation File System for Edge Servers. EDGESTORE equips the users with an aggregate storage namespace and federates resources of edge servers, to enable high resource-sharing in Federation. We propose, Job and Resource-Aware Request Placement algorithm (JRAP) to take advantage of edge server resource heterogeneity. To evaluate the usefulness of EDGESTORE, we consider two federation scenarios i) with same resource configurations and ii) with different resource configurations. We evaluate the efficacy of various big data applications from data storage to analysis using EDGESTORE on a real testbed.
KW - Edge Computing and Storage
KW - Federation File Systems
KW - Resource Management
UR - https://www.scopus.com/pages/publications/85055628583
U2 - 10.1109/EDGE.2018.00021
DO - 10.1109/EDGE.2018.00021
M3 - Conference contribution
AN - SCOPUS:85055628583
T3 - Proceedings - 2018 IEEE International Conference on Edge Computing, EDGE 2018 - Part of the 2018 IEEE World Congress on Services
SP - 101
EP - 108
BT - Proceedings - 2018 IEEE International Conference on Edge Computing, EDGE 2018 - Part of the 2018 IEEE World Congress on Services
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 2 July 2018 through 7 July 2018
ER -