TY - GEN
T1 - Practical continuous aggregation in wireless edge environments
AU - Costa, Pedro Ákos
AU - Leitão, João
N1 - info:eu-repo/grantAgreement/EC/H2020/732505/EU#
info:eu-repo/grantAgreement/FCT/5876/147279/PT#
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PY - 2019/1/15
Y1 - 2019/1/15
N2 - The edge computing paradigm brings the promise of overcoming the practical scalability limitations of cloud computing, that are a result of the high volume of data produced by Internet of Things (IoT) and other large-scale applications. The principle of edge computing is to move computations beyond the data center, closer to end-user devices where data is generated and consumed. This new paradigm creates the opportunity for edge-enabled systems and applications, that have components executing directly and cooperatively on edge devices. Having systems' components, actively and directly, collaborating in the edge, requires some form of distributed monitoring as to adapt to variable operational conditions. Monitoring requires efficient ways to aggregate information collected from multiple devices. In particular, and considering some IoT applications, monitoring will happen among devices that communicate primarily via wireless channels. In this paper we study the practical performance of several distributed continuous aggregation protocols in the wireless ad hoc setting, and propose a novel protocol that is more precise and robust than competing alternative.
AB - The edge computing paradigm brings the promise of overcoming the practical scalability limitations of cloud computing, that are a result of the high volume of data produced by Internet of Things (IoT) and other large-scale applications. The principle of edge computing is to move computations beyond the data center, closer to end-user devices where data is generated and consumed. This new paradigm creates the opportunity for edge-enabled systems and applications, that have components executing directly and cooperatively on edge devices. Having systems' components, actively and directly, collaborating in the edge, requires some form of distributed monitoring as to adapt to variable operational conditions. Monitoring requires efficient ways to aggregate information collected from multiple devices. In particular, and considering some IoT applications, monitoring will happen among devices that communicate primarily via wireless channels. In this paper we study the practical performance of several distributed continuous aggregation protocols in the wireless ad hoc setting, and propose a novel protocol that is more precise and robust than competing alternative.
KW - Aggregation Protocols
KW - Distributed Fault-Tolerant Protocols
KW - Edge Computing
KW - Wireless ad hoc
UR - http://www.scopus.com/inward/record.url?scp=85062078191&partnerID=8YFLogxK
U2 - 10.1109/SRDS.2018.00015
DO - 10.1109/SRDS.2018.00015
M3 - Conference contribution
AN - SCOPUS:85062078191
VL - 2019-October
T3 - Symposium on Reliable Distributed Systems Proceedings
SP - 41
EP - 50
BT - Proceedings - 2018 IEEE 37th Symposium on Reliable Distributed Systems, SRDS 2018
PB - IEEE Computer Society
T2 - 37th Symposium on Reliable Distributed Systems, SRDS 2018
Y2 - 2 October 2018 through 5 October 2018
ER -