Abstract
Fog services have been gaining momentum due to the demand generated by IoT-based services that require data and services to be provided at the edge of the network. This phenomenon creates several problems for Internet systems, such as security, and data management. Particularly, edge and fog computing addresses these problems and provides new services by solving these issues. To this end, a service-oriented router (SoR) was proposed and extended to provide edge and fog services by performing authorized stream content analysis (ASCA). Packet Capture (Libpcap) library was used to develop the initial implementation of the SoR to perform ASCA using conventional hardware and software platforms. However, Libpcap implementation together with conventional hardware demonstrated limited performance. Consequently, this paper proposes a method using Intel technologies such as the Intel Data Plane Development Kit and Hyperscan to accelerate stream processing and string matching on SoRs. The paper compares both implementations of SoRs and evaluates the performance with regard to packet throughput, CPU utilization, and memory usage. Furthermore, the latency of major functions is evaluated under Libpcap-based and DPDK-based SoR implementations. The results demonstrate an increase of more than 0.8 Gbps in bandwidth in a 1 Gbps link using less hardware utilization when SoR is implemented using Intel technologies compared to the original Libpcap implementation.
| Original language | English |
|---|---|
| Pages (from-to) | 891-899 |
| Number of pages | 9 |
| Journal | IEEJ Transactions on Electronics, Information and Systems |
| Volume | 139 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 2019 Jan 1 |
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Keywords
- : Smart Community
- Data Plane Development
- Packet Inspection
- Packet Processing
ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
Software-accelerated Service-oriented Router for Edge and Fog Service Enhancement Using Advanced Stream Content Analysis. / Shanaka, W. A.; Abeysiriwardhana, P.; Wijekoon, Janaka; Tennekoon, Rajitha L.; Nishi, Hiroaki.
In: IEEJ Transactions on Electronics, Information and Systems, Vol. 139, No. 8, 01.01.2019, p. 891-899.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Software-accelerated Service-oriented Router for Edge and Fog Service Enhancement Using Advanced Stream Content Analysis
AU - Shanaka, W. A.
AU - Abeysiriwardhana, P.
AU - Wijekoon, Janaka
AU - Tennekoon, Rajitha L.
AU - Nishi, Hiroaki
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Fog services have been gaining momentum due to the demand generated by IoT-based services that require data and services to be provided at the edge of the network. This phenomenon creates several problems for Internet systems, such as security, and data management. Particularly, edge and fog computing addresses these problems and provides new services by solving these issues. To this end, a service-oriented router (SoR) was proposed and extended to provide edge and fog services by performing authorized stream content analysis (ASCA). Packet Capture (Libpcap) library was used to develop the initial implementation of the SoR to perform ASCA using conventional hardware and software platforms. However, Libpcap implementation together with conventional hardware demonstrated limited performance. Consequently, this paper proposes a method using Intel technologies such as the Intel Data Plane Development Kit and Hyperscan to accelerate stream processing and string matching on SoRs. The paper compares both implementations of SoRs and evaluates the performance with regard to packet throughput, CPU utilization, and memory usage. Furthermore, the latency of major functions is evaluated under Libpcap-based and DPDK-based SoR implementations. The results demonstrate an increase of more than 0.8 Gbps in bandwidth in a 1 Gbps link using less hardware utilization when SoR is implemented using Intel technologies compared to the original Libpcap implementation.
AB - Fog services have been gaining momentum due to the demand generated by IoT-based services that require data and services to be provided at the edge of the network. This phenomenon creates several problems for Internet systems, such as security, and data management. Particularly, edge and fog computing addresses these problems and provides new services by solving these issues. To this end, a service-oriented router (SoR) was proposed and extended to provide edge and fog services by performing authorized stream content analysis (ASCA). Packet Capture (Libpcap) library was used to develop the initial implementation of the SoR to perform ASCA using conventional hardware and software platforms. However, Libpcap implementation together with conventional hardware demonstrated limited performance. Consequently, this paper proposes a method using Intel technologies such as the Intel Data Plane Development Kit and Hyperscan to accelerate stream processing and string matching on SoRs. The paper compares both implementations of SoRs and evaluates the performance with regard to packet throughput, CPU utilization, and memory usage. Furthermore, the latency of major functions is evaluated under Libpcap-based and DPDK-based SoR implementations. The results demonstrate an increase of more than 0.8 Gbps in bandwidth in a 1 Gbps link using less hardware utilization when SoR is implemented using Intel technologies compared to the original Libpcap implementation.
KW - : Smart Community
KW - Data Plane Development
KW - Packet Inspection
KW - Packet Processing
UR - http://www.scopus.com/inward/record.url?scp=85069931487&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85069931487&partnerID=8YFLogxK
U2 - 10.1541/ieejeiss.139.891
DO - 10.1541/ieejeiss.139.891
M3 - Article
AN - SCOPUS:85069931487
VL - 139
SP - 891
EP - 899
JO - IEEJ Transactions on Electronics, Information and Systems
JF - IEEJ Transactions on Electronics, Information and Systems
SN - 0385-4221
IS - 8
ER -