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Wide Area Measurement Systems (WAMS) use an underlying communication network to collect and analyze data from devices in the power grid, aimed to improve grid operations. For WAMS to be effective, the communication network needs to support low packet latency and low packet losses. Internet Protocol (IP), the pervasive technology used in today’s communication networks uses loop-free best-paths for data forwarding, which increases the load on these paths causing delays and losses in delivery. Information-Centric Networking (ICN), a new networking paradigm, designed to enable a data-centric information sharing, natively supports the concurrent use of multiple transmission interfaces, in-networking caching, as well as per-packet security and can provide better application support. In this paper, we present , an ICN-based network architecture for wide area smart grid communications. We demonstrate through simulations that achieves low latency and 100% data delivery even during network congestion by leveraging multiple available paths; thus significantly improving communication resiliency in comparison to an IP-based approach. can be used immediately on today’s Internet as an overlay.
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A Survey on Packet Filtering
Packet filtering has remained a key network monitoring primitive over decades, even as networking has continuously evolved. In this article we present the results of a survey we ran to collect data from the networking community, including researchers and practitioners, about how packet filtering is used. In doing so, we identify pain points related to packet filtering, and unmet needs of survey participants. Based on analysis of this survey data, we propose future research and development goals that would support the networking community.
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- PAR ID:
- 10592444
- Publisher / Repository:
- ACM
- Date Published:
- Journal Name:
- ACM SIGCOMM Computer Communication Review
- Volume:
- 54
- Issue:
- 3
- ISSN:
- 0146-4833
- Page Range / eLocation ID:
- 2 to 9
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1145/3711992.3711994
