The 4th International Workshop on Systems and Network Telemetry and Analytics (SNTA 2021), a full-day virtual meeting at the HPDC 2021 conference in Stockholm, Sweden, aims at bridging the systems and network telemetry and the latest advances in machine learning and data science technologies, to advance the performance and reliability of HPC and distributed systems.
The tasks of systems and network telemetry are a key element for effective operations and management of HPC and distributed computing systems, by offering comprehensive monitoring and analysis capabilities to provide the visibility into what is occurring at any time. The tasks will be significantly complicated with the greater complexity of computing systems, increasing network speed, and the newly introduced mobile and IoT devices. Such changes and advances in technology will require more scalable telemetry and analysis techniques for data-driven diagnostics and deeper data analysis. In addition to the quantitative and qualitative challenges, data pressure in systems and networks also comes from various sources such as end systems, switches, firewalls, intrusion sensors, and the newly emerging network elements speaking with different syntax and semantics, which makes organizing and incorporating the generated data difficult for extensive analysis. This workshop aims at bridging the systems and network telemetry and the latest advances in machine learning and data science technologies, to advance the performance and reliability of HPC and distributed systems, and sharing visions of investigating new approaches and methods at the intersection of HPC systems and data sciences from the diverse angles of systems/network performance, availability, and security.
This year, the conference meeting was held virtually again due to the COVID-19 pandemic. Putting together SNTA2021 was very hard, but with the team effort, we expect another successful organization of the full-day workshop. The workshop has about 87.5% of acceptance rate, after a rigorous review process. We would like to thank all authors who submitted to the workshop. The diverse submission and selection assure interesting discussions and most importantly out-of-the-box thinking and generation of new ideas during the workshop. We'd also like to thank the keynote speakers who gave excellent presentations on very interesting and relevant topics to the workshop. We are grateful to the program committee, who worked very hard in reviewing papers and providing feedback for authors in such a difficult situation.
Proceeding Downloads
INODE - Intelligence Open Data Exploration
This article describes the keynote speech on INODE presented at Fourth International Workshop on Systems and Network Telemetry and Analytics (SNTA) which is collocated with International ACM Symposium on High-Performance Parallel and Distributed ...
Evaluations of Network Performance Enhancement on Cloud-native Network Function
Cloud-native network function (CNF) has progressively become a considerable solution adopted by telecom operators to provide network services. The deployment architecture of CNF can support a massive scale with low operational overhead compared to ...
Analyzing Scientific Data Sharing Patterns for In-network Data Caching
- Elizabeth Copps,
- Huiyi Zhang,
- Alex Sim,
- Kesheng Wu,
- Inder Monga,
- Chin Guok,
- Frank Würthwein,
- Diego Davila,
- Edgar Fajardo
The volume of data moving through a network increases with new scientific experiments and simulations. Network bandwidth requirements also increase proportionally to deliver data within a certain time frame. We observe that a significant portion of the ...
A Hybrid Virtual Network Function Placement Strategy for Maximizing the Profit of Network Service Deployment over Dynamic Workload
The emergence of network function virtualization~(NFV) has revolutionized the infrastructure and service management of network architecture by reducing the cost and complexity of network service deployment. However, finding the optimal placement of ...
Characterizing Resource Heterogeneity in Edge Devices for Deep Learning Inferences
Significant advances in hardware capabilities and the availability of enormous data sets have led to the rise and penetration of artificial intelligence (AI) and deep learning (DL) in various domains. Considerable efforts have been put forth in academia ...
Recent Advances and Future Challenges for Network Function Virtualization Infrastructure
Today's enterprise networks has revolutionized by the emerging technology called Network function virtualization (NFV), which is a type of data center network architecture proposed by the European Telecommunications Standards Institute (ETSI). NFV uses ...
GPU-based Classification for Wireless Intrusion Detection
Automated network intrusion detection systems (NIDS) continuously monitor the network traffic to detect attacks or/and anomalies. These systems need to be able to detect attacks and alert network engineers in real-time. Therefore, modern NIDS are built ...
Programmable Per-Packet Network Telemetry: From Wire to Kafka at Scale
Efficient and secure management of networks requires collecting and analyzing fine-grained telemetry data, preferably in real-time. Existing monitoring and analysis frameworks (e.g., Netflow, SNMP counters) do not provide fine-grained, per-packet ...
Access Patterns to Disk Cache for Large Scientific Archive
Large scientific projects are increasing relying on analyses of data for their new discoveries; and a number of different data management systems have been developed to serve this scientific projects. In the work-in-progress paper, we describe an effort ...
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
SNTA '19 | 106 | 22 | 21% |
Overall | 106 | 22 | 21% |