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SNTA '21: Proceedings of the 2021 on Systems and Network Telemetry and Analytics
ACM2021 Proceeding
  • General Chairs:
  • Massimo Cafaro,
  • Jinoh Kim,
  • Alex Sim
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing Virtual Event Sweden 21 June 2021
ISBN:
978-1-4503-8386-8
Published:
21 June 2021
Sponsors:
University of Arizona, SIGHPC, SIGARCH

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Skip Abstract Section
Abstract

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.

Skip Table Of Content Section
SESSION: Keynote 1
keynote
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 ...

SESSION: Technical Session 1
research-article
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 ...

research-article
Open Access
Analyzing Scientific Data Sharing Patterns for In-network Data Caching

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 ...

short-paper
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 ...

short-paper
Public Access
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 ...

SESSION: Keynote 2
keynote
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 ...

SESSION: Technical Session 2
research-article
Public Access
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 ...

short-paper
Open Access
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 ...

short-paper
Open Access
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 ...

Contributors
  • University of Salento
  • Texas A&M University-Commerce
  • Lawrence Berkeley National Laboratory

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Acceptance Rates

Overall Acceptance Rate 22 of 106 submissions, 21%
YearSubmittedAcceptedRate
SNTA '191062221%
Overall1062221%