[agents] [AIOPS 2021] Call for submissions (remainder)

Jasmin Bogatinovski jasmin.bogatinovski at gmail.com
Wed Aug 25 08:14:16 EDT 2021


CALL FOR SUBMISSIONS

Second International Workshop on Artificial Intelligence for IT Operations

collocated with

The 19-th International Conference on Service Oriented Computing (ICSOC
2021)

Dubai, UAE, November 22, 2021

   >>> https://aiops2021.github.io/ <<<

SUBMISSIONS ARE NOW OPEN at:

https://easychair.org/conferences/?conf=aiops2021

The official Call for Papers can be found at:

https://easychair.org/cfp/AIOPS2021

Submission deadline: September 30, 2021

Scope

Large-scale IT systems, such as data centres, cloud computing environments,
edge clouds, IoT and embedded environments, are the key enablers of digital
transformation. Managing such systems puts an enormous burden on the
operators in dealing with the abundance of data, oftentimes leading to
severe economic implications. To mitigate this issue IT operators
increasingly rely on tools from artificial intelligence for assistance in
the operation of IT systems.

Artificial Intelligence for IT Operations (AIOps) is an emerging field
arising in the intersection between the research areas of machine learning,
big data, streaming analytics, and the management of IT operations. The
main goal is the analysis of system information of heterogeneous type
(metrics, logs, customer input, etc) to support administrators by
optimizing various objectives like prevention of SLA violation, early
anomaly detection and auto-remediation, energy-efficient system operation,
providing optimal QoE for customers, predictive maintenance and many more.
In this field, a constantly growing interest can be observed, and thus,
practical tools are developed from both the academy and industry sector. We
envision that, with the advance of AIOps technologies, the IT industry will
achieve significant progress and sustained and exponential growth.

The main focus of this workshop is to bring together researchers from both
academia and industry to present their experiences, results, and work in
progress in this field. A major part of the workshop is to strengthen the
community and unite it towards the efforts for solving the main challenges.

Topics of interest are the following:

   -

   Early anomaly, fault and failure (AFF) detection and analysis
   -

   Software dependability
   -

   Self-healing, self-correction and auto-remediation
   -

   Self-adaptive time-series based models for prognostics and forecasting
   -

   AFF identification, localization, and isolation
   -

   Root cause analysis
   -

   Adaptive fault tolerance policies
   -

   Forecasting of hardware and process quality
   -

   Performance management
   -

   Planning under uncertainty
   -

   Predictive and prescriptive maintenance
   -

   Maintenance scheduling and on-demand maintenance planning
   -

   Alarm correlation
   -

   Log analysis
   -

   Fault-tolerant system control
   -

   Resiliency, reliability, and quality assurance
   -

   Autonomic process optimization
   -

   Energy-efficient cloud operation
   -

   Distributed resource management
   -

   Autonomous service provisioning
   -

   Visual analytics and interactive machine learning
   -

   Active and life-long learning
   -

   Design of experiment (DoE) and benchmarking
   -

   Fault injection and chaos engineering
   -

   Use-cases, testbeds, evaluation scenarios

Publication: Post-workshop proceedings in Springer’s LNCS series.

Venue: collocated with ICSOC 2021 conference in Dubai 22 November 2021.

More information: http://www.icsoc.org/, AIOPS2021
<https://aiops2021.github.io/> (aiops2021.github.io/)


Important Dates:
Paper submission deadline: September 30, 2021
Acceptance notification: October 30, 2021

All deadlines are in Samoa Standard Time (SST = GMT – 11). Check the time
in the SST Zone here: https://time.is/SST.

Contact

Questions about submissions:  aiops2021 at googlegroups.com

Organizers

Roberto Natella, University of Naples Federico II, Italy

Jasmin Bogatinovski, Technical University Berlin, Germany


Please accept our apologies for cross-posting.
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