<div dir="ltr"><p dir="ltr" style="line-height:1.38;text-align:center;margin-top:0pt;margin-bottom:0pt"></p><div style="text-align:left">Dear colleagues,</div>
<div style="text-align:left"><br></div><div style="text-align:left">apologize for cross-posting.</div>
<div style="text-align:left"><br></div><div style="text-align:left">We invite you to consider submitting your research at the 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.
(<a class="gmail-moz-txt-link-freetext" href="https://aiops2021.github.io/">https://aiops2021.github.io/</a>)</div>
<div style="text-align:left"><b><br></b></div><div style="text-align:left"><b>Submissions are open at:
</b><a class="gmail-moz-txt-link-freetext" href="https://easychair.org/conferences/?conf=aiops2021">https://easychair.org/conferences/?conf=aiops2021</a></div><div style="text-align:left">The official Call for Papers can be found at:
<a class="gmail-moz-txt-link-freetext" href="https://easychair.org/cfp/AIOPS2021">https://easychair.org/cfp/AIOPS2021</a></div>
<div style="text-align:left"><br></div><div style="text-align:left"><b>Submission deadline: </b>September 30, 2021</div>
<div style="text-align:left"><br></div><div style="text-align:left"><b>Scope</b></div>
<div style="text-align:left"><br></div><div style="text-align:left">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.</div>
<div style="text-align:left"><br></div><div style="text-align:left">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.</div>
<div style="text-align:left"><br></div><div style="text-align:left">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.</div>
<div style="text-align:left"><br></div><div style="text-align:left"><b>Topics of interest are the following:</b></div><div style="text-align:left"><ul><li>Early anomaly, fault and failure (AFF) detection and analysis</li><li>Software dependability</li><li>Self-healing, self-correction and auto-remediation</li><li>Self-adaptive time-series based models for prognostics and forecasting</li><li>AFF identification, localization, and isolation</li><li>Root cause analysis</li><li>Adaptive fault tolerance policies</li><li>Forecasting of hardware and process quality</li><li>Performance management</li><li>Planning under uncertainty</li><li>Predictive and prescriptive maintenance</li><li>Maintenance scheduling and on-demand maintenance planning</li><li>Alarm correlation</li><li>Log analysis</li><li>Fault-tolerant system control</li><li>Resiliency, reliability, and quality assurance</li><li>Autonomic process optimization</li><li>Energy-efficient cloud operation</li><li>Distributed resource management</li><li>Autonomous service provisioning</li><li>Visual analytics and interactive machine learning</li><li>Active and life-long learning</li><li>Design of experiment (DoE) and benchmarking</li><li>Fault injection and chaos engineering</li><li>Use-cases, testbeds, evaluation scenarios</li></ul></div>
<div style="text-align:left"><br></div><div style="text-align:left"><b>Publication:</b> Post-workshop proceedings in Springer’s LNCS series.</div><div style="text-align:left"><b>Venue: </b>collocated with ICSOC 2021 conference in Dubai 22 November 2021.</div><div style="text-align:left"><b>More information:</b> <a class="gmail-moz-txt-link-freetext" href="http://www.icsoc.org/">http://www.icsoc.org/</a>, AIOPS2021 (<a href="http://aiops2021.github.io/">aiops2021.github.io/</a>)</div>
<div style="text-align:left"><br></div><div style="text-align:left"><b>Important Dates:</b></div><div style="text-align:left">Paper submission deadline: September 30, 2021</div><div style="text-align:left">Acceptance notification: October 30, 2021</div><div style="text-align:left">All deadlines are in Samoa Standard Time (SST = GMT – 11). Check the
time in the SST Zone here: <a class="gmail-moz-txt-link-freetext" href="https://time.is/SST">https://time.is/SST</a>.</div>
<div style="text-align:left"><br></div><div style="text-align:left"><b>Questions about submissions:</b> <a class="gmail-moz-txt-link-abbreviated" href="mailto:aiops2021@googlegroups.com">aiops2021@googlegroups.com</a><br></div>
<div style="text-align:left"><br></div><div style="text-align:left"><b>Organizer</b></div><div style="text-align:left">Roberto Natella, University of Naples Federico II, Italy</div>
<div style="text-align:left"><br></div><div style="text-align:left">Best regards,</div><div style="text-align:left">Jasmin Bogatinovski </div><p></p></div>