Collaborative End-Point Service Modulation System (COSMOS). - Naga Ayachitula; Shu-Ping Chang; Larisa Shwartz; Maheswaran Surendra (WISE, 2005)

On weak convergence of iterates in quantum Lp-spaces (p≥1). - Genady Grabarnik; Alexander A. Katz; Laura Shwartz (Int. J. Math. Math. Sci., 2005)

IT service management automation - A hybrid methodology to integrate and orchestrate collaborative human centric and automation centric workflows. - Naga Ayachitula; Melissa J. Buco; Yixin Diao; Maheswaran Surendra; Raju Pavuluri; Larisa Shwartz; Christopher Ward (IEEE SCC, 2007)

Service Provider Considerations for IT Service Management. - Larisa Shwartz; Naga Ayachitula; Melissa J. Buco; Maheswaran Surendra; Christopher Ward; Steve Weinberger (Integrated Network Management, 2007)

Management of Service Process QoS in a Service Provider - Service Supplier Environment. - Genady Grabarnik; Heiko Ludwig; Larisa Shwartz (CEC/EEE, 2007)

IT Service Provider's Multi-Customer and Multi-Tenant Environments. - Larisa Shwartz; Naga Ayachitula; Melissa J. Buco; Genady Grabarnik; Maheswaran Surendra; Christopher Ward; Steve Weinberger (CEC/EEE, 2007)

A configuration management database architecture in support of IBM Service Management. - Hari Madduri; Shepherd S. B. Shi; Ron Baker; Naga Ayachitula; Laura Shwartz; Maheswaran Surendra; Carole Corley; Messaoud Benantar; Sushma Patel (IBM Syst. J., 2007)

Dynamic management of outsourced service processes' QoS in a service provider - service supplier environment. - Genady Grabarnik; Heiko Ludwig; Larisa Shwartz (BDIM, 2008)

IT Service Management of Using Heterogeneous, Dynamically Alterable Configuration Item Lifecycles. - David Loewenstern; Larisa Shwartz (ICEIS (3-1), 2008)

Decomposition of IT service processes and alternative service identification using ontologies. - Christian Bartsch 002; Larisa Shwartz; Christopher Ward; Genady Grabarnik; Melissa J. Buco (NOMS, 2008)

Managing Faults in the Service Delivery Process of Service Provider Coalitions. - Patricia Marcu; Larisa Shwartz; Genady Grabarnik; David Loewenstern (IEEE SCC, 2009)

Towards an optimized model of incident ticket correlation. - Patricia Marcu; Genady Grabarnik; Laura Z. Luan; Daniela Rosu 001; Larisa Shwartz; Christopher Ward (Integrated Network Management, 2009)

Multi-tenant solution for IT service management: A quantitative study of benefits. - Larisa Shwartz; Yixin Diao; Genady Grabarnik (Integrated Network Management, 2009)

Toward transforming business continuity services. - Christopher Ward; Shimon Agassi; Kamal Bhattacharya; O. Biran; R. Cocchiara; M. E. Factor; C. T. Hayashi; T. Hochberg; B. Kearney; Jim Laredo; David Loewenstern; A. E. Rodecap; et al. (IBM J. Res. Dev., 2009)

Workload Migration into Clouds Challenges, Experiences, Opportunities. - Christopher Ward; N. Aravamudan; Kamal Bhattacharya; Karen Cheng; Robert Filepp; Robert D. Kearney; Brian Peterson; Larisa Shwartz; Christopher C. Young (IEEE CLOUD, 2010)

Automating the delivery of IT Service Continuity Management through cloud service orchestration. - Markus Klems; Stefan Tai; Larisa Shwartz; Genady Grabarnik (NOMS, 2010)

Image selection as a service for cloud computing environments. - Robert Filepp; Larisa Shwartz; Christopher Ward; Robert D. Kearney; Karen Cheng; Christopher C. Young; Yanal Ghosheh (SOCA, 2010)

Quality of IT service delivery - Analysis and framework for human error prevention. - Larisa Shwartz; Daniela Rosu 001; David Loewenstern; Melissa J. Buco; Shang Guo; Rafael Lavrado; Manish Gupta 007; Pradipta De; Venkateswara Reddy Madduri; Jai K. Singh (SOCA, 2010)

Performance management and quantitative modeling of IT service processes using mashup patterns. - Carlos Raniery Paula dos Santos; Lisandro Zambenedetti Granville; Winnie Cheng; David Loewenstern; Larisa Shwartz; Nikos Anerousis (CNSM, 2011)

A Learning Method for Improving Quality of Service Infrastructure Management in New Technical Support Groups. - David Loewenstern; Florian Pinel; Larisa Shwartz; Maira Gatti; Ricardo Herrmann (ICSOC, 2012)

Domain-Independent Data Validation and Content Assistance as a Service. - Maira Gatti; Ricardo Herrmann; David Loewenstern; Florian Pinel; Larisa Shwartz (ICWS, 2012)

Discovering lag intervals for temporal dependencies. - Liang Tang; Tao Li 001; Larisa Shwartz (KDD, 2012)

SUITS: How to make a global IT service provider sustainable? - Parijat Dube; Genady Grabarnik; Larisa Shwartz (NOMS, 2012)

Designing pilot for operational innovation in IT service delivery. - Genady Grabarnik; Yefim Haim Michlin; Larisa Shwartz (NOMS, 2012)

A learning feature engineering method for task assignment. - David Loewenstern; Florian Pinel; Larisa Shwartz; Maira Gatti; Ricardo Herrmann; Victor Cavalcante (NOMS, 2012)

Optimizing system monitoring configurations for non-actionable alerts. - Liang Tang; Tao Li 001; Florian Pinel; Larisa Shwartz; Genady Grabarnik (NOMS, 2012)

SLA impact modeling for service engagement. - Yixin Diao; Linh Lam; Larisa Shwartz; David M. Northcutt (CNSM, 2013)

Identifying missed monitoring alerts based on unstructured incident tickets. - Liang Tang; Tao Li 001; Larisa Shwartz; Genady Grabarnik (CNSM, 2013)

Robustness of comparison sequential test for the piloting in Service Delivery. - Yefim Haim Michlin; Genady Grabarnik; Larisa Shwartz; Ofer Shaham (IM, 2013)

Quality improvement and quantitative modeling - Using mashups for human error prevention. - Carlos Raniery Paula dos Santos; Lisandro Zambenedetti Granville; Larisa Shwartz; Nikos Anerousis; David Loewenstern (IM, 2013)

Recommending resolutions for problems identified by monitoring. - Liang Tang; Tao Li 001; Larisa Shwartz; Genady Grabarnik (IM, 2013)

An integrated framework for optimizing automatic monitoring systems in large IT infrastructures. - Liang Tang; Tao Li 001; Larisa Shwartz; Florian Pinel; Genady Grabarnik (KDD, 2013)

Mining temporal lag from fluctuating events for correlation and root cause analysis. - Chunqiu Zeng; Liang Tang; Tao Li 001; Larisa Shwartz; Genady Grabarnik (CNSM, 2014)

A framework for predicting service delivery efforts using IT infrastructure-to-incident correlation. - Joel W. Branch; Yixin Diao; Larisa Shwartz (NOMS, 2014)

Predicting service delivery cost for non-standard service level agreements. - Yixin Diao; Linh Lam; Larisa Shwartz; David M. Northcutt (NOMS, 2014)

Testing performance of IT service associates under variable load. - Genady Grabarnik; Yefim Haim Michlin; Larisa Shwartz (NOMS, 2014)

Business-driven optimization of component placement for complex services in federated Clouds. - Genady Grabarnik; Larisa Shwartz; Mauro Tortonesi (NOMS, 2014)

Hierarchical multi-label classification over ticket data using contextual loss. - Chunqiu Zeng; Tao Li 001; Larisa Shwartz; Genady Grabarnik (NOMS, 2014)

Modeling the Impact of Service Level Agreements During Service Engagement. - Yixin Diao; Linh Lam; Larisa Shwartz; David M. Northcutt (IEEE Trans. Netw. Serv. Manag., 2014)

Modeling service variability in complex service delivery operations. - Yixin Diao; Larisa Shwartz (CNSM, 2015)

Recommending ticket resolution using feature adaptation. - Wubai Zhou; Tao Li 001; Larisa Shwartz; Genady Ya. Grabarnik (CNSM, 2015)

BizMap: A framework for mapping business applications to IT infrastructure. - Joel W. Branch; Karin Murthy; Larisa Shwartz; Emi Olsson; Robert A. Larsen (IM, 2015)

Business-driven configuration of IT services in public and hybrid clouds based on performance forecasting. - Genady Ya. Grabarnik; Mauro Tortonesi; Larisa Shwartz (IM, 2015)

Resolution recommendation for event tickets in service management. - Wubai Zhou; Liang Tang; Tao Li 001; Larisa Shwartz; Genady Grabarnik (IM, 2015)

Data-driven cloud-based IT services performance forecasting. - Genady Ya. Grabarnik; Mauro Tortonesi; Larisa Shwartz (IEEE BigData, 2016)

Online inference for time-varying temporal dependency discovery from time series. - Chunqiu Zeng; Qing Wang 016; Wentao Wang 006; Tao Li 001; Larisa Shwartz (IEEE BigData, 2016)

Towards establishing causality between change and incident. - Sinem Güven; Karin Murthy; Larisa Shwartz; Amit M. Paradkar (NOMS, 2016)

Resolution Recommendation for Event Tickets in Service Management. - Wubai Zhou; Liang Tang; Chunqiu Zeng; Tao Li 001; Larisa Shwartz; Genady Ya. Grabarnik (IEEE Trans. Netw. Serv. Manag., 2016)

Constructing the Knowledge Base for Cognitive IT Service Management. - Qing Wang 016; Wubai Zhou; Chunqiu Zeng; Tao Li 001; Larisa Shwartz; Genady Ya. Grabarnik (SCC, 2017)

Towards Open Smart Services Platform. - Hamid Reza Motahari-Nezhad; Larisa Shwartz (HICSS, 2017)

STAR: A System for Ticket Analysis and Resolution. - Wubai Zhou; Wei Xue; Ramesh Baral; Qing Wang 016; Chunqiu Zeng; Tao Li 001; Jian Xu 009; Zheng Liu 001; Larisa Shwartz; Genady Ya. Grabarnik (KDD, 2017)

Online Interactive Collaborative Filtering Using Multi-Armed Bandit with Dependent Arms. - Qing Wang 016; Chunqiu Zeng; Wubai Zhou; Tao Li 001; Larisa Shwartz; Genady Ya. Grabarnik (CoRR, 2017)

Building Automated Data Driven Systems for IT Service Management. - Yixin Diao; Larisa Shwartz (J. Netw. Syst. Manag., 2017)

Knowledge Guided Hierarchical Multi-Label Classification Over Ticket Data. - Chunqiu Zeng; Wubai Zhou; Tao Li 001; Larisa Shwartz; Genady Ya. Grabarnik (IEEE Trans. Netw. Serv. Manag., 2017)

AISTAR: An Intelligent System for Online IT Ticket Automation Recommendation. - Qing Wang 016; Chunqiu Zeng; S. S. Iyengar 001; Tao Li 001; Larisa Shwartz; Genady Ya. Grabarnik (IEEE BigData, 2018)

Service Placement for Hybrid Clouds Environments based on Realistic Network Measurements. - Walter Cerroni; Luca Foschini 001; Genady Ya. Grabarnik; Larisa Shwartz; Mauro Tortonesi (CNSM, 2018)

CEA: A Service for Cognitive Event Automation. - Larisa Shwartz; Jinho Hwang; Hagen Völzer; Michael Nidd; Murilo Goncalves Aguiar; Marcos Vinicius Landivar Paraiso; Letusa Valero (ICSOC Workshops, 2018)

Multi-view feature selection for labeling noisy ticket data. - Wubai Zhou; Xiaolong Zhu; Tao Li 001; Larisa Shwartz; Genady Ya. Grabarnik (NOMS, 2018)

Online IT Ticket Automation Recommendation Using Hierarchical Multi-armed Bandit Algorithms. - Qing Wang 016; Tao Li 001; S. S. Iyengar 001; Larisa Shwartz; Genady Ya. Grabarnik (SDM, 2018)

Opportunities and Challenges Towards Cognitive IT Service Management in Real World. - Fan Jing Meng; Jingmin Xu; Xiao Zhang; Lin Yang; Pengfei Chen 002; Yuan Wang; Xiaoxi Liu; Naga Ayachitula; Karin Murthy; Larisa Shwartz; George Galambos; Zhuo Su 003; et al. (SOSE, 2018)

Building a cognitive platform for the managed IT services lifecycle. - Kristof Kloeckner; Constantin Adam; Nikos Anerousis; Naga Ayachitula; Muhammed Fatih Bulut; Gargi Dasgupta; Yu Deng 004; Yixin Diao; Nicholas C. Fuller; Sandeep Gopisetty; Milton Hernandez; Jinho Hwang; et al. (IBM J. Res. Dev., 2018)

Estimating Delay Times Between Cloud Datacenters: A Pragmatic Modeling Approach. - Walter Cerroni; Luca Foschini 001; Genady Ya. Grabarnik; Larisa Shwartz; Mauro Tortonesi (IEEE Commun. Lett., 2018)

Transforming the IT Services Lifecycle with AI Technologies - Kristof Kloeckner; John Davis; Nicholas C. Fuller; Giovanni Lanfranchi; Stefan Pappe; Amit M. Paradkar; Larisa Shwartz; Maheswaran Surendra; Dorothea Wiesmann (Springer, 2018)

Towards Automated Planning for Enterprise Services: Opportunities and Challenges. - Maja Vukovic; Scott N. Gerard; Rick Hull; Michael Katz 001; Laura Shwartz; Shirin Sohrabi; Christian Muise; John J. Rofrano; Anup K. Kalia; Jinho Hwang; Yabin Dang; Jie Ma; et al. (ICSOC, 2019)

Leveraging AI in Service Automation Modeling: From Classical AI Through Deep Learning to Combination Models. - Qing Wang 016; Larisa Shwartz; Genady Ya. Grabarnik; Michael Nidd; Jinho Hwang (ICSOC, 2019)

What-if Scenario Analysis for IT Services in Hybrid Cloud Environments with BDMaaS+. - Walter Cerroni; Luca Foschini 001; Genady Ya. Grabarnik; Larisa Shwartz; Mauro Tortonesi (IM, 2019)

Online Interactive Collaborative Filtering Using Multi-Armed Bandit with Dependent Arms. - Qing Wang 016; Chunqiu Zeng; Wubai Zhou; Tao Li 001; S. S. Iyengar 001; Larisa Shwartz; Genady Ya. Grabarnik (IEEE Trans. Knowl. Data Eng., 2019)

An Integrated Framework for Mining Temporal Logs from Fluctuating Events. - Chunqiu Zeng; Liang Tang; Wubai Zhou; Tao Li 001; Larisa Shwartz; Genady Ya. Grabarnik (IEEE Trans. Serv. Comput., 2019)

Causal Modeling based Fault Localization in Cloud Systems using Golden Signals. - Pooja Aggarwal; Seema Nagar; Ajay Gupta; Larisa Shwartz; Prateeti Mohapatra; Qing Wang 016; Amit M. Paradkar; Atri Mandal (CLOUD, 2021)

A system for proactive risk assessment of application changes in cloud operations. - Raghav Batta; Larisa Shwartz; Michael Nidd; Amar Prakash Azad; Harshit Kumar (CLOUD, 2021)

Detecting Causal Structure on Cloud Application Microservices Using Granger Causality Models. - Qing Wang 016; Larisa Shwartz; Genady Ya. Grabarnik; Vijay Arya; Karthikeyan Shanmugam (CLOUD, 2021)

FIXME: Enhance Software Reliability with Hybrid Approaches in Cloud. - Jinho Hwang; Larisa Shwartz; Qing Wang 016; Raghav Batta; Harshit Kumar; Michael Nidd (ICSE (SEIP), 2021)

Localizing and Explaining Faults in Microservices Using Distributed Tracing. - Jesus Rios; Saurabh Jha; Laura Shwartz (CLOUD, 2022)

Improving Model Performance Using Metric-Guided Data Selection Framework. - Paulina Toro Isaza; Yu Deng 004; Michael Nidd; Amar Prakash Azad; Laura Shwartz (IEEE Big Data, 2022)

A fault injection platform for learning AIOps models. - Frank Bagehorn; Jesus Rios; Saurabh Jha; Robert Filepp; Larisa Shwartz; Naoki Abe; Xi Yang (ASE, 2022)

BDMaaS+: Business-Driven and Simulation-Based Optimization of IT Services in the Hybrid Cloud. - Walter Cerroni; Luca Foschini 001; Genady Ya. Grabarnik; Filippo Poltronieri; Larisa Shwartz; Cesare Stefanelli; Mauro Tortonesi (IEEE Trans. Netw. Serv. Manag., 2022)

Fault Injection Based Interventional Causal Learning for Distributed Applications. - Qing Wang 016; Jesus Rios; Saurabh Jha; Karthikeyan Shanmugam; Frank Bagehorn; Xi Yang; Robert Filepp; Naoki Abe; Larisa Shwartz (AAAI, 2023)

Using Simulation and DT to Improve Performance of Systems Operation Modeling. - Genady Ya. Grabarnik; Filippo Poltronieri; Mauro Tortonesi; Mattia Zaccarini; Larisa Shwartz (CASCON, 2023)

Proactive Continuous Operations using Large Language Models (LLMs) and AIOps. - Hausi A. Müller; Marin Litoiu; Luis F. Rivera; Mohammadreza Rasolroveicy; Norha M. Villegas; Gabriel Tamura; Ian Watts; Eric Erpenbach; Laura Shwartz (CASCON, 2023)

Using Digital Twins for Software Change Risk Assessment Toward Proactive AIOps. - Luis F. Rivera; Norha M. Villegas; Gabriel Tamura; Hausi A. Müller; Ian Watts; Eric Erpenbach; Laura Shwartz; Xiaotong Liu (CASCON, 2023)

ADARMA Auto-Detection and Auto-Remediation of Microservice Anomalies by Leveraging Large Language Models. - Komal Sarda; Zakeya Namrud; Raphael Rouf; Harit Ahuja; Mohammadreza Rasolroveicy; Marin Litoiu; Larisa Shwartz; Ian Watts (CASCON, 2023)

Meta-learning Generalized AIOps Models for Multi-cloud Computer using Digital Twins. - Xi Yang; Saurabh Jha; Paulito Palmes; Bekir O. Turkkan; Gerard Vanloo; Chandra Narayanaswami; Larisa Shwartz (CASCON, 2023)

Characterization of Microservice Response Time in Kubernetes: A Mixture Density Network Approach. - Lorenzo Manca; Davide Borsatti; Filippo Poltronieri; Mattia Zaccarini; Domenico Scotece; Gianluca Davoli; Luca Foschini 001; Genady Ya. Grabarnik; Larisa Shwartz; Cesare Stefanelli; Mauro Tortonesi; Walter Cerroni (CNSM, 2023)

Exploring Large Language Models for Low-Resource IT Information Extraction. - Bhavya; Paulina Toro Isaza; Yu Deng 004; Michael Nidd; Amar Prakash Azad; Larisa Shwartz; ChengXiang Zhai (ICDM (Workshops), 2023)

Modeling Digital Twins of Kubernetes-Based Applications. - Davide Borsatti; Walter Cerroni; Luca Foschini 001; Genady Ya. Grabarnik; Filippo Poltronieri; Domenico Scotece; Larisa Shwartz; Cesare Stefanelli; Mauro Tortonesi; Mattia Zaccarini (ISCC, 2023)

SAM: Subseries Augmentation-Based Meta-Learning for Generalizing AIOps Models in Multi-Cloud Migration. - Xi Yang; Paulito Palmes; Saurabh Jha; Bekir O. Turkkan; Gerard Vanloo; Frank Bagehorn; Chandra Narayanaswami; Larisa Shwartz; Naoki Abe; Yu Deng 004; Daby M. Sow (CLOUD, 2024)

Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains. - Yu Zhang 044; Yunyi Zhang 001; Yanzhen Shen; Yu Deng 004; Lucian Popa 001; Larisa Shwartz; ChengXiang Zhai; Jiawei Han 001 (AAAI, 2024)

Fault Localization Using Interventional Causal Learning for Cloud-Native Applications. - Saurabh Jha; Jesus Rios; Naoki Abe; Frank Bagehorn; Laura Shwartz (DSN-S, 2024)

TELKA: Twin-Enhanced Learning for Kubernetes Applications. - Mattia Zaccarini; Davide Borsatti; Walter Cerroni; Luca Foschini 001; Genady Ya. Grabarnik; Lorenzo Manca; Filippo Poltronieri; Domenico Scotece; Larisa Shwartz; Cesare Stefanelli; Mauro Tortonesi (ISCC, 2024)

TraceWeaver: Distributed Request Tracing for Microservices Without Application Modification. - Sachin Ashok; Vipul Harsh; Brighten Godfrey; Radhika Mittal; Srinivasan Parthasarathy 002; Larisa Shwartz (SIGCOMM, 2024)

Leveraging Large Language Models for the Auto-remediation of Microservice Applications: An Experimental Study. - Komal Sarda; Zakeya Namrud; Marin Litoiu; Larisa Shwartz; Ian Watts (SIGSOFT FSE Companion, 2024)

KubePlaybook: A Repository of Ansible Playbooks for Kubernetes Auto-Remediation with LLMs. - Zakeya Namrud; Komal Sarda; Marin Litoiu; Larisa Shwartz; Ian Watts (ICPE (Companion), 2024)

KubeTwin: A Digital Twin Framework for Kubernetes Deployments at Scale. - Davide Borsatti; Walter Cerroni; Luca Foschini 001; Genady Ya. Grabarnik; Lorenzo Manca; Filippo Poltronieri; Domenico Scotece; Larisa Shwartz; Cesare Stefanelli; Mauro Tortonesi; Mattia Zaccarini (IEEE Trans. Netw. Serv. Manag., 2024)

Chaos Engineering Based Kubernetes Pod Rescheduling Through Deep Sets and Reinforcement Learning. - Mattia Zaccarini; Filippo Poltronieri; Davide Borsatti; Walter Cerroni; Luca Foschini 001; Genady Ya. Grabarnik; Domenico Scotece; Larisa Shwartz; Cesare Stefanelli; Mauro Tortonesi (NOMS, 2025)

ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks. - Saurabh Jha; Rohan R. Arora; Yuji Watanabe; Takumi Yanagawa; Yinfang Chen; Jackson Clark; Bhavya; Mudit Verma; Harshit Kumar; Hirokuni Kitahara; Noah Zheutlin; Saki Takano; et al. (CoRR, 2025)

Causal AI-based Root Cause Identification: Research to Practice at Scale. - Saurabh Jha; Ameet Rahane; Laura Shwartz; Marc Palaci-Olgun; Frank Bagehorn; Jesus Rios; Dan Stingaciu; Ragu Kattinakere; Debasish Banerjee (CoRR, 2025)