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2020 – today
- 2024
- [j13]Davide Borsatti, Walter Cerroni, Luca Foschini, Genady Ya. Grabarnik, Lorenzo Manca, Filippo Poltronieri, Domenico Scotece, Larisa Shwartz, Cesare Stefanelli, Mauro Tortonesi, Mattia Zaccarini:
KubeTwin: A Digital Twin Framework for Kubernetes Deployments at Scale. IEEE Trans. Netw. Serv. Manag. 21(4): 3889-3903 (2024) - [c78]Xi Yang, Paulito Palmes, Saurabh Jha, Bekir O. Turkkan, Gerard Vanloo, Frank Bagehorn, Chandra Narayanaswami, Larisa Shwartz, Naoki Abe, Yu Deng, Daby M. Sow:
SAM: Subseries Augmentation-Based Meta-Learning for Generalizing AIOps Models in Multi-Cloud Migration. CLOUD 2024: 291-301 - [c77]Yu Zhang, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz, ChengXiang Zhai, Jiawei Han:
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains. AAAI 2024: 19606-19614 - [c76]Saurabh Jha, Jesus Rios, Naoki Abe, Frank Bagehorn, Laura Shwartz:
Fault Localization Using Interventional Causal Learning for Cloud-Native Applications. DSN-S 2024: 141-147 - [c75]Mattia Zaccarini, Davide Borsatti, Walter Cerroni, Luca Foschini, Genady Ya. Grabarnik, Lorenzo Manca, Filippo Poltronieri, Domenico Scotece, Larisa Shwartz, Cesare Stefanelli, Mauro Tortonesi:
TELKA: Twin-Enhanced Learning for Kubernetes Applications. ISCC 2024: 1-6 - [c74]Sachin Ashok, Vipul Harsh, Brighten Godfrey, Radhika Mittal, Srinivasan Parthasarathy, Larisa Shwartz:
TraceWeaver: Distributed Request Tracing for Microservices Without Application Modification. SIGCOMM 2024: 828-842 - [c73]Komal Sarda, Zakeya Namrud, Marin Litoiu, Larisa Shwartz, Ian Watts:
Leveraging Large Language Models for the Auto-remediation of Microservice Applications: An Experimental Study. SIGSOFT FSE Companion 2024: 358-369 - [c72]Zakeya Namrud, Komal Sarda, Marin Litoiu, Larisa Shwartz, Ian Watts:
KubePlaybook: A Repository of Ansible Playbooks for Kubernetes Auto-Remediation with LLMs. ICPE (Companion) 2024: 57-61 - [i3]Yu Zhang, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz, ChengXiang Zhai, Jiawei Han:
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains. CoRR abs/2401.13129 (2024) - 2023
- [c71]Qing Wang, Jesus Rios, Saurabh Jha, Karthikeyan Shanmugam, Frank Bagehorn, Xi Yang, Robert Filepp, Naoki Abe, Larisa Shwartz:
Fault Injection Based Interventional Causal Learning for Distributed Applications. AAAI 2023: 15738-15744 - [c70]Hausi A. Müller, Marin Litoiu, Luis F. Rivera, Mohammadreza Rasolroveicy, Norha M. Villegas, Gabriel Tamura, Ian Watts, Eric Erpenbach, Laura Shwartz:
Proactive Continuous Operations using Large Language Models (LLMs) and AIOps. CASCON 2023: 198-199 - [c69]Komal Sarda, Zakeya Namrud, Raphael Rouf, Harit Ahuja, Mohammadreza Rasolroveicy, Marin Litoiu, Larisa Shwartz, Ian Watts:
ADARMA Auto-Detection and Auto-Remediation of Microservice Anomalies by Leveraging Large Language Models. CASCON 2023: 200-205 - [c68]Xi Yang, Saurabh Jha, Paulito Palmes, Bekir O. Turkkan, Gerard Vanloo, Chandra Narayanaswami, Larisa Shwartz:
Meta-learning Generalized AIOps Models for Multi-cloud Computer using Digital Twins. CASCON 2023: 206-210 - [c67]Luis F. Rivera, Norha M. Villegas, Gabriel Tamura, Hausi A. Müller, Ian Watts, Eric Erpenbach, Laura Shwartz, Xiaotong Liu:
Using Digital Twins for Software Change Risk Assessment Toward Proactive AIOps. CASCON 2023: 211-216 - [c66]Genady Ya. Grabarnik, Filippo Poltronieri, Mauro Tortonesi, Mattia Zaccarini, Larisa Shwartz:
Using Simulation and DT to Improve Performance of Systems Operation Modeling. CASCON 2023: 217-221 - [c65]Lorenzo Manca, Davide Borsatti, Filippo Poltronieri, Mattia Zaccarini, Domenico Scotece, Gianluca Davoli, Luca Foschini, Genady Ya. Grabarnik, Larisa Shwartz, Cesare Stefanelli, Mauro Tortonesi, Walter Cerroni:
Characterization of Microservice Response Time in Kubernetes: A Mixture Density Network Approach. CNSM 2023: 1-9 - [c64]Bhavya, Paulina Toro Isaza, Yu Deng, Michael Nidd, Amar Prakash Azad, Larisa Shwartz, ChengXiang Zhai:
Exploring Large Language Models for Low-Resource IT Information Extraction. ICDM (Workshops) 2023: 1203-1212 - [c63]Davide Borsatti, Walter Cerroni, Luca Foschini, Genady Ya. Grabarnik, Filippo Poltronieri, Domenico Scotece, Larisa Shwartz, Cesare Stefanelli, Mauro Tortonesi, Mattia Zaccarini:
Modeling Digital Twins of Kubernetes-Based Applications. ISCC 2023: 219-224 - 2022
- [j12]Walter Cerroni, Luca Foschini, Genady Ya. Grabarnik, Filippo Poltronieri, Larisa Shwartz, Cesare Stefanelli, Mauro Tortonesi:
BDMaaS+: Business-Driven and Simulation-Based Optimization of IT Services in the Hybrid Cloud. IEEE Trans. Netw. Serv. Manag. 19(1): 322-337 (2022) - [c62]Jesus Rios, Saurabh Jha, Laura Shwartz:
Localizing and Explaining Faults in Microservices Using Distributed Tracing. CLOUD 2022: 489-499 - [c61]Paulina Toro Isaza, Yu Deng, Michael Nidd, Amar Prakash Azad, Laura Shwartz:
Improving Model Performance Using Metric-Guided Data Selection Framework. IEEE Big Data 2022: 4750-4757 - [c60]Frank Bagehorn, Jesus Rios, Saurabh Jha, Robert Filepp, Larisa Shwartz, Naoki Abe, Xi Yang:
A fault injection platform for learning AIOps models. ASE 2022: 130:1-130:5 - 2021
- [c59]Raghav Batta, Larisa Shwartz, Michael Nidd, Amar Prakash Azad, Harshit Kumar:
A system for proactive risk assessment of application changes in cloud operations. CLOUD 2021: 112-123 - [c58]Pooja Aggarwal, Seema Nagar, Ajay Gupta, Larisa Shwartz, Prateeti Mohapatra, Qing Wang, Amit M. Paradkar, Atri Mandal:
Causal Modeling based Fault Localization in Cloud Systems using Golden Signals. CLOUD 2021: 124-135 - [c57]Qing Wang, Larisa Shwartz, Genady Ya. Grabarnik, Vijay Arya, Karthikeyan Shanmugam:
Detecting Causal Structure on Cloud Application Microservices Using Granger Causality Models. CLOUD 2021: 558-565 - [c56]Jinho Hwang, Larisa Shwartz, Qing Wang, Raghav Batta, Harshit Kumar, Michael Nidd:
FIXME: Enhance Software Reliability with Hybrid Approaches in Cloud. ICSE (SEIP) 2021: 228-237 - [i2]Jinho Hwang, Larisa Shwartz, Qing Wang, Raghav Batta, Harshit Kumar, Michael Nidd:
FIXME: Enhance Software Reliability with Hybrid Approaches in Cloud. CoRR abs/2102.09336 (2021)
2010 – 2019
- 2019
- [j11]Qing Wang, Chunqiu Zeng, Wubai Zhou, Tao Li, S. S. Iyengar, Larisa Shwartz, Genady Ya. Grabarnik:
Online Interactive Collaborative Filtering Using Multi-Armed Bandit with Dependent Arms. IEEE Trans. Knowl. Data Eng. 31(8): 1569-1580 (2019) - [j10]Chunqiu Zeng, Liang Tang, Wubai Zhou, Tao Li, Larisa Shwartz, Genady Ya. Grabarnik:
An Integrated Framework for Mining Temporal Logs from Fluctuating Events. IEEE Trans. Serv. Comput. 12(2): 199-213 (2019) - [c55]Maja Vukovic, Scott N. Gerard, Rick Hull, Michael Katz, Laura Shwartz, Shirin Sohrabi, Christian Muise, John J. Rofrano, Anup K. Kalia, Jinho Hwang, Yabin Dang, Jie Ma, Zhuoxuan Jiang:
Towards Automated Planning for Enterprise Services: Opportunities and Challenges. ICSOC 2019: 64-68 - [c54]Qing Wang, Larisa Shwartz, Genady Ya. Grabarnik, Michael Nidd, Jinho Hwang:
Leveraging AI in Service Automation Modeling: From Classical AI Through Deep Learning to Combination Models. ICSOC 2019: 186-201 - [c53]Walter Cerroni, Luca Foschini, Genady Ya. Grabarnik, Larisa Shwartz, Mauro Tortonesi:
What-if Scenario Analysis for IT Services in Hybrid Cloud Environments with BDMaaS+. IM 2019: 62-70 - 2018
- [b1]Kristof Kloeckner, John Davis, Nicholas C. Fuller, Giovanni Lanfranchi, Stefan Pappe, Amit M. Paradkar, Larisa Shwartz, Maheswaran Surendra, Dorothea Wiesmann:
Transforming the IT Services Lifecycle with AI Technologies. Springer Briefs in Computer Science, Springer 2018, ISBN 978-3-319-94047-2, pp. 1-100 - [j9]Kristof Kloeckner, Constantin Adam, Nikos Anerousis, Naga Ayachitula, Muhammed Fatih Bulut, Gargi Dasgupta, Yu Deng, Yixin Diao, Nicholas C. Fuller, Sandeep Gopisetty, Milton Hernandez, Jinho Hwang, Pietro Iannucci, Anup K. Kalia, Giovanni Lanfranchi, David Lanyi, Heiko Ludwig, A. Mahamuni, Ruchi Mahindru, Fan Jing Meng, Hamid R. Motahari Nezhad, Karin Murthy, Taiga Nakamura, Amit M. Paradkar, Dennis A. Perpetua, Birgit Pfitzmann, Daniela Rosu, Larisa Shwartz, Zhong Su, Maheswaran Surendra, Shu Tao, Hagen Völzer, Maja Vukovic, Dorothea Wiesmann, S. Wozniak, Gary Wright, Jin Xiao, Sai Zeng:
Building a cognitive platform for the managed IT services lifecycle. IBM J. Res. Dev. 62(1): 8:1-8:11 (2018) - [j8]Walter Cerroni, Luca Foschini, Genady Ya. Grabarnik, Larisa Shwartz, Mauro Tortonesi:
Estimating Delay Times Between Cloud Datacenters: A Pragmatic Modeling Approach. IEEE Commun. Lett. 22(3): 526-529 (2018) - [c52]Qing Wang, Chunqiu Zeng, S. S. Iyengar, Tao Li, Larisa Shwartz, Genady Ya. Grabarnik:
AISTAR: An Intelligent System for Online IT Ticket Automation Recommendation. IEEE BigData 2018: 1875-1884 - [c51]Walter Cerroni, Luca Foschini, Genady Ya. Grabarnik, Larisa Shwartz, Mauro Tortonesi:
Service Placement for Hybrid Clouds Environments based on Realistic Network Measurements. CNSM 2018: 184-190 - [c50]Larisa Shwartz, Jinho Hwang, Hagen Völzer, Michael Nidd, Murilo Goncalves Aguiar, Marcos Vinicius Landivar Paraiso, Letusa Valero:
CEA: A Service for Cognitive Event Automation. ICSOC Workshops 2018: 425-429 - [c49]Wubai Zhou, Xiaolong Zhu, Tao Li, Larisa Shwartz, Genady Ya. Grabarnik:
Multi-view feature selection for labeling noisy ticket data. NOMS 2018: 1-4 - [c48]Qing Wang, Tao Li, S. S. Iyengar, Larisa Shwartz, Genady Ya. Grabarnik:
Online IT Ticket Automation Recommendation Using Hierarchical Multi-armed Bandit Algorithms. SDM 2018: 657-665 - [c47]Fan Jing Meng, Jingmin Xu, Xiao Zhang, Lin Yang, Pengfei Chen, Yuan Wang, Xiaoxi Liu, Naga Ayachitula, Karin Murthy, Larisa Shwartz, George Galambos, Zhuo Su, Jun Zheng:
Opportunities and Challenges Towards Cognitive IT Service Management in Real World. SOSE 2018: 164-173 - 2017
- [j7]Yixin Diao, Larisa Shwartz:
Building Automated Data Driven Systems for IT Service Management. J. Netw. Syst. Manag. 25(4): 848-883 (2017) - [j6]Chunqiu Zeng, Wubai Zhou, Tao Li, Larisa Shwartz, Genady Ya. Grabarnik:
Knowledge Guided Hierarchical Multi-Label Classification Over Ticket Data. IEEE Trans. Netw. Serv. Manag. 14(2): 246-260 (2017) - [c46]Qing Wang, Wubai Zhou, Chunqiu Zeng, Tao Li, Larisa Shwartz, Genady Ya. Grabarnik:
Constructing the Knowledge Base for Cognitive IT Service Management. SCC 2017: 410-417 - [c45]Hamid Reza Motahari-Nezhad, Larisa Shwartz:
Towards Open Smart Services Platform. HICSS 2017: 1-7 - [c44]Wubai Zhou, Wei Xue, Ramesh Baral, Qing Wang, Chunqiu Zeng, Tao Li, Jian Xu, Zheng Liu, Larisa Shwartz, Genady Ya. Grabarnik:
STAR: A System for Ticket Analysis and Resolution. KDD 2017: 2181-2190 - [i1]Qing Wang, Chunqiu Zeng, Wubai Zhou, Tao Li, Larisa Shwartz, Genady Ya. Grabarnik:
Online Interactive Collaborative Filtering Using Multi-Armed Bandit with Dependent Arms. CoRR abs/1708.03058 (2017) - 2016
- [j5]Wubai Zhou, Liang Tang, Chunqiu Zeng, Tao Li, Larisa Shwartz, Genady Ya. Grabarnik:
Resolution Recommendation for Event Tickets in Service Management. IEEE Trans. Netw. Serv. Manag. 13(4): 954-967 (2016) - [c43]Chunqiu Zeng, Qing Wang, Wentao Wang, Tao Li, Larisa Shwartz:
Online inference for time-varying temporal dependency discovery from time series. IEEE BigData 2016: 1281-1290 - [c42]Genady Ya. Grabarnik, Mauro Tortonesi, Larisa Shwartz:
Data-driven cloud-based IT services performance forecasting. IEEE BigData 2016: 2081-2086 - [c41]Sinem Güven, Karin Murthy, Larisa Shwartz, Amit M. Paradkar:
Towards establishing causality between change and incident. NOMS 2016: 937-942 - 2015
- [c40]Wubai Zhou, Tao Li, Larisa Shwartz, Genady Ya. Grabarnik:
Recommending ticket resolution using feature adaptation. CNSM 2015: 15-21 - [c39]Yixin Diao, Larisa Shwartz:
Modeling service variability in complex service delivery operations. CNSM 2015: 265-269 - [c38]Wubai Zhou, Liang Tang, Tao Li, Larisa Shwartz, Genady Grabarnik:
Resolution recommendation for event tickets in service management. IM 2015: 287-295 - [c37]Genady Ya. Grabarnik, Mauro Tortonesi, Larisa Shwartz:
Business-driven configuration of IT services in public and hybrid clouds based on performance forecasting. IM 2015: 826-829 - [c36]Joel W. Branch, Karin Murthy, Larisa Shwartz, Emi Olsson, Robert A. Larsen:
BizMap: A framework for mapping business applications to IT infrastructure. IM 2015: 1377-1383 - 2014
- [j4]Yixin Diao, Linh Lam, Larisa Shwartz, David M. Northcutt:
Modeling the Impact of Service Level Agreements During Service Engagement. IEEE Trans. Netw. Serv. Manag. 11(4): 431-440 (2014) - [c35]Chunqiu Zeng, Liang Tang, Tao Li, Larisa Shwartz, Genady Grabarnik:
Mining temporal lag from fluctuating events for correlation and root cause analysis. CNSM 2014: 19-27 - [c34]Joel W. Branch, Yixin Diao, Larisa Shwartz:
A framework for predicting service delivery efforts using IT infrastructure-to-incident correlation. NOMS 2014: 1-8 - [c33]Yixin Diao, Linh Lam, Larisa Shwartz, David M. Northcutt:
Predicting service delivery cost for non-standard service level agreements. NOMS 2014: 1-9 - [c32]Genady Grabarnik, Yefim Haim Michlin, Larisa Shwartz:
Testing performance of IT service associates under variable load. NOMS 2014: 1-6 - [c31]Genady Grabarnik, Larisa Shwartz, Mauro Tortonesi:
Business-driven optimization of component placement for complex services in federated Clouds. NOMS 2014: 1-9 - [c30]Chunqiu Zeng, Tao Li, Larisa Shwartz, Genady Grabarnik:
Hierarchical multi-label classification over ticket data using contextual loss. NOMS 2014: 1-8 - 2013
- [c29]Liang Tang, Tao Li, Larisa Shwartz, Genady Grabarnik:
Identifying missed monitoring alerts based on unstructured incident tickets. CNSM 2013: 143-146 - [c28]Yixin Diao, Linh Lam, Larisa Shwartz, David M. Northcutt:
SLA impact modeling for service engagement. CNSM 2013: 185-188 - [c27]Liang Tang, Tao Li, Larisa Shwartz, Genady Grabarnik:
Recommending resolutions for problems identified by monitoring. IM 2013: 134-142 - [c26]Carlos Raniery Paula dos Santos, Lisandro Zambenedetti Granville, Larisa Shwartz, Nikos Anerousis, David Loewenstern:
Quality improvement and quantitative modeling - Using mashups for human error prevention. IM 2013: 143-150 - [c25]Yefim Haim Michlin, Genady Grabarnik, Larisa Shwartz, Ofer Shaham:
Robustness of comparison sequential test for the piloting in Service Delivery. IM 2013: 1252-1259 - [c24]Liang Tang, Tao Li, Larisa Shwartz, Florian Pinel, Genady Grabarnik:
An integrated framework for optimizing automatic monitoring systems in large IT infrastructures. KDD 2013: 1249-1257 - 2012
- [c23]David Loewenstern, Florian Pinel, Larisa Shwartz, Maira Gatti, Ricardo Herrmann:
A Learning Method for Improving Quality of Service Infrastructure Management in New Technical Support Groups. ICSOC 2012: 599-606 - [c22]Maira Gatti, Ricardo Herrmann, David Loewenstern, Florian Pinel, Larisa Shwartz:
Domain-Independent Data Validation and Content Assistance as a Service. ICWS 2012: 407-414 - [c21]Liang Tang, Tao Li, Larisa Shwartz:
Discovering lag intervals for temporal dependencies. KDD 2012: 633-641 - [c20]Liang Tang, Tao Li, Florian Pinel, Larisa Shwartz, Genady Grabarnik:
Optimizing system monitoring configurations for non-actionable alerts. NOMS 2012: 34-42 - [c19]David Loewenstern, Florian Pinel, Larisa Shwartz, Maira Gatti, Ricardo Herrmann, Victor Cavalcante:
A learning feature engineering method for task assignment. NOMS 2012: 961-967 - [c18]Genady Grabarnik, Yefim Haim Michlin, Larisa Shwartz:
Designing pilot for operational innovation in IT service delivery. NOMS 2012: 1343-1351 - [c17]Parijat Dube, Genady Grabarnik, Larisa Shwartz:
SUITS: How to make a global IT service provider sustainable? NOMS 2012: 1352-1359 - 2011
- [c16]Carlos Raniery Paula dos Santos, Lisandro Zambenedetti Granville, Winnie Cheng, David Loewenstern, Larisa Shwartz, Nikos Anerousis:
Performance management and quantitative modeling of IT service processes using mashup patterns. CNSM 2011: 1-9 - 2010
- [c15]Christopher Ward, N. Aravamudan, Kamal Bhattacharya, Karen Cheng, Robert Filepp, Robert D. Kearney, Brian Peterson, Larisa Shwartz, Christopher C. Young:
Workload Migration into Clouds Challenges, Experiences, Opportunities. IEEE CLOUD 2010: 164-171 - [c14]Markus Klems, Stefan Tai, Larisa Shwartz, Genady Grabarnik:
Automating the delivery of IT Service Continuity Management through cloud service orchestration. NOMS 2010: 65-72 - [c13]Robert Filepp, Larisa Shwartz, Christopher Ward, Robert D. Kearney, Karen Cheng, Christopher C. Young, Yanal Ghosheh:
Image selection as a service for cloud computing environments. SOCA 2010: 1-8 - [c12]Larisa Shwartz, Daniela Rosu, David Loewenstern, Melissa J. Buco, Shang Guo, Rafael Lavrado, Manish Gupta, Pradipta De, Venkateswara Reddy Madduri, Jai K. Singh:
Quality of IT service delivery - Analysis and framework for human error prevention. SOCA 2010: 1-8
2000 – 2009
- 2009
- [j3]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, J. K. Skoog, Larisa Shwartz, M. Thompson, R. Thompson, Yaron Wolfsthal:
Toward transforming business continuity services. IBM J. Res. Dev. 53(6): 7 (2009) - [c11]Patricia Marcu, Larisa Shwartz, Genady Grabarnik, David Loewenstern:
Managing Faults in the Service Delivery Process of Service Provider Coalitions. IEEE SCC 2009: 65-72 - [c10]Patricia Marcu, Genady Grabarnik, Laura Z. Luan, Daniela Rosu, Larisa Shwartz, Christopher Ward:
Towards an optimized model of incident ticket correlation. Integrated Network Management 2009: 569-576 - [c9]Larisa Shwartz, Yixin Diao, Genady Grabarnik:
Multi-tenant solution for IT service management: A quantitative study of benefits. Integrated Network Management 2009: 721-731 - 2008
- [c8]Genady Grabarnik, Heiko Ludwig, Larisa Shwartz:
Dynamic management of outsourced service processes' QoS in a service provider - service supplier environment. BDIM 2008: 81-88 - [c7]David Loewenstern, Larisa Shwartz:
IT Service Management of Using Heterogeneous, Dynamically Alterable Configuration Item Lifecycles. ICEIS (3-1) 2008: 155-160 - [c6]Christian Bartsch, Larisa Shwartz, Christopher Ward, Genady Grabarnik, Melissa J. Buco:
Decomposition of IT service processes and alternative service identification using ontologies. NOMS 2008: 714-717 - 2007
- [j2]Hari Madduri, Shepherd S. B. Shi, Ron Baker, Naga Ayachitula, Laura Shwartz, Maheswaran Surendra, Carole Corley, Messaoud Benantar, Sushma Patel:
A configuration management database architecture in support of IBM Service Management. IBM Syst. J. 46(3): 441-458 (2007) - [c5]Naga Ayachitula, Melissa J. Buco, Yixin Diao, Maheswaran Surendra, Raju Pavuluri, Larisa Shwartz, Christopher Ward:
IT service management automation - A hybrid methodology to integrate and orchestrate collaborative human centric and automation centric workflows. IEEE SCC 2007: 574-581 - [c4]Larisa Shwartz, Naga Ayachitula, Melissa J. Buco, Maheswaran Surendra, Christopher Ward, Steve Weinberger:
Service Provider Considerations for IT Service Management. Integrated Network Management 2007: 757-760 - [c3]Genady Grabarnik, Heiko Ludwig, Larisa Shwartz:
Management of Service Process QoS in a Service Provider - Service Supplier Environment. CEC/EEE 2007: 543-550 - [c2]Larisa Shwartz, Naga Ayachitula, Melissa J. Buco, Genady Grabarnik, Maheswaran Surendra, Christopher Ward, Steve Weinberger:
IT Service Provider's Multi-Customer and Multi-Tenant Environments. CEC/EEE 2007: 559-566 - 2005
- [j1]Genady Grabarnik, Alexander A. Katz, Laura Shwartz:
On weak convergence of iterates in quantum Lp-spaces (p≥1). Int. J. Math. Math. Sci. 2005(14): 2307-2319 (2005) - [c1]Naga Ayachitula, Shu-Ping Chang, Larisa Shwartz, Maheswaran Surendra:
Collaborative End-Point Service Modulation System (COSMOS). WISE 2005: 660-668
Coauthor Index
aka: Genady Ya. Grabarnik
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