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ORCIDSherif Sakr
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- affiliation: University of Tartu, Tartu, Estonia
- affiliation: University of New South Wales, Sydney, Australia
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2020 – today
- 2025
[j55]Radwa El Shawi
, Mohamadjavad Bahmani, Sherif Sakr:
To tune or not to tune? An approach for recommending important hyperparameters for classification and clustering algorithms. Future Gener. Comput. Syst. 163: 107524 (2025)- 2024
- [j54]Hassan Eldeeb, Mohamed Maher, Radwa El Shawi, Sherif Sakr:
AutoMLBench: A comprehensive experimental evaluation of automated machine learning frameworks. Expert Syst. Appl. 243: 122877 (2024) - 2022
- [j53]Ahmed Awad, Riccardo Tommasini, Samuele Langhi, Mahmoud Kamel, Emanuele Della Valle, Sherif Sakr:
D2IA: User-defined interval analytics on distributed streams. Inf. Syst. 104: 101679 (2022) - [c87]Radwa El Shawi, Sherif Sakr:
cSmartML-Glassbox: Increasing Transparency and Controllability in Automated Clustering. ICDM (Workshops) 2022: 47-54 - [c86]Radwa El Shawi, Sherif Sakr:
TPE-AutoClust: A Tree-based Pipline Ensemble Framework for Automated Clustering. ICDM (Workshops) 2022: 1144-1153 - [i13]Hassan Eldeeb, Mohamed Maher, Oleh Matsuk, Abdelrahman Aldallal, Radwa El Shawi, Sherif Sakr:
AutoMLBench: A Comprehensive Experimental Evaluation of Automated Machine Learning Frameworks. CoRR abs/2204.08358 (2022) - 2021
- [j52]Sherif Sakr, Angela Bonifati, Hannes Voigt, Alexandru Iosup, Khaled Ammar, Renzo Angles, Walid G. Aref, Marcelo Arenas, Maciej Besta, Peter A. Boncz, Khuzaima Daudjee, Emanuele Della Valle, Stefania Dumbrava, Olaf Hartig, Bernhard Haslhofer, Tim Hegeman, Jan Hidders, Katja Hose, Adriana Iamnitchi, Vasiliki Kalavri, Hugo Kapp, Wim Martens, M. Tamer Özsu, Eric Peukert, Stefan Plantikow, Mohamed Ragab, Matei Ripeanu, Semih Salihoglu, Christian Schulz, Petra Selmer, Juan F. Sequeda, Joshua Shinavier, Gábor Szárnyas, Riccardo Tommasini, Antonino Tumeo, Alexandru Uta, Ana Lucia Varbanescu, Hsiang-Yun Wu, Nikolay Yakovets, Da Yan, Eiko Yoneki:
The future is big graphs: a community view on graph processing systems. Commun. ACM 64(9): 62-71 (2021) - [j51]Radwa El Shawi, Youssef Sherif, Mouaz H. Al-Mallah, Sherif Sakr:
Interpretability in healthcare: A comparative study of local machine learning interpretability techniques. Comput. Intell. 37(4): 1633-1650 (2021) - [j50]Radwa El Shawi, Abdul Wahab, Ahmed Barnawi, Sherif Sakr:
DLBench: a comprehensive experimental evaluation of deep learning frameworks. Clust. Comput. 24(3): 2017-2038 (2021) - [j49]Angela Bonifati, Irena Holubová, Arnau Prat-Pérez, Sherif Sakr:
Graph Generators: State of the Art and Open Challenges. ACM Comput. Surv. 53(2): 36:1-36:30 (2021) - [j48]Simona Micevska, Ahmed Awad, Sherif Sakr:
SDDM: an interpretable statistical concept drift detection method for data streams. J. Intell. Inf. Syst. 56(3): 459-484 (2021) - [c85]Radwa El Shawi, Hudson Lekunze, Sherif Sakr:
cSmartML: A Meta Learning-Based Framework for Automated Selection and Hyperparameter Tuning for Clustering. IEEE BigData 2021: 1119-1126 - [c84]Hassan Eldeeb, Oleh Matsuk, Mohamed Maher, Abdelrhman Eldallal, Sherif Sakr:
The impact of Auto-Sklearn's Learning Settings: Meta-learning, Ensembling, Time Budget, and Search Space Size. EDBT/ICDT Workshops 2021 - [c83]Radwa El Shawi, Youssef Sherif, Sherif Sakr:
Towards Automated Concept-based Decision TreeExplanations for CNNs. EDBT 2021: 379-384 - [i12]Mohamadjavad Bahmani, Radwa El Shawi, Nshan Potikyan, Sherif Sakr:
To tune or not to tune? An Approach for Recommending Important Hyperparameters. CoRR abs/2108.13066 (2021) - 2020
- [b7]Sherif Sakr:
Big Data 2.0 Processing Systems - A Systems Overview, Second Edition. Springer 2020, ISBN 978-3-030-44186-9, pp. 1-145 - [j47]Fuad Bajaber, Sherif Sakr, Omar Batarfi, Abdulrahman H. Altalhi, Ahmed Barnawi:
Benchmarking big data systems: A survey. Comput. Commun. 149: 241-251 (2020) - [j46]Ahmed Barnawi, Sherif Sakr, Wenjing Xiao, Abdullah Al-Barakati:
The views, measurements and challenges of elasticity in the cloud: A review. Comput. Commun. 154: 111-117 (2020) - [c82]Hazem Kotb, Mohamed ElHelw, Sherif Sakr:
AutoDLCon: An Approach for Controlling the Automated Tuning for Deep Learning Networks. BigDataService 2020: 157-164 - [c81]Mario Scrocca, Riccardo Tommasini, Alessandro Margara, Emanuele Della Valle, Sherif Sakr:
The Kaiju project: enabling event-driven observability. DEBS 2020: 85-96 - [c80]Heidy Hazem, Ahmed Awad, Ahmed Hassan Yousef, Sherif Sakr:
DISGD: A Distributed Shared-nothing Matrix Factorization for Large Scale Online Recommender Systems. EDBT 2020: 359-362 - [c79]Riccardo Tommasini, Sherif Sakr, Emanuele Della Valle, Hojjat Jafarpour:
Declarative Languages for Big Streaming Data. EDBT 2020: 643-646 - [c78]Ahmed Abd Elrahman, Mohamed ElHelw, Radwa El Shawi, Sherif Sakr:
D-SmartML: A Distributed Automated Machine Learning Framework. ICDCS 2020: 1215-1218 - [c77]Ahmed Awad, Matthias Weidlich, Sherif Sakr:
Process Mining over Unordered Event Streams. ICPM 2020: 81-88 - [c76]Riccardo Tommasini, Emanuele Della Valle, Marco Balduini, Sherif Sakr:
On Teaching Web Stream Processing - Lessons Learned. ICWE 2020: 485-493 - [c75]Mohamed Ragab, Riccardo Tommasini, Sherif Sakr:
Comparing Schema Advancements for Distributed RDF Querying Using SparkSQL. ISWC (Demos/Industry) 2020: 30-34 - [c74]Riccardo Tommasini, Mohamed Ragab, Alessandro Falcetta, Emanuele Della Valle, Sherif Sakr:
A First Step Towards a Streaming Linked Data Life-Cycle. ISWC (2) 2020: 634-650 - [c73]Mohamed Ragab, Riccardo Tommasini, Sadiq Eyvazov, Sherif Sakr:
Towards making sense of Spark-SQL performance for processing vast distributed RDF datasets. SBD@SIGMOD 2020: 1:1-1:6 - [i11]Angela Bonifati, Irena Holubová, Arnau Prat-Pérez, Sherif Sakr:
Graph Generators: State of the Art and Open Challenges. CoRR abs/2001.07906 (2020) - [i10]Sherif Sakr, Angela Bonifati, Hannes Voigt, Alexandru Iosup, Khaled Ammar, Renzo Angles, Walid G. Aref, Marcelo Arenas, Maciej Besta, Peter A. Boncz, Khuzaima Daudjee, Emanuele Della Valle, Stefania Dumbrava, Olaf Hartig, Bernhard Haslhofer, Tim Hegeman, Jan Hidders, Katja Hose, Adriana Iamnitchi, Vasiliki Kalavri, Hugo Kapp, Wim Martens, M. Tamer Özsu, Eric Peukert, Stefan Plantikow, Mohamed Ragab, Matei Ripeanu, Semih Salihoglu, Christian Schulz, Petra Selmer, Juan F. Sequeda, Joshua Shinavier, Gábor Szárnyas, Riccardo Tommasini, Antonino Tumeo, Alexandru Uta, Ana Lucia Varbanescu, Hsiang-Yun Wu, Nikolay Yakovets, Da Yan, Eiko Yoneki:
The Future is Big Graphs! A Community View on Graph Processing Systems. CoRR abs/2012.06171 (2020)
2010 – 2019
- 2019
- [j45]Victor Aluko, Sherif Sakr:
Big SQL systems: an experimental evaluation. Clust. Comput. 22(4): 1347-1377 (2019) - [j44]Ahmed Barnawi, Ahmed Awad, Amal Elgammal, Radwa El Shawi, Abduallah Almalaise, Sherif Sakr:
Correction to: Runtime self-monitoring approach of business process compliance in cloud environments. Clust. Comput. 22(Suppl 1): 2541 (2019) - [j43]Mohammed Zeyad Al Yousef, Mazen Ferwana, Sherif Sakr, Riyad Al Shammari:
Early prediction of diabetes by applying data mining techniques. Comput. Methods Programs Biomed. 171: 3 (2019) - [j42]Sherif Sakr, Albert Y. Zomaya, Athanasios V. Vasilakos:
Editorial for Special issue of FGCS special issue on "Benchmarking big data systems". Future Gener. Comput. Syst. 96: 32-34 (2019) - [j41]Radwa El Shawi, Mouaz H. Al-Mallah, Sherif Sakr:
On the interpretability of machine learning-based model for predicting hypertension. BMC Medical Informatics Decis. Mak. 19(1): 146:1-146:32 (2019) - [c72]Radwa El Shawi, Youssef Sherif, Mouaz H. Al-Mallah, Sherif Sakr:
ILIME: Local and Global Interpretable Model-Agnostic Explainer of Black-Box Decision. ADBIS 2019: 53-68 - [c71]Ahmed Ramzy, Ahmed Awad, Amr A. Kamel, Osman Hegazy, Sherif Sakr:
Calculation of Average Road Speed Based on Car-to-Car Messaging. BigComp 2019: 1-8 - [c70]Nesma Mahmoud, Youssef Essam, Radwa El Shawi, Sherif Sakr:
DLBench: An Experimental Evaluation of Deep Learning Frameworks. BigData Congress 2019: 149-156 - [c69]Ahmed Awad, Riccardo Tommasini, Mahmoud Kamel, Emanuele Della Valle, Sherif Sakr:
D ^2 2 IA: Stream Analytics on User-Defined Event Intervals. CAiSE 2019: 346-361 - [c68]Radwa El Shawi, Youssef Sherif, Mouaz H. Al-Mallah, Sherif Sakr:
Interpretability in HealthCare A Comparative Study of Local Machine Learning Interpretability Techniques. CBMS 2019: 275-280 - [c67]Tarun Khajuria, Eman Badr, Mouaz H. Al-Mallah, Sherif Sakr:
LDLCT An Instance-Based Framework for Lesion Detection on Lung CT Scans. CBMS 2019: 523-526 - [c66]Riccardo Tommasini, Sherif Sakr, Marco Balduini, Emanuele Della Valle:
An Outlook to Declarative Languages for Big Steaming Data. DEBS 2019: 199-202 - [c65]Radwa El Shawi, Sherif Sakr:
Automated Machine Learning: Techniques and Frameworks. eBISS 2019: 40-69 - [c64]Sherif Sakr, Mohamed Ragab, Mohamed Maher, Ahmed Awad:
MINARET: A Recommendation Framework for Scientific Reviewers. EDBT 2019: 538-541 - [c63]Mohamed Maher, Sherif Sakr:
SmartML: A Meta Learning-Based Framework for Automated Selection and Hyperparameter Tuning for Machine Learning Algorithms. EDBT 2019: 554-557 - [c62]Ahmed Awad, Jonas Traub, Sherif Sakr:
Adaptive Watermarks: A Concept Drift-based Approach for Predicting Event-Time Progress in Data Streams. EDBT 2019: 622-625 - [c61]Elkhan Shahverdi, Ahmed Awad, Sherif Sakr:
Big Stream Processing Systems: An Experimental Evaluation. ICDE Workshops 2019: 53-60 - [c60]Salijona Dyrmishi, Radwa El Shawi, Sherif Sakr:
A Decision Support Framework for AutoML Systems: A Meta-Learning Approach. ICDM Workshops 2019: 97-106 - [c59]Riccardo Tommasini, Mohamed Ragab, Alessandro Falcetta, Emanuele Della Valle, Sherif Sakr:
Bootstrapping the Publication of Linked Data Streams. ISWC (Satellites) 2019: 29-32 - [c58]Mohamed Ragab, Riccardo Tommasini, Sherif Sakr:
Benchmarking Spark-SQL under Alliterative RDF Relational Storage Backends. QuWeDa@ISWC 2019: 67-82 - [e6]Sherif Sakr, Albert Y. Zomaya:
Encyclopedia of Big Data Technologies. Springer 2019, ISBN 978-3-319-63962-8 [contents] - [r3]Sherif Sakr:
NoSQL Database Systems. Encyclopedia of Big Data Technologies 2019 - [r2]Marcin Wylot, Sherif Sakr:
Framework-Based Scale-Out RDF Systems. Encyclopedia of Big Data Technologies 2019 - [r1]Marcin Wylot, Sherif Sakr:
Native Distributed RDF Systems. Encyclopedia of Big Data Technologies 2019 - [i9]Radwa El Shawi, Mohamed Maher, Sherif Sakr:
Automated Machine Learning: State-of-The-Art and Open Challenges. CoRR abs/1906.02287 (2019) - [i8]Angela Bonifati, Alexandru Iosup, Sherif Sakr, Hannes Voigt:
Big Graph Processing Systems (Dagstuhl Seminar 19491). Dagstuhl Reports 9(12): 1-27 (2019) - 2018
- [b6]Sherif Sakr, Marcin Wylot, Raghava Mutharaju, Danh Le Phuoc, Irini Fundulaki:
Linked Data - Storing, Querying, and Reasoning. Springer 2018, ISBN 978-3-319-73514-6, pp. 1-223 - [j40]Sherif Sakr, Zakaria Maamar, Ahmed Awad, Boualem Benatallah, Wil M. P. van der Aalst:
Business Process Analytics and Big Data Systems: A Roadmap to Bridge the Gap. IEEE Access 6: 77308-77320 (2018) - [j39]Sherif Sakr, Albert Y. Zomaya:
Editorial for Special Issue of Journal of Big Data Research on "Big Medical/Healthcare Data Analytics". Big Data Res. 13: 1-2 (2018) - [j38]Radwa El Shawi, Sherif Sakr, Domenico Talia, Paolo Trunfio:
Big Data Systems Meet Machine Learning Challenges: Towards Big Data Science as a Service. Big Data Res. 14: 1-11 (2018) - [j37]Omar Batarfi, Radwa El Shawi, Ayman G. Fayoumi, Reza Nouri, Amin Beheshti, Ahmed Barnawi, Sherif Sakr:
Correction To: Large scale graph processing systems: survey and an experimental evaluation. Clust. Comput. 21(2): 1455 (2018) - [j36]Marcin Wylot, Manfred Hauswirth, Philippe Cudré-Mauroux, Sherif Sakr:
RDF Data Storage and Query Processing Schemes: A Survey. ACM Comput. Surv. 51(4): 84:1-84:36 (2018) - [j35]Martin Hirzel, Guillaume Baudart, Angela Bonifati, Emanuele Della Valle, Sherif Sakr, Akrivi Vlachou:
Stream Processing Languages in the Big Data Era. SIGMOD Rec. 47(2): 29-40 (2018) - [j34]Sherif Sakr, Tilmann Rabl, Martin Hirzel, Paris Carbone, Martin Strohbach:
Dagstuhl Seminar on Big Stream Processing. SIGMOD Rec. 47(3): 36-39 (2018) - [j33]Dongyao Wu, Liming Zhu, Qinghua Lu, Sherif Sakr:
HDM: A Composable Framework for Big Data Processing. IEEE Trans. Big Data 4(2): 150-163 (2018) - [j32]Huijun Wu, Chen Wang, Yinjin Fu, Sherif Sakr, Kai Lu, Liming Zhu:
A Differentiated Caching Mechanism to Enable Primary Storage Deduplication in Clouds. IEEE Trans. Parallel Distributed Syst. 29(6): 1202-1216 (2018) - [c57]Dongyao Wu, Sherif Sakr, Liming Zhu, Sung Une Lee, Huijun Wu:
HDM-MC in-Action: A Framework for Big Data Analytics across Multiple Clusters. ICDCS 2018: 1547-1550 - [c56]Reham Aldakhil, Mouaz Almallah Almallah, Sherif Sakr:
Predictive Model for the Incidence of Hyperkalemia for Congestive Heart Failure Patients on Spironolactone. ICHI 2018: 384-385 - 2017
- [j31]Radim Baca, Michal Krátký, Irena Holubová, Martin Necaský, Tomás Skopal, Martin Svoboda, Sherif Sakr:
Structural XML Query Processing. ACM Comput. Surv. 50(5): 64:1-64:41 (2017) - [j30]Sherif Sakr:
Big Data Processing Stacks. IT Prof. 19(1): 34-41 (2017) - [j29]Sherif Sakr, Radwa El Shawi, Amjad M. Ahmed, Waqas T. Qureshi, Clinton A. Brawner, Steven J. Keteyian, Michael J. Blaha, Mouaz H. Al-Mallah:
Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project. BMC Medical Informatics Decis. Mak. 17(1): 174:1-174:15 (2017) - [j28]Zakaria Maamar, Noura Faci, Mohamed Sellami, Khouloud Boukadi, Fadwa Yahya, Ahmed Barnawi, Sherif Sakr:
On business process monitoring using cross-flow coordination. Serv. Oriented Comput. Appl. 11(2): 203-215 (2017) - [c55]Dongyao Wu, Sherif Sakr, Liming Zhu, Huijun Wu:
Towards Big Data Analytics across Multiple Clusters. CCGrid 2017: 218-227 - [c54]Dongyao Wu, Sherif Sakr, Liming Zhu:
HDM: Optimized Big Data Processing with Data Provenance. EDBT 2017: 530-533 - [p9]Dongyao Wu, Sherif Sakr, Liming Zhu:
Big Data Storage and Data Models. Handbook of Big Data Technologies 2017: 3-29 - [p8]Dongyao Wu, Sherif Sakr, Liming Zhu:
Big Data Programming Models. Handbook of Big Data Technologies 2017: 31-63 - [p7]Manfred Hauswirth, Marcin Wylot, Martin Grund, Sherif Sakr, Philippe Cudré-Mauroux:
Non-native RDF Storage Engines. Handbook of Big Data Technologies 2017: 339-364 - [e5]Albert Y. Zomaya, Sherif Sakr:
Handbook of Big Data Technologies. Springer 2017, ISBN 978-3-319-49339-8 [contents] - [e4]Abdelkader Hameurlain, Josef Küng, Roland R. Wagner, Sherif Sakr, Imran Razzak, Riyad Alshammari:
Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXV. Lecture Notes in Computer Science 10680, Springer 2017, ISBN 978-3-662-56120-1 [contents] - [i7]Huijun Wu, Chen Wang, Yinjin Fu, Sherif Sakr, Liming Zhu, Kai Lu:
HPDedup: A Hybrid Prioritized Data Deduplication Mechanism for Primary Storage in the Cloud. CoRR abs/1702.08153 (2017) - [i6]Radwa El Shawi, Sherif Sakr:
Big Data Systems Meet Machine Learning Challenges: Towards Big Data Science as a Service. CoRR abs/1709.07493 (2017) - [i5]Tilmann Rabl, Sherif Sakr, Martin Hirzel:
Big Stream Processing Systems (Dagstuhl Seminar 17441). Dagstuhl Reports 7(10): 111-138 (2017) - 2016
- [b5]Amin Beheshti, Boualem Benatallah, Sherif Sakr, Daniela Grigori, Hamid Reza Motahari-Nezhad, Moshe Chai Barukh, Ahmed Gater, Seung Hwan Ryu:
Process Analytics - Concepts and Techniques for Querying and Analyzing Process Data. Springer 2016, ISBN 978-3-319-25036-6, pp. 1-178 - [b4]Sherif Sakr, Faisal Moeen Orakzai, Ibrahim Abdelaziz, Zuhair Khayyat:
Large-Scale Graph Processing Using Apache Giraph. Springer 2016, ISBN 978-3-319-47430-4 - [b3]Sherif Sakr:
Big Data 2.0 Processing Systems - A Survey. Springer Briefs in Computer Science, Springer 2016, ISBN 978-3-319-38775-8, pp. 1-95 - [j27]Sherif Sakr, Amal Elgammal:
Towards a Comprehensive Data Analytics Framework for Smart Healthcare Services. Big Data Res. 4: 44-58 (2016) - [j26]Fuad Bajaber, Radwa El Shawi, Omar Batarfi, Abdulrahman H. Altalhi, Ahmed Barnawi, Sherif Sakr:
Big Data 2.0 Processing Systems: Taxonomy and Open Challenges. J. Grid Comput. 14(3): 379-405 (2016) - [j25]Zakaria Maamar, Noura Faci, Sherif Sakr, Mohamed Boukhebouze, Ahmed Barnawi:
Network-based social coordination of business processes. Inf. Syst. 58: 56-74 (2016) - [j24]Dongyao Wu, Liming Zhu, Xiwei Xu, Sherif Sakr, Daniel Sun, Qinghua Lu:
Building Pipelines for Heterogeneous Execution Environments for Big Data Processing. IEEE Softw. 33(2): 60-67 (2016) - [c53]Aisha Hasan, Mohammad Hammoud, Reza Nouri, Sherif Sakr:
DREAM in Action: A Distributed and Adaptive RDF System on the Cloud. WWW (Companion Volume) 2016: 191-194 - 2015
- [j23]Omar Batarfi, Radwa El Shawi, Ayman G. Fayoumi, Reza Nouri, Amin Beheshti, Ahmed Barnawi, Sherif Sakr:
Large scale graph processing systems: survey and an experimental evaluation. Clust. Comput. 18(3): 1189-1213 (2015) - [j22]Ahmed Barnawi, Ahmed Awad, Amal Elgammal, Radwa El Shawi, Abduallah Almalaise, Sherif Sakr:
Runtime self-monitoring approach of business process compliance in cloud environments. Clust. Comput. 18(4): 1503-1526 (2015) - [j21]Zakaria Maamar, Noura Faci, Ejub Kajan, Sherif Sakr, Mohamed Boukhebouze, Ahmed Barnawi:
How to Make Business Processes "Socialize"? EAI Endorsed Trans. Ind. Networks Intell. Syst. 2(5): e2 (2015) - [j20]Mohammad Hammoud, Dania Abed Rabbou, Reza Nouri, Amin Beheshti, Sherif Sakr:
DREAM: Distributed RDF Engine with Adaptive Query Planner and Minimal Communication. Proc. VLDB Endow. 8(6): 654-665 (2015) - [j19]Liang Zhao, Sherif Sakr, Anna Liu:
A Framework for Consumer-Centric SLA Management of Cloud-Hosted Databases. IEEE Trans. Serv. Comput. 8(4): 534-549 (2015) - [c52]Zakaria Maamar, Sherif Sakr, Ahmed Barnawi, Amin Beheshti:
A Framework of Enriching Business Processes Life-Cycle with Tagging Information. ADC 2015: 309-313 - [c51]Dongyao Wu, Sherif Sakr, Liming Zhu, Qinghua Lu:
Composable and efficient functional big data processing framework. IEEE BigData 2015: 279-286 - [c50]Radwa El Shawi, Omar Batarfi, Ayman G. Fayoumi, Ahmed Barnawi, Sherif Sakr:
Big Graph Processing Systems: State-of-the-Art and Open Challenges. BigDataService 2015: 24-33 - [c49]Ahmed Barnawi, Ahmed Awad, Amal Elgammal, Radwa El Shawi, Abduallah Almalaise, Sherif Sakr:
BP-MaaS: A Runtime Compliance-Monitoring System for Business Processes. BPM (Demos) 2015: 25-29 - [c48]Sherif Sakr, Amin Shafaat, Fuad Bajaber, Ahmed Barnawi, Omar Batarfi, Abdulrahman H. Altalhi:
Liquid Benchmarking: A Platform for Democratizing the Performance Evaluation Process. EDBT 2015: 537-540 - [c47]Ahmed Awad, Ahmed Barnawi, Amal Elgammal, Radwa El Shawi, Abduallah Almalaise, Sherif Sakr:
Runtime detection of business process compliance violations: an approach based on anti patterns. SAC 2015: 1203-1210 - [e3]Abdelkader Hameurlain, Josef Küng, Roland R. Wagner, Sherif Sakr, Lizhe Wang, Albert Y. Zomaya:
Transactions on Large-Scale Data- and Knowledge-Centered Systems XX - Special Issue on Advanced Techniques for Big Data Management. Lecture Notes in Computer Science 9070, Springer 2015, ISBN 978-3-662-46702-2 [contents] - 2014
- [b2]Liang Zhao, Sherif Sakr, Anna Liu, Athman Bouguettaya:
Cloud Data Management. Springer 2014, ISBN 978-3-319-04764-5, pp. 1-189 - [j18]Sherif Sakr:
Cloud-hosted databases: technologies, challenges and opportunities. Clust. Comput. 17(2): 487-502 (2014) - [j17]Sherif Sakr, Sameh Elnikety, Yuxiong He:
Hybrid query execution engine for large attributed graphs. Inf. Syst. 41: 45-73 (2014) - [c46]Zakaria Maamar, Sherif Sakr, Noura Faci, Mohamed Boukhebouze, Ahmed Barnawi:
SUPER: Social-Based Business Process Management Framework. ICSOC Workshops 2014: 413-417 - [c45]Ebtesam Ahmad Alomari, Ahmed Barnawi, Sherif Sakr:
CDPort: A Framework of Data Portability in Cloud Platforms. iiWAS 2014: 126-133 - [c44]Ahmed Barnawi, Omar Batarfi, Amin Beheshti, Radwa El Shawi, Ayman G. Fayoumi, Reza Nouri, Sherif Sakr:
On Characterizing the Performance of Distributed Graph Computation Platforms. TPCTC 2014: 29-43 - [c43]David Bermbach, Jörn Kuhlenkamp, Akon Dey, Sherif Sakr, Raghunath Nambiar:
Towards an Extensible Middleware for Database Benchmarking. TPCTC 2014: 82-96 - [c42]Zakaria Maamar, Noura Faci, Ejub Kajan, Khouloud Boukadi, Sherif Sakr, Mohamed Boukhebouze, Soraya Kouadri Mostéfaoui, Vanilson Arruda Burégio, Fadwa Yahya, Valérie Monfort, Romain Hennion:
Enterprise 2.0: Research Challenges and Opportunities. WEBIST (Revised Selected Papers) 2014: 16-30 - [p6]Sherif Sakr, Anna Liu, Ayman G. Fayoumi:
MapReduce Family of Large-Scale Data-Processing Systems.