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Rizos Sakellariou
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- affiliation: University of Manchester, UK
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2020 – today
- 2024
- [j56]Aisha Aljohani
, Rizos Sakellariou
Improved Application Placement in Fog Environments Through Parallel Collaboration. IEEE Access 12: 177379-177397 (2024) - [j55]Ahmad Zareie
Maximizing the Diversity of Exposure in Online Social Networks by Identifying Users with Increased Susceptibility to Persuasion. ACM Trans. Knowl. Discov. Data 18(2): 42:1-42:21 (2024) - [j54]Ahmad Zareie
Fuzzy Influence Maximization in Social Networks. ACM Trans. Web 18(3): 32:1-32:28 (2024) - [i11]Sukhpal Singh Gill, Huaming Wu, Panos Patros, Carlo Ottaviani, Priyansh Arora, Victor Casamayor-Pujol, David Haunschild, Ajith Kumar Parlikad, Oktay Cetinkaya
Modern Computing: Vision and Challenges. CoRR abs/2401.02469 (2024) - 2023
- [j53]Damian Arellanes, Kung-Kiu Lau, Rizos Sakellariou:
Decentralized Data Flows for the Functional Scalability of Service-Oriented IoT Systems. Comput. J. 66(6): 1477-1506 (2023) - [j52]Abdul R. Hummaida
A hierarchical decentralized architecture to enable adaptive scalable virtual machine migration. Concurr. Comput. Pract. Exp. 35(2) (2023) - [j51]Ahmad Zareie
Centrality measures in fuzzy social networks. Inf. Syst. 114: 102179 (2023) - [j50]Ahmad Zareie, Rizos Sakellariou:
Influence maximization in social networks: a survey of behaviour-aware methods. Soc. Netw. Anal. Min. 13(1): 78 (2023) - [j49]Alvaro A. A. Fernandes, Martin Koehler, Nikolaos Konstantinou, Pavel Pankin, Norman W. Paton
Data Preparation: A Technological Perspective and Review. SN Comput. Sci. 4(4): 425 (2023) - [c111]Aisha Aljohani
Improved IoT Application Placement in Fog Computing Through Postponement. Euro-Par Workshops 2023: 224-228 - [c110]Ruben Enrique Padilla Robles
Path Plan Optimisation for UAV Assisted Data Collection in Large Areas. Euro-Par Workshops 2023: 314-320 - [e7]José Cano
Euro-Par 2023: Parallel Processing - 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28 - September 1, 2023, Proceedings. Lecture Notes in Computer Science 14100, Springer 2023, ISBN 978-3-031-39697-7 [contents] - [i10]Sukhpal Singh Gill, Minxian Xu, Panos Patros, Huaming Wu, Rupinder Kaur, Kamalpreet Kaur, Stephanie Fuller, Manmeet Singh, Priyansh Arora, Ajith Kumar Parlikad, Vlado Stankovski, Ajith Abraham, Soumya K. Ghosh, Hanan Lutfiyya, Salil S. Kanhere, Rami Bahsoon, Omer F. Rana, Schahram Dustdar, Rizos Sakellariou, Steve Uhlig, Rajkumar Buyya:
Transformative Effects of ChatGPT on Modern Education: Emerging Era of AI Chatbots. CoRR abs/2306.03823 (2023) - 2022
- [j48]Abdul Rahman Hummaida
Scalable Virtual Machine Migration using Reinforcement Learning. J. Grid Comput. 20(2): 15 (2022) - [j47]Sukhpal Singh Gill
AI for next generation computing: Emerging trends and future directions. Internet Things 19: 100514 (2022) - [j46]Sushil K. Prasad, Sheikh K. Ghafoor, Martina Barnas, Felix Wolf, Erik Saule, Noemi Rodriguez, Rizos Sakellariou:
Keeping up with technology: Teaching parallel, distributed, and high-performance computing. J. Parallel Distributed Comput. 160: 36-38 (2022) - [j45]Shreshth Tuli
HUNTER: AI based holistic resource management for sustainable cloud computing. J. Syst. Softw. 184: 111124 (2022) - [j44]Ahmad Zareie
Rumour spread minimization in social networks: A source-ignorant approach. Online Soc. Networks Media 29: 100206 (2022) - [j43]Ahmad Zareie
Mitigating virus spread through dynamic control of community-based social interactions for infection rate and cost. Soc. Netw. Anal. Min. 12(1): 132 (2022) - [c109]Ahmad Zareie, Rizos Sakellariou:
Minimizing the Importance Inequality of Nodes in a Social Network Graph. ASONAM 2022: 194-201 - [c108]Abdul Rahman Hummaida
Dynamic Threshold Setting for VM Migration. ESOCC 2022: 31-46 - [p2]Andreas Alexopoulos, Yolanda Becerra, Omer Boehm, George Bravos, Vasilis Chatzigiannakis, Cesare Cugnasco, Giorgos Demetriou, Iliada Eleftheriou, Lidija Fodor, Spiros Fotis, Sotiris Ioannidis, Dusan Jakovetic, Leonidas Kallipolitis, Vlatka Katusic, Evangelia Kavakli, Despina Kopanaki, Christoforos Leventis, Mario Maawad Marcos, Ramon Martín de Pozuelo, Miquel Martínez, Nemanja Milosevic, Enric Pages i Montanera, Gerald H. Ristow, Hernan Ruiz-Ocampo, Rizos Sakellariou, Raül Sirvent, Srdjan Skrbic, Ilias Spais, Giorgos Vasiliadis, Michael Vinov:
Big Data Analytics in the Banking Sector: Guidelines and Lessons Learned from the CaixaBank Case. Technologies and Applications for Big Data Value 2022: 273-297 - [p1]Andreas Alexopoulos, Yolanda Becerra, Omer Boehm, George Bravos, Vasilis Chatzigiannakis, Cesare Cugnasco, Giorgos Demetriou, Iliada Eleftheriou, Spiros Fotis, Gianmarco Genchi, Sotiris Ioannidis, Dusan Jakovetic, Leonidas Kallipolitis, Vlatka Katusic, Evangelia Kavakli, Despina Kopanaki, Christoforos Leventis, Miquel Martínez, Julien-Etienne Mascolo, Nemanja Milosevic, Enric Pages i Montanera, Gerald H. Ristow, Hernan Ruiz-Ocampo, Rizos Sakellariou, Raül Sirvent, Srdjan Skrbic, Ilias Spais, Giuseppe Danilo Spennacchio, Dusan Stamenkovic, Giorgos Vasiliadis, Michael Vinov:
Big Data Analytics in the Manufacturing Sector: Guidelines and Lessons Learned Through the Centro Ricerche FIAT (CRF) Case. Technologies and Applications for Big Data Value 2022: 321-344 - [i9]Sukhpal Singh Gill, Minxian Xu, Carlo Ottaviani, Panos Patros, Rami Bahsoon, Arash Shaghaghi, Muhammed Golec, Vlado Stankovski, Huaming Wu, Ajith Abraham, Manmeet Singh, Harshit Mehta, Soumya K. Ghosh, Thar Baker, Ajith Kumar Parlikad, Hanan Lutfiyya, Salil S. Kanhere, Rizos Sakellariou, Schahram Dustdar, Omer F. Rana
AI for Next Generation Computing: Emerging Trends and Future Directions. CoRR abs/2203.04159 (2022) - 2021
- [j42]Rafael Ferreira da Silva, Sandra Gesing, Rizos Sakellariou, Ian J. Taylor:
Special issue on workflows in support of large-scale science. Future Gener. Comput. Syst. 118: 73-74 (2021) - [j41]Ahmad Zareie
Minimizing the spread of misinformation in online social networks: A survey. J. Netw. Comput. Appl. 186: 103094 (2021) - [j40]Mingze Ma
Code-size-aware Scheduling of Synchronous Dataflow Graphs on Multicore Systems. ACM Trans. Embed. Comput. Syst. 20(3): 20:1-20:24 (2021) - [e6]Ivona Brandic, Rizos Sakellariou, Josef Spillner
UCC '21: 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing, Leicester, United Kingdom, December 6 - 9, 2021. ACM 2021, ISBN 978-1-4503-8564-0 [contents] - [i8]Ahmad Zareie, Rizos Sakellariou:
Influence Maximization in Social Networks: A Survey of Behaviour-Aware Methods. CoRR abs/2108.03438 (2021) - [i7]Shreshth Tuli, Sukhpal Singh Gill, Minxian Xu, Peter Garraghan, Rami Bahsoon, Schahram Dustdar, Rizos Sakellariou, Omer F. Rana, Rajkumar Buyya, Giuliano Casale, Nicholas R. Jennings:
HUNTER: AI based Holistic Resource Management for Sustainable Cloud Computing. CoRR abs/2110.05529 (2021) - [i6]Ahmad Zareie, Amir Sheikhahmadi, Rizos Sakellariou:
A Composite Centrality Measure for Improved Identification of Influential Users. CoRR abs/2111.04529 (2021) - 2020
- [j39]Zeqian Meng, John Brooke, Junyi Han, Rizos Sakellariou
A Negotiation Protocol for Fine-Grained Accountable Resource Provisioning and Sharing in e-Science. J. Grid Comput. 18(3): 471-490 (2020) - [j38]Shreshth Tuli
Next generation technologies for smart healthcare: challenges, vision, model, trends and future directions. Internet Technol. Lett. 3(2) (2020) - [j37]Sukhpal Singh Gill
ThermoSim: Deep learning based framework for modeling and simulation of thermal-aware resource management for cloud computing environments. J. Syst. Softw. 166: 110596 (2020) - [j36]Drazen Lucanin
Performance-Based Pricing in Multi-Core Geo-Distributed Cloud Computing. IEEE Trans. Cloud Comput. 8(4): 1079-1092 (2020) - [c107]Evangelia Kavakli, Rizos Sakellariou, Iliada Eleftheriou, Julien-Etienne Mascolo:
Towards a Multi-Perspective Methodology for Big Data Requirements. IEEE BigData 2020: 5719-5720 - [c106]Abdullah Khalid A. Almasaud, Agresh Bharadwaj, Sandra Sampaio, Rizos Sakellariou:
Challenges in Resource Provisioning for the Execution of Data Wrangling Workflows on the Cloud: A Case Study. DEXA (2) 2020: 66-75 - [c105]Wei Zheng, Zhaobin Chen, Rizos Sakellariou, Lu Tang, Jinjun Chen:
Evaluating DAG Scheduling Algorithms for Maximum Parallelism. ISPA/BDCloud/SocialCom/SustainCom 2020: 49-56 - [e5]Ivona Brandic
Algorithmic Aspects of Cloud Computing - 5th International Symposium, ALGOCLOUD 2019, Munich, Germany, September 10, 2019, Revised Selected Papers. Lecture Notes in Computer Science 12041, Springer 2020, ISBN 978-3-030-58627-0 [contents] - [i5]Sukhpal Singh Gill, Shreshth Tuli, Adel Nadjaran Toosi, Félix Cuadrado, Peter Garraghan, Rami Bahsoon, Hanan Lutfiyya, Rizos Sakellariou, Omer F. Rana, Schahram Dustdar, Rajkumar Buyya:
ThermoSim: Deep Learning based Framework for Modeling and Simulation of Thermal-aware Resource Management for Cloud Computing Environments. CoRR abs/2004.08131 (2020)
2010 – 2019
- 2019
- [j35]Ilia Pietri
A Pareto-based approach for CPU provisioning of scientific workflows on clouds. Future Gener. Comput. Syst. 94: 479-487 (2019) - [j34]Ewa Deelman
The role of machine learning in scientific workflows. Int. J. High Perform. Comput. Appl. 33(6) (2019) - [j33]Georgios Kourtis
A Rule-Based Approach Founded on Description Logics for Industry 4.0 Smart Factories. IEEE Trans. Ind. Informatics 15(9): 4888-4899 (2019) - [c104]Abdelkhalik Mosa
Dynamic Virtual Machine Placement Considering CPU and Memory Resource Requirements. CLOUD 2019: 196-198 - [c103]Petar Kochovski, Rizos Sakellariou
An Architecture and Stochastic Method for Database Container Placement in the Edge-Fog-Cloud Continuum. IPDPS 2019: 396-405 - [c102]Petar Kochovski, Marko Bajec, Rizos Sakellariou, Vlado Stankovski:
A Smart and Safe Construction Application Design for Fog Computing. SERVICES 2019: 378-379 - [c101]Evangelia Kavakli, Rizos Sakellariou, Vlado Stankovski:
Towards a Methodology for Evaluating Big Data Platforms. SERVICES 2019: 380-381 - [c100]Ioannis Arapakis, Yolanda Becerra, Omer Boehm, George Bravos, Vasilis Chatzigiannakis, Cesare Cugnasco, Giorgos Demetriou, Iliada Eleftheriou, Julien-Etienne Mascolo, Lidija Fodor
Towards Specification of a Software Architecture for Cross-Sectoral Big Data Applications. SERVICES 2019: 394-395 - [i4]Luiz F. Bittencourt, Alfredo Goldman, Edmundo R. M. Madeira, Nelson L. S. da Fonseca, Rizos Sakellariou:
Scheduling in distributed systems: A cloud computing perspective. CoRR abs/1901.03270 (2019) - 2018
- [j32]Luiz F. Bittencourt, Alfredo Goldman
Scheduling in distributed systems: A cloud computing perspective. Comput. Sci. Rev. 30: 31-54 (2018) - [j31]Luiz F. Bittencourt, Roger Immich
The Internet of Things, Fog and Cloud continuum: Integration and challenges. Internet Things 3-4: 134-155 (2018) - [c99]Thomas Lambert, Rizos Sakellariou
Allocation of Publisher/Subscriber Data Links on a Set of Virtual Machines. IEEE CLOUD 2018: 516-523 - [c98]Evangelia Kavakli, Jorge Buenabad Chávez, Vasilios Tountopoulos, Pericles Loucopoulos, Rizos Sakellariou
Specification of a Software Architecture for an Industry 4.0 Environment. ES 2018: 36-43 - [c97]Vasilios Tountopoulos, Evangelia Kavakli, Rizos Sakellariou
Towards a Cloud-Based Controller for Data-Driven Service Orchestration in Smart Manufacturing. ES 2018: 96-99 - [c96]Jorge Buenabad-Chávez, Gabor Kecskemeti, Vasilios Tountopoulos, Evangelia Kavakli, Rizos Sakellariou
Towards a Methodology for RAMI4.0 Service Design. ES 2018: 188-195 - [c95]Mingze Ma
Reducing Code Size in Scheduling Synchronous Dataflow Graphs on Multicore Systems. PARMA-DITAM@HiPEAC 2018: 57-62 - [c94]Abdelkhalik Mosa
Dynamic Tuning for Parameter-Based Virtual Machine Placement. ISPDC 2018: 38-45 - [c93]Mingze Ma
Communication-aware scheduling algorithms for synchronous dataflow graphs on multicore systems. SAMOS 2018: 55-64 - [c92]Rizos Sakellariou
High performance computing and industry 4.0: experiences from the DISRUPT project. SAMOS 2018: 218-219 - [c91]Evangelia Kavakli, Jorge Buenabad Chávez, Vasilios Tountopoulos, Pericles Loucopoulos, Rizos Sakellariou
WiP: An Architecture for Disruption Management in Smart Manufacturing. SMARTCOMP 2018: 279-281 - [c90]Ilia Pietri
Scheduling data-intensive scientific workflows with reduced communication. SSDBM 2018: 25:1-25:4 - [c89]Thiago Augusto Lopes Genez
Scheduling Scientific Workflows on Clouds Using a Task Duplication Approach. UCC 2018: 83-92 - [e4]Dora Blanco Heras, Luc Bougé
Euro-Par 2017: Parallel Processing Workshops - Euro-Par 2017 International Workshops, Santiago de Compostela, Spain, August 28-29, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10659, Springer 2018, ISBN 978-3-319-75177-1 [contents] - [i3]Drazen Lucanin, Ilia Pietri, Ivona Brandic, Rizos Sakellariou:
A Cloud Controller for Performance-Based Pricing. CoRR abs/1809.05840 (2018) - [i2]Drazen Lucanin, Ilia Pietri, Simon Holmbacka, Ivona Brandic, Johan Lilius, Rizos Sakellariou
Performance-Based Pricing in Multi-Core Geo-Distributed Cloud Computing. CoRR abs/1809.05842 (2018) - [i1]Luiz F. Bittencourt, Roger Immich, Rizos Sakellariou
The Internet of Things, Fog and Cloud Continuum: Integration and Challenges. CoRR abs/1809.09972 (2018) - 2017
- [j30]Kenneth O'Brien, Ilia Pietri
A Survey of Power and Energy Predictive Models in HPC Systems and Applications. ACM Comput. Surv. 50(3): 37:1-37:38 (2017) - [j29]Rafael Ferreira da Silva
A characterization of workflow management systems for extreme-scale applications. Future Gener. Comput. Syst. 75: 228-238 (2017) - [j28]Laurence Field, Rizos Sakellariou
An Evaluation of Information Consistency in Grid Information Systems. J. Grid Comput. 15(1): 127-137 (2017) - [c88]Thiago Augusto Lopes Genez
A Robust Scheduler for Workflow Ensembles under Uncertainties of Available Bandwidth. CLOUD 2017: 504-511 - [c87]Mingze Ma
Code-size-aware mapping for synchronous dataflow graphs on multicore systems: work-in-progress. CASES 2017: 13:1-13:2 - [c86]Sanna Aizad, Ashiq Anjum
Representing Variant Calling Format as Directed Acyclic Graphs to enable the use of cloud computing for efficient and cost effective genome analysis. CCGrid 2017: 784-787 - [c85]Abdelkhalik Mosa
Virtual machine consolidation for cloud data centers using parameter-based adaptive allocation. ECBS 2017: 16:1-16:10 - [c84]Ilia Pietri, Sicong Zhuang, Marc Casas
Evaluating Scientific Workflow Execution on an Asymmetric Multicore Processor. Euro-Par Workshops 2017: 439-451 - [c83]Abdul Rahman Hummaida
SHDF - A Scalable Hierarchical Distributed Framework for Data Centre Management. ISPDC 2017: 102-111 - [e3]Sandra Gesing, Rizos Sakellariou:
Proceedings of the 11th Workshop on Workflows in Support of Large-Scale Science co-located with The International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2016), Salt Lake City, Utah, USA, November 14, 2016. CEUR Workshop Proceedings 1800, CEUR-WS.org 2017 [contents] - [e2]Johan Montagnat, Ian J. Taylor, Sandra Gesing, Rizos Sakellariou:
Proceedings of the 12th Workshop on Workflows in Support of Large-Scale Science, WORKS@SC 2017, Denver, CO, USA, November 12 - 17, 2017. ACM 2017, ISBN 978-1-4503-5129-4 [contents] - 2016
- [j27]Ilia Pietri
Mapping Virtual Machines onto Physical Machines in Cloud Computing: A Survey. ACM Comput. Surv. 49(3): 49:1-49:30 (2016) - [j26]Abdul R. Hummaida
Adaptation in cloud resource configuration: a survey. J. Cloud Comput. 5: 7 (2016) - [c82]Zeqian Meng, John M. Brooke, Rizos Sakellariou
Semantic accountable matchmaking for e-Science resource sharing. eScience 2016: 282-286 - [c81]Rizos Sakellariou
Experiences with Teaching a Second Year Distributed Computing Course. Euro-Par Workshops 2016: 28-37 - [c80]Mingze Ma, Rizos Sakellariou
Buffer Minimization for Rate-Optimal Scheduling of Synchronous Dataflow Graphs on Multicore Systems. ICA3PP 2016: 325-340 - [c79]Thiago A. L. Genez
A flexible scheduler for workflow ensembles. UCC 2016: 55-62 - 2015
- [j25]Weiwei Chen, Rafael Ferreira da Silva
Using imbalance metrics to optimize task clustering in scientific workflow executions. Future Gener. Comput. Syst. 46: 69-84 (2015) - [c78]Drazen Lucanin, Ilia Pietri
A Cloud Controller for Performance-Based Pricing. CLOUD 2015: 155-162 - [c77]Wei Zheng, Lu Tang, Rizos Sakellariou
A Priority-Based Scheduling Heuristic to Maximize Parallelism of Ready Tasks for DAG Applications. CCGRID 2015: 596-605 - [c76]Ilia Pietri, Rizos Sakellariou
Cost-Efficient CPU Provisioning for Scientific Workflows on Clouds. GECON 2015: 49-64 - [c75]Kenneth O'Brien, Alexey L. Lastovetsky
Towards Application Energy Measurement and Modelling Tool Support. PaCT 2015: 91-101 - [c74]Thiago A. L. Genez
A Particle Swarm Optimization Approach for Workflow Scheduling on Cloud Resources Priced by CPU Frequency. UCC 2015: 237-241 - [c73]David Shepherd, Ilia Pietri
Workflow Scheduling on Power Constrained VMs. UCC 2015: 420-421 - 2014
- [c72]Ilia Pietri
Energy-Aware Workflow Scheduling Using Frequency Scaling. ICPP Workshops 2014: 104-113 - [c71]Ilia Pietri
A performance model to estimate execution time of scientific workflows on the cloud. WORKS@SC 2014: 11-19 - [c70]Ilia Pietri
Cost-Efficient Provisioning of Cloud Resources Priced by CPU Frequency. UCC 2014: 483-484 - [c69]Javier Celaya, Rizos Sakellariou
An Adaptive Policy to Minimize Energy and SLA Violations of Parallel Jobs on the Cloud. UCC 2014: 507-508 - 2013
- [j24]Michael Maurer, Ivona Brandic
Adaptive resource configuration for Cloud infrastructure management. Future Gener. Comput. Syst. 29(2): 472-487 (2013) - [j23]Wei Zheng, Rizos Sakellariou
Budget-Deadline Constrained Workflow Planning for Admission Control. J. Grid Comput. 11(4): 633-651 (2013) - [j22]Wei Zheng, Rizos Sakellariou
Stochastic DAG scheduling using a Monte Carlo approach. J. Parallel Distributed Comput. 73(12): 1673-1689 (2013) - [c68]Ilia Pietri
Energy-Constrained Provisioning for Scientific Workflow Ensembles. CGC 2013: 34-41 - [c67]Weiwei Chen, Rafael Ferreira da Silva
Balanced Task Clustering in Scientific Workflows. e-Science 2013: 188-195 - [c66]Weiwei Chen, Ewa Deelman, Rizos Sakellariou
Imbalance optimization in scientific workflows. ICS 2013: 461-462 - 2012
- [c65]Michael Maurer, Ivona Brandic
Self-Adaptive and Resource-Efficient SLA Enactment for Cloud Computing Infrastructures. IEEE CLOUD 2012: 368-375 - [c64]Sergei Gorlatch, Rizos Sakellariou
Topic 9: Parallel and Distributed Programming. Euro-Par 2012: 464 - [c63]Wei Zheng, Rizos Sakellariou
A Monte-Carlo Approach for Full-Ahead Stochastic DAG Scheduling. IPDPS Workshops 2012: 99-112 - [c62]Luiz Fernando Bittencourt
Using relative costs in workflow scheduling to cope with input data uncertainty. MGC@Middleware 2012: 8 - 2011
- [j21]Kevin Lee
Utility functions for adaptively executing concurrent workflows. Concurr. Comput. Pract. Exp. 23(6): 646-666 (2011) - [c61]Leonel Sousa
Introduction. Euro-Par (1) 2011: 154 - [c60]Michael Maurer, Ivona Brandic
Enacting SLAs in Clouds Using Rules. Euro-Par (1) 2011: 455-466 - [c59]Laurence Field, Rizos Sakellariou
Benchmarking Grid Information Systems. Euro-Par (1) 2011: 479-490 - [c58]Wei Zheng, Rizos Sakellariou
Budget-Deadline Constrained Workflow Planning for Admission Control in Market-Oriented Environments. GECON 2011: 105-119 - 2010
- [c57]Miquel Moretó
Load balancing using dynamic cache allocation. Conf. Computing Frontiers 2010: 153-164 - [c56]Rizos Sakellariou
Parallel and Distributed Data Management. Euro-Par (1) 2010: 316 - [c55]Laurence Field, Rizos Sakellariou
How dynamic is the Grid? Towards a quality metric for Grid information systems. GRID 2010: 113-120 - [c54]Luiz F. Bittencourt
DAG Scheduling Using a Lookahead Variant of the Heterogeneous Earliest Finish Time Algorithm. PDP 2010: 27-34 - [c53]Michael Maurer, Ivona Brandic
Simulating Autonomic SLA Enactment in Clouds Using Case Based Reasoning. ServiceWave 2010: 25-36
2000 – 2009
- 2009
- [j20]Kevin Lee
Adaptive workflow processing and execution in Pegasus. Concurr. Comput. Pract. Exp. 21(16): 1965-1981 (2009) - [j19]Norman W. Paton, Marcelo A. T. Aragão, Kevin Lee, Alvaro A. A. Fernandes, Rizos Sakellariou:
Optimizing Utility in Cloud Computing through Autonomic Workload Execution. IEEE Data Eng. Bull. 32(1): 51-58 (2009) - [j18]Anastasios Gounaris, Jim Smith, Norman W. Paton
Adaptive workload allocation in query processing in autonomous heterogeneous environments. Distributed Parallel Databases 25(3): 125-164 (2009) - [j17]Steven J. Lynden
The design and implementation of OGSA-DQP: A service-based distributed query processor. Future Gener. Comput. Syst. 25(3): 224-236 (2009) - [j16]Carmela Comito
A service-oriented system for distributed data querying and integration on Grids. Future Gener. Comput. Syst. 25(5): 511-524 (2009) - [j15]Miquel Moretó
FlexDCP: a QoS framework for CMP architectures. ACM SIGOPS Oper. Syst. Rev. 43(2): 86-96 (2009) - [c52]Kevin Lee
Utility Driven Adaptive Work?ow Execution. CCGRID 2009: 220-227 - [c51]Rizos Sakellariou
Mapping Workflows on Grid Resources: Experiments with the Montage Workflow. CoreGRID@Euro-Par 2009: 119-132 - 2008
- [j14]Serafeim Zanikolas, Rizos Sakellariou
An Importance-Aware Architecture for Large-Scale Grid Information Services. Parallel Process. Lett. 18(3): 347-370 (2008) - [j13]Anastasios Gounaris, Christos A. Yfoulis
A control theoretical approach to self-optimizing block transfer in Web service grids. ACM Trans. Auton. Adapt. Syst. 3(2): 6:1-6:30 (2008) - [c50]Louis-Claude Canon, Emmanuel Jeannot, Rizos Sakellariou, Wei Zheng:
Comparative Evaluation Of The Robustness Of DAG Scheduling Heuristics. CoreGRID Integration Workshop 2008: 73-84 - [c49]Kevin Lee
Adaptive Workflow Processing and Execution in Pegasus. GPC Workshops 2008: 99-106 - [c48]Anastasios Gounaris, Christos A. Yfoulis
Robust Runtime Optimization of Data Transfer in Queries over Web Services. ICDE 2008: 596-605 - 2007
- [j12]Viktor Yarmolenko, Rizos Sakellariou
Towards increased expressiveness in service level agreements. Concurr. Comput. Pract. Exp. 19(14): 1975-1990 (2007) - [j11]Gurmeet Singh, Karan Vahi, Arun Ramakrishnan, Gaurang Mehta, Ewa Deelman, Henan Zhao, Rizos Sakellariou
Optimizing workflow data footprint. Sci. Program. 15(4): 249-268 (2007) - [c47]Arun Ramakrishnan, Gurmeet Singh, Henan Zhao, Ewa Deelman, Rizos Sakellariou
Scheduling Data-IntensiveWorkflows onto Storage-Constrained Distributed Resources. CCGRID 2007: 401-409 - [c46]Anastasios Gounaris, Carmela Comito
A Service-Oriented System to Support Data Integration on Data Grids. CCGRID 2007: 627-635 - [c45]Kevin Lee
Workflow adaptation as an autonomic computing problem. WORKS@HPDC 2007: 29-34 - [c44]Francisco J. Cazorla
On the Problem of Minimizing Workload Execution Time in SMT Processors. ICSAMOS 2007: 66-73 - [c43]Anastasios Gounaris, Christos A. Yfoulis
Self-optimizing block transfer in web service grids. WIDM 2007: 49-56 - 2006
- [j10]Anastasios Gounaris, Rizos Sakellariou
A novel approach to resource scheduling for parallel query processing on computational grids. Distributed Parallel Databases 19(2-3): 87-106 (2006) - [j9]Francisco J. Cazorla
Predictable Performance in SMT Processors: Synergy between the OS and SMTs. IEEE Trans. Computers 55(7): 785-799 (2006) - [c42]Wei Xing, Marios D. Dikaiakos, Rizos Sakellariou
A Core Grid Ontology for the Semantic Grid. CCGRID 2006: 178-184 - [c41]Wei Xing, Marios D. Dikaiakos, Rizos Sakellariou:
Towards a Grid Information Knowledge Base. Euro-Par Workshops 2006: 186-190 - [c40]Rizos Sakellariou, Viktor Yarmolenko:
Job Scheduling on the Grid: Towards SLA-Based Scheduling. High Performance Computing Workshop 2006: 207-222 - [c39]Anastasios Gounaris, Norman W. Paton, Rizos Sakellariou, Alvaro A. A. Fernandes, Jim Smith, Paul Watson:
Modular Adaptive Query Processing for Service-Based Grids. ICAC 2006: 295-296 - [c38]Anastasios Gounaris, Norman W. Paton
Practical Adaptation to Changing Resources in Grid Query Processing. ICDE 2006: 165 - [c37]Viktor Yarmolenko, Rizos Sakellariou
An evaluation of heuristics for SLA based parallel job scheduling. IPDPS 2006 - [c36]Henan Zhao, Rizos Sakellariou
Scheduling multiple DAGs onto heterogeneous systems. IPDPS 2006 - [c35]Henan Zhao, Rizos Sakellariou:
Advance Reservation Policies for Workflows. JSSPP 2006: 47-67 - 2005
- [j8]Serafeim Zanikolas, Rizos Sakellariou
A taxonomy of grid monitoring systems. Future Gener. Comput. Syst. 21(1): 163-188 (2005) - [c34]Francisco J. Cazorla, Peter M. W. Knijnenburg, Rizos Sakellariou, Enrique Fernández, Alex Ramírez, Mateo Valero:
Architectural support for real-time task scheduling in SMT processors. CASES 2005: 166-176 - [c33]Serafeim Zanikolas, Rizos Sakellariou
Application-level simulation modelling of large grids. CCGRID 2005: 582-589 - [c32]Anastasios Gounaris, Rizos Sakellariou, Carmela Comito, Domenico Talia:
Service Choreography for Data Integration on the Grid. Knowledge and Data Management in GRIDs 2005: 19-33 - [c31]Anastasios Gounaris, Jim Smith, Norman W. Paton, Rizos Sakellariou, Alvaro A. A. Fernandes, Paul Watson:
Adapting to Changing Resource Performance in Grid Query Processing. DMG 2005: 30-44 - [c30]Djamila Ouelhadj, Jonathan M. Garibaldi, Jon MacLaren, Rizos Sakellariou, K. Krishnakumar:
A Multi-agent Infrastructure and a Service Level Agreement Negotiation Protocol for Robust Scheduling in Grid Computing. EGC 2005: 651-660 - [c29]Rizos Sakellariou
On the flexibility of WS-agreement for job submission. MGC@Middleware 2005: 4:1-4:6 - 2004
- [j7]Anastasios Gounaris, Norman W. Paton
Self-monitoring query execution for adaptive query processing. Data Knowl. Eng. 51(3): 325-348 (2004) - [j6]Francisco J. Cazorla
QoS for High-Performance SMT Processors in Embedded Systems. IEEE Micro 24(4): 24-31 (2004) - [j5]Rizos Sakellariou
A low-cost rescheduling policy for efficient mapping of workflows on grid systems. Sci. Program. 12(4): 253-262 (2004) - [c28]Francisco J. Cazorla, Peter M. W. Knijnenburg, Rizos Sakellariou, Enrique Fernández, Alex Ramírez, Mateo Valero:
Predictable performance in SMT processors. Conf. Computing Frontiers 2004: 433-443 - [c27]Anastasios Gounaris, Norman W. Paton, Rizos Sakellariou, Alvaro A. A. Fernandes:
Adaptive Query Processing and the Grid: Opportunities and Challenges. DEXA Workshops 2004: 506-510 - [c26]Francisco J. Cazorla
Implicit vs. Explicit Resource Allocation in SMT Processors. DSD 2004: 44-51 - [c25]Henan Zhao, Rizos Sakellariou:
A Low-Cost Rescheduling Policy for Dependent Tasks on Grid Computing Systems. European Across Grids Conference 2004: 21-31 - [c24]Serafeim Zanikolas, Rizos Sakellariou:
Towards a Monitoring Framework for Worldwide Grid Information Services. Euro-Par 2004: 417-422 - [c23]Francisco J. Cazorla, Peter M. W. Knijnenburg, Rizos Sakellariou, Enrique Fernández, Alex Ramírez, Mateo Valero:
Feasibility of QoS for SMT. Euro-Par 2004: 535-540 - [c22]Francisco J. Cazorla, Peter M. W. Knijnenburg, Rizos Sakellariou, Enrique Fernández, Alex Ramírez, Mateo Valero:
Enabling SMT for real-time embedded systems. EUSIPCO 2004: 1341-1344 - [c21]Anastasios Gounaris, Rizos Sakellariou
Resource Scheduling for Parallel Query Processing on Computational Grids. GRID 2004: 396-401 - [c20]Rizos Sakellariou
A Hybrid Heuristic for DAG Scheduling on Heterogeneous Systems. IPDPS 2004 - [c19]Mahmut Nedim Alpdemir
Using OGSA-DQP to Support Scientific Applications for the Grid. SAG 2004: 13-24 - 2003
- [j4]Jim Smith, Paul Watson, Anastasios Gounaris, Norman W. Paton
Distributed Query Processing on the Grid. Int. J. High Perform. Comput. Appl. 17(4): 353-367 (2003) - [c18]Marios D. Dikaiakos, Yannis E. Ioannidis, Rizos Sakellariou:
Search Engines for the Grid: A Research Agenda. European Across Grids Conference 2003: 49-58 - [c17]Henan Zhao, Rizos Sakellariou
An Experimental Investigation into the Rank Function of the Heterogeneous Earliest Finish Time Scheduling Algorithm. Euro-Par 2003: 189-194 - 2002
- [j3]Vikram S. Adve, Rajive L. Bagrodia, Ewa Deelman, Rizos Sakellariou
Compiler-Optimized Simulation of Large-Scale Applications on High Performance Architectures. J. Parallel Distributed Comput. 62(3): 393-426 (2002) - [c16]Anastasios Gounaris, Norman W. Paton, Alvaro A. A. Fernandes, Rizos Sakellariou:
Adaptive Query Processing: A Survey. BNCOD 2002: 11-25 - [c15]Jim Smith, Anastasios Gounaris, Paul Watson, Norman W. Paton, Alvaro A. A. Fernandes, Rizos Sakellariou:
Distributed Query Processing on the Grid. GRID 2002: 279-290 - 2001
- [c14]Eduard Ayguadé, Fredrik Dahlgren, Christine Eisenbeis, Roger Espasa, Guang R. Gao, Henk L. Muller, Rizos Sakellariou, André Seznec:
Topic 08+13: Instruction-Level Parallelism and Computer Architecture. Euro-Par 2001: 385 - [c13]Ewa Deelman, Rajive L. Bagrodia, Rizos Sakellariou, Vikram S. Adve:
Improving lookahead in parallel discrete event simulations of large-scale applications using compiler analysis. Workshop on Parallel and Distributed Simulation 2001: 5-13 - [e1]Rizos Sakellariou, John A. Keane, John R. Gurd, Len Freeman:
Euro-Par 2001: Parallel Processing, 7th International Euro-Par Conference Manchester, UK August 28-31, 2001, Proceedings. Lecture Notes in Computer Science 2150, Springer 2001, ISBN 3-540-42495-4 [contents] - 2000
- [j2]Vikram S. Adve, Rizos Sakellariou
Application Representations for Multiparadigm Performance Modeling of Large-Scale Parallel Scientific Codes. Int. J. High Perform. Comput. Appl. 14(4): 304-316 (2000) - [j1]Vikram S. Adve, Rajive L. Bagrodia, James C. Browne, Ewa Deelman, Aditya Dube, Elias N. Houstis, John R. Rice, Rizos Sakellariou
POEMS: End-to-End Performance Design of Large Parallel Adaptive Computational Systems. IEEE Trans. Software Eng. 26(11): 1027-1048 (2000) - [c12]Vikram S. Adve, Rizos Sakellariou
Compiler Synthesis of Task Graphs for Parallel Program Performance Prediction. LCPC 2000: 208-226
1990 – 1999
- 1999
- [c11]Vikram S. Adve, Rajive L. Bagrodia, Ewa Deelman, Thomas Phan, Rizos Sakellariou
Compiler-Supported Simulation of Highly Scalable Parallel Applications. SC 1999: 1 - 1998
- [c10]Susan Flynn Hummel, Graham D. Riley, Rizos Sakellariou:
Scheduling and Load Balancing. Euro-Par 1998: 297-298 - [c9]Michel Barreteau, François Bodin, Peter Brinkhaus, Zbigniew Chamski, Henri-Pierre Charles
OCEANS: Optimising Compilers for Embedded Applications. Euro-Par 1998: 1123-1130 - [c8]Rizos Sakellariou, Christine Eisenbeis, Peter M. W. Knijnenburg:
Efficient implementation of the row-column 8×8 IDCT on VLIW architectures. EUSIPCO 1998: 1-4 - [c7]Rizos Sakellariou:
Solving Diophantine Equations on a Network of Workstations. HPCN Europe 1998: 896-897 - [c6]Arnaud Laffitte, Rizos Sakellariou, John R. Gurd:
Evaluation of Two Compiler-Based Approaches for the Parallelisation of an MPEG-2 Decoder. HPCN Europe 1998: 975-977 - 1997
- [c5]Bas Aarts, Michel Barreteau, François Bodin, Peter Brinkhaus, Zbigniew Chamski, Henri-Pierre Charles
OCEANS: Optimizing Compilers for Embedded Applications. Euro-Par 1997: 1351-1356 - [c4]Rizos Sakellariou
Compile-Time Minimisation of Load Imbalance in Loop Nests. International Conference on Supercomputing 1997: 277-284 - [c3]Rizos Sakellariou:
A Compile-Time Partitioning Strategy for Non-Rectangular Loop Nests. IPPS 1997: 633-637 - [c2]Rizos Sakellariou:
Estimating the Parallel Start-Up Overhead for Parallelizing Compilers. PaCT 1997: 83-93 - [c1]Rizos Sakellariou:
Compile-Time Partitioning of Three-Dimensional Iteration Spaces. PP 1997
Coauthor Index
Luiz Fernando Bittencourt
aka: Luiz F. Bittencourt
aka: Luiz F. Bittencourt
Edmundo Roberto Mauro Madeira
aka: Edmundo R. M. Madeira
aka: Edmundo R. M. Madeira
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