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2020 – today
- 2022
[j33]Muhammad Usman Yaseen
, Ashiq Anjum, Giancarlo Fortino, Antonio Liotta, Amir Hussain:
Cloud based scalable object recognition from video streams using orientation fusion and convolutional neural networks. Pattern Recognit. 121: 108207 (2022)- [j32]Priyanthi M. Dassanayake, Ashiq Anjum, Ali Kashif Bashir, Joseph Bacon, Rabia Saleem, Warren Manning:
A Deep Learning Based Explainable Control System for Reconfigurable Networks of Edge Devices. IEEE Trans. Netw. Sci. Eng. 9(1): 7-19 (2022) - 2021
- [j31]Jianan Li, Jun Wu, Jianhua Li, Ali Kashif Bashir, Md. Jalil Piran, Ashiq Anjum:
Blockchain-Based Trust Edge Knowledge Inference of Multi-Robot Systems for Collaborative Tasks. IEEE Commun. Mag. 59(7): 94-100 (2021) - [j30]Laura Erhan, Mario Di Mauro, Ashiq Anjum, Ovidiu Bagdasar, Wei Song, Antonio Liotta:
Embedded Data Imputation for Environmental Intelligent Sensing: A Case Study. Sensors 21(23): 7774 (2021) - [c52]Ilyas Ashkir, Ben Roullier, Frank McQuade, Ashiq Anjum:
3D object recognition for Virtual Reality based Digital Twins. BDCAT 2021: 9-17 - [c51]Azam Khan, Ashiq Anjum:
Blockchain-based distributed platform for accountable medical data sharing. UCC Companion 2021: 36:1-36:8 - [i27]Jiayan Gu, Yan Wu, Ashiq Anjum, John Panneerselvam, Yao Lu, Bo Yuan:
Optimization of Service Addition in Multilevel Index Model for Edge Computing. CoRR abs/2106.04494 (2021) - [i26]Claire Palmer, Ben Roullier, Muhammad Aamir, Leonardo Stella, Uchenna Diala, Ashiq Anjum, Frank McQuade, Keith Cox, Alex Calvert:
Virtual Reality based Digital Twin System for remote laboratories and online practical learning. CoRR abs/2106.09344 (2021) - [i25]Muhammad Usman Yaseen, Ashiq Anjum, Giancarlo Fortino, Antonio Liotta, Amir Hussain:
Cloud based Scalable Object Recognition from Video Streams using Orientation Fusion and Convolutional Neural Networks. CoRR abs/2106.15329 (2021) - [i24]Claire Palmer, Ben Roullier, Muhammed Aamir, Frank McQuade, Leonardo Stella, Ashiq Anjum:
Digital Twinning Remote Laboratories for Online Practical Learning. CoRR abs/2112.00649 (2021) - 2020
- [j29]Xiaozhu Liu, Rongbo Zhu, Ashiq Anjum, Jun Wang, Hao Zhang, Maode Ma:
Intelligent data fusion algorithm based on hybrid delay-aware adaptive clustering in wireless sensor networks. Future Gener. Comput. Syst. 104: 1-14 (2020) - [j28]Yanhong Li, Rongbo Zhu, Shiwen Mao, Ashiq Anjum:
Fog-Computing-Based Approximate Spatial Keyword Queries With Numeric Attributes in IoV. IEEE Internet Things J. 7(5): 4304-4316 (2020) - [j27]Ali Reza Zamani, Mengsong Zou, Javier Diaz Montes, Ioan Petri, Omer F. Rana, Ashiq Anjum, Manish Parashar:
Deadline Constrained Video Analysis via In-Transit Computational Environments. IEEE Trans. Serv. Comput. 13(1): 59-72 (2020) - [c50]Muhammad Sadiq Hassan Zada, Bo Yuan, Ashiq Anjum, Muhammad Ajmal Azad, Wajahat Ali Khan, Stephan Reiff-Marganiec:
Large-scale Data Integration Using Graph Probabilistic Dependencies (GPDs). BDCAT 2020: 27-36 - [c49]Maryleen U. Ndubuaku, Muhammad K. Ali, Ashiq Anjum, Antonio Liotta, Stephan Reiff-Marganiec:
Edge-enhanced analytics via latent space dimensionality reduction. BDCAT 2020: 87-95 - [c48]Rabia Saleem, Bo Yuan, Fatih Kurugollu, Ashiq Anjum:
Explaining probabilistic Artificial Intelligence (AI) models by discretizing Deep Neural Networks. UCC 2020: 446-448 - [i23]Moeez M. Subhani, Ashiq Anjum:
Multiclass Disease Predictions Based on Integrated Clinical and Genomics Datasets. CoRR abs/2006.07879 (2020)
2010 – 2019
- 2019
- [j26]Bo Li, Sisi Zhou, Lifang Cheng, Rongbo Zhu, Tao Hu, Ashiq Anjum, Zheng He, Yongkai Zou:
A Cascade Learning Approach for Automated Detection of Locomotive Speed Sensor Using Imbalanced Data in ITS. IEEE Access 7: 90851-90862 (2019) - [j25]Yanhong Li, Meng Wang, Rongbo Zhu, Ashiq Anjum, Xiaokun Du, Yuhe Feng, Changyin Luo, Shasha Tian:
Intelligent augmented keyword search on spatial entities in real-life internet of vehicles. Future Gener. Comput. Syst. 94: 697-711 (2019) - [j24]Xiaokun Du, Rongbo Zhu, Yanhong Li, Ashiq Anjum:
Language model-based automatic prefix abbreviation expansion method for biomedical big data analysis. Future Gener. Comput. Syst. 98: 238-251 (2019) - [j23]Jun Wang, Jing Luo, Xiaozhu Liu, Yongkai Li, Shubo Liu, Rongbo Zhu, Ashiq Anjum:
Improved Kalman filter based differentially private streaming data release in cognitive computing. Future Gener. Comput. Syst. 98: 541-549 (2019) - [j22]Muhammad Usman Yaseen, Ashiq Anjum, Mohsen M. Farid, Nick Antonopoulos:
Cloud-based video analytics using convolutional neural networks. Softw. Pract. Exp. 49(4): 565-583 (2019) - [j21]Ashiq Anjum, Tariq Abdullah, M. Fahim Tariq, Yusuf Baltaci, Nick Antonopoulos:
Video Stream Analysis in Clouds: An Object Detection and Classification Framework for High Performance Video Analytics. IEEE Trans. Cloud Comput. 7(4): 1152-1167 (2019) - [j20]Muhammad Usman Yaseen, Ashiq Anjum, Omer F. Rana, Nikolaos Antonopoulos:
Deep Learning Hyper-Parameter Optimization for Video Analytics in Clouds. IEEE Trans. Syst. Man Cybern. Syst. 49(1): 253-264 (2019) - [c47]Priyanthi M. Dassanayake, Ashiq Anjum, Warren Manning, Craig Bower:
A Deep Reinforcement Learning based Homeostatic System for Unmanned Position Control. BDCAT 2019: 127-136 - [c46]Zeeshan Ali Shah, Ashiq Anjum, Mohamed Abouelhoda:
Modelling Genomics Datasets to Optimize Its Usage Patterns for Efficient Analytics. ICAAI 2019: 135-140 - [c45]Bo Yuan, Ashiq Anjum, John Panneerselvam, Lu Liu:
Exploring Network Embedding for Efficient Message Routing in Opportunistic Mobile Social Networks. ICDM Workshops 2019: 497-504 - [c44]Maryleen U. Ndubuaku, Ashiq Anjum, Antonio Liotta:
Unsupervised Anomaly Thresholding from Reconstruction Errors. IDCS 2019: 123-129 - [c43]Maryleen U. Ndubuaku, Ashiq Anjum, Antonio Liotta:
Cloud-assisted Adaptive Stream Processing from Discriminative Representations. SMC 2019: 164-169 - [c42]Sronglong Chhem, Ashiq Anjum, Bilal Arshad:
Intelligent Price Alert System for Digital Assets - Cryptocurrencies. UCC Companion 2019: 109-115 - [c41]Bilal Arshad, Ashiq Anjum:
High Performance Dynamic Graph Model for Consistent Data Integration. UCC 2019: 263-272 - [c40]Sanna Aizad, Ashiq Anjum:
Graph Data Modelling for Genomic Variants. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 1577-1584 - [e7]Kenneth Johnson, Josef Spillner, Dalibor Klusácek, Ashiq Anjum:
Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2019, Auckland, New Zealand, December 2-5, 2019. ACM 2019, ISBN 978-1-4503-6894-0 [contents] - [e6]Kenneth Johnson, Josef Spillner, Dalibor Klusácek, Ashiq Anjum:
Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2019, Companion Volume, Auckland, New Zealand, December 2-5, 2019. ACM 2019, ISBN 978-1-4503-7044-8 [contents] - 2018
- [j19]Muhammad Usman Yaseen, Ashiq Anjum, Omer F. Rana, Richard Hill:
Cloud-based scalable object detection and classification in video streams. Future Gener. Comput. Syst. 80: 286-298 (2018) - [j18]Stelios Sotiriadis, Nik Bessis, Ashiq Anjum, Rajkumar Buyya:
An Inter-Cloud Meta-Scheduling (ICMS) Simulation Framework: Architecture and Evaluation. IEEE Trans. Serv. Comput. 11(1): 5-19 (2018) - [c39]Danielle Turvill, Lee Barnby, Ashiq Anjum:
A Conceptual Framework for the Use of Graph Representation Within High Energy Physics Analysis. CCGrid 2018: 384-385 - [c38]Omer F. Rana, Manjerhussain Shaikh, Muhammad K. Ali, Ashiq Anjum, Luiz F. Bittencourt:
Vertical Workflows: Service Orchestration across Cloud & Edge Resources. FiCloud 2018: 355-362 - [c37]Muhammad K. Ali, Ashiq Anjum, Muhammad Usman Yaseen, Ali Reza Zamani, Daniel Balouek-Thomert, Omer F. Rana, Manish Parashar:
Edge Enhanced Deep Learning System for Large-Scale Video Stream Analytics. ICFEC 2018: 1-10 - [c36]Zeeshan Ali Shah, Mohamed El-Kalioby, Tariq Faquih, Moustafa Shokrof, Shazia Subhani, Yasser Alnakhli, Hussain Aljafar, Ashiq Anjum, Mohamed Abouelhoda:
Exploiting In-memory Systems for Genomic Data Analysis. IWBBIO (1) 2018: 405-414 - 2017
- [j17]Ashiq Anjum, Manu Sporny, Alan Sill:
Blockchain Standards for Compliance and Trust. IEEE Cloud Comput. 4(4): 84-90 (2017) - [c35]Muhammad Usman Yaseen, Ashiq Anjum, Nick Antonopoulos:
Modeling and Analysis of a Deep Learning Pipeline for Cloud based Video Analytics. BDCAT 2017: 121-130 - [c34]Sanna Aizad, Ashiq Anjum, Rizos Sakellariou:
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 - [c33]Richard Hill, James Devitt, Ashiq Anjum, Muhammad K. Ali:
Towards In-Transit Analytics for Industry 4.0. iThings/GreenCom/CPSCom/SmartData 2017: 810-817 - [p2]Ashiq Anjum, Sanna Aizad, Bilal Arshad, Moeez M. Subhani, Dominic Davies-Tagg, Tariq Abdullah, Nikolaos Antonopoulos:
Big Data Analytics in Healthcare: A Cloud-Based Framework for Generating Insights. Cloud Computing, 2nd Ed. 2017: 153-170 - [e5]Ashiq Anjum, Alan Sill, Xinghui Zhao, Mohsen M. Farid, Shrideep Pallickara, Jiannong Cao:
Proceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2017, Austin, TX, USA, December 05 - 08, 2017. ACM 2017, ISBN 978-1-4503-5549-0 [contents] - [e4]Ashiq Anjum, Alan Sill, Geoffrey C. Fox, Yong Chen:
Proceedings of the 10th International Conference on Utility and Cloud Computing, UCC 2017, Austin, TX, USA, December 5-8, 2017. ACM 2017, ISBN 978-1-4503-5149-2 [contents] - [e3]Ashiq Anjum, Alan Sill, Geoffrey C. Fox, Yong Chen:
Companion Proceedings of the 10th International Conference on Utility and Cloud Computing, UCC 2017, Austin, TX, USA, December 5-8, 2017. ACM 2017, ISBN 978-1-4503-5195-9 [contents] - [i22]Richard Hill, James Devitt, Ashiq Anjum, Muhammad K. Ali:
Towards In-Transit Analytics for Industry 4.0. CoRR abs/1710.04121 (2017) - 2016
- [c32]Muhammad Usman Yaseen, Ashiq Anjum, Nick Antonopoulos:
Spatial frequency based video stream analysis for object classification and recognition in clouds. BDCAT 2016: 18-26 - [c31]Muhammad Usman Yaseen, Muhammad Sarim Zafar, Ashiq Anjum, Richard Hill:
High Performance Video Processing in Cloud Data Centres. SOSE 2016: 152-161 - [c30]Moeez M. Subhani, Ashiq Anjum, Andreas Koop, Nick Antonopoulos:
Clinical and genomics data integration using meta-dimensional approach. UCC 2016: 416-421 - [e2]Ashiq Anjum, Xinghui Zhao:
Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2016, Shanghai, China, December 6-9, 2016. ACM 2016, ISBN 978-1-4503-4617-7 [contents] - 2015
- [j16]Ahsan Ikram, Ashiq Anjum, Richard Hill, Nick Antonopoulos, Lu Liu, Stelios Sotiriadis:
Approaching the Internet of things (IoT): a modelling, analysis and abstraction framework. Concurr. Comput. Pract. Exp. 27(8): 1966-1984 (2015) - [j15]Zaheer Abbas Khan, Ashiq Anjum, Kamran Soomro, Muhammad Atif Tahir:
Towards cloud based big data analytics for smart future cities. J. Cloud Comput. 4: 2 (2015) - [j14]Ahsan Ikram, Ashiq Anjum, Nik Bessis:
A cloud resource management model for the creation and orchestration of social communities. Simul. Model. Pract. Theory 50: 130-150 (2015) - [p1]Dominic Davies-Tagg, Ashiq Anjum, Richard Hill:
A Platform for Analytics on Social Networks Derived from Organisational Calendar Data. Big-Data Analytics and Cloud Computing 2015: 147-165 - [e1]Marcello Trovati, Richard Hill, Ashiq Anjum, Shao Ying Zhu, Lu Liu:
Big-Data Analytics and Cloud Computing - Theory, Algorithms and Applications. Springer 2015, ISBN 978-3-319-25311-4 [contents] - 2014
- [j13]Saad Liaquat Kiani, Ashiq Anjum, Nick Antonopoulos, Michael Knappmeyer:
Context-aware service utilisation in the clouds and energy conservation. J. Ambient Intell. Humaniz. Comput. 5(1): 111-131 (2014) - [c29]Tariq Abdullah, Ashiq Anjum, M. Fahim Tariq, Yusuf Baltaci, Nikos Antonopoulos:
Traffic Monitoring Using Video Analytics in Clouds. UCC 2014: 39-48 - [c28]Adnan Noor Mian, Ali Mamoon, Raees Khan, Ashiq Anjum:
Effects of Virtualization on Network and Processor Performance Using Open vSwitch and Xen Server. UCC 2014: 762-767 - [i21]Richard McClatchey, Andrew Branson, Ashiq Anjum, Peter Bloodsworth, Irfan Habib, Kamran Munir, Jetendr Shamdasani, Kamran Soomro:
Providing Traceability for Neuroimaging Analyses. CoRR abs/1402.5749 (2014) - [i20]Ashiq Anjum, Peter Bloodsworth, Andrew Branson, Irfan Habib, Richard McClatchey, Tony Solomonides:
Research Traceability using Provenance Services for Biomedical Analysis. CoRR abs/1403.0230 (2014) - 2013
- [j12]Richard McClatchey, Andrew Branson, Ashiq Anjum, Peter Bloodsworth, Irfan Habib, Kamran Munir, Jetendr Shamdasani, Kamran Soomro:
Providing traceability for neuroimaging analyses. Int. J. Medical Informatics 82(9): 882-894 (2013) - [j11]Richard McClatchey, Irfan Habib, Ashiq Anjum, Kamran Munir, Andrew Branson, Peter Bloodsworth, Saad Liaquat Kiani:
Intelligent grid enabled services for neuroimaging analysis. Neurocomputing 122: 88-99 (2013) - [j10]Saad Liaquat Kiani, Ashiq Anjum, Michael Knappmeyer, Nik Bessis, Nikolaos Antonopoulos:
Federated broker system for pervasive context provisioning. J. Syst. Softw. 86(4): 1107-1123 (2013) - [j9]Saad Liaquat Kiani, Ashiq Anjum, Nik Bessis, Richard Hill, Michael Knappmeyer:
Energy conservation in mobile devices and applications: A case for context parsing, processing and distribution in clouds. Mob. Inf. Syst. 9(1): 1-17 (2013) - [j8]Eike Steffen Reetz, Michael Knappmeyer, Saad Liaquat Kiani, Ashiq Anjum, Nik Bessis, Ralf Tönjes:
Performance simulation of a context provisioning middleware based on empirical measurements. Simul. Model. Pract. Theory 34: 208-220 (2013) - [j7]Irfan Habib, Ashiq Anjum, Richard McClatchey, Omer F. Rana:
Adapting scientific workflow structures using multi-objective optimization strategies. ACM Trans. Auton. Adapt. Syst. 8(1): 4:1-4:21 (2013) - [c27]Stelios Sotiriadis, Nik Bessis, Nick Antonopoulos, Ashiq Anjum:
SimIC: Designing a New Inter-cloud Simulation Platform for Integrating Large-Scale Resource Management. AINA 2013: 90-97 - [c26]Tariq Abdullah, Ashiq Anjum, Nik Bessis, Stelios Sotiriadis, Koen Bertels:
Nature Inspired Self Organization for Adhoc Grids. AINA 2013: 682-689 - [c25]Zaheer Abbas Khan, Ashiq Anjum, Saad Liaquat Kiani:
Cloud Based Big Data Analytics for Smart Future Cities. UCC 2013: 381-386 - 2012
- [j6]Ashiq Anjum, Richard Hill, Richard McClatchey, Nik Bessis, Andrew Branson:
Glueing grids and clouds together: a service-oriented approach. Int. J. Web Grid Serv. 8(3): 248-265 (2012) - [j5]Zaheer Abbas Khan, David Ludlow, Richard McClatchey, Ashiq Anjum:
An architecture for integrated intelligence in urban management using cloud computing. J. Cloud Comput. 1: 1 (2012) - [j4]Zhenxing Liu, Lu Liu, James Hardy, Ashiq Anjum, Richard Hill, Nick Antonopoulos:
Dot-base62x: building a compact and user-friendly text representation scheme of ipv6 addresses for cloud computing. J. Cloud Comput. 1: 3 (2012) - [j3]Saad Liaquat Kiani, Ashiq Anjum, Nick Antonopoulos, Kamran Munir, Richard McClatchey:
Context caches in the Clouds. J. Cloud Comput. 1: 7 (2012) - [j2]Nick Antonopoulos, Ashiq Anjum, Lee Gillam:
Intelligent techniques and architectures for autonomic clouds: introduction to the itaac special issue. J. Cloud Comput. 1: 18 (2012) - [c24]Saad Liaquat Kiani, Ashiq Anjum, Nik Bessis, Richard Hill:
Large-Scale Context Provisioning: A Use-Case for Homogenous Cloud Federation. CISIS 2012: 241-248 - [c23]Ashiq Anjum, Nik Bessis, Richard McClatchey, Kamran Munir, Irfan Habib, Andrew Branson, Jetendr Shamdasani:
A Service Oriented Analysis Environment for Neuroimaging Studies. IMIS 2012: 29-36 - [c22]Charlie Baker, Ashiq Anjum, Richard Hill, Nik Bessis, Saad Liaquat Kiani:
Improving Cloud Datacentre Scalability, Agility and Performance Using OpenFlow. INCoS 2012: 20-27 - [i19]Khawar Hasham, Antonio Delgado Peris, Ashiq Anjum, Dave Evans, Dirk Hufnagel, Eduardo Huedo, José M. Hernández, Richard McClatchey, Stephen Gowdy, Simon Metson:
CMS Workflow Execution using Intelligent Job Scheduling and Data Access Strategies. CoRR abs/1202.5480 (2012) - [i18]Zaheer Abbas Khan, David Ludlow, Richard McClatchey, Ashiq Anjum:
An Architecture for Integrated Intelligence in Urban Management using Cloud Computing. CoRR abs/1202.5483 (2012) - [i17]Asif Osman, Ashiq Anjum, Naheed Batool, Richard McClatchey:
A Fault Tolerant, Dynamic and Low Latency BDII Architecture for Grids. CoRR abs/1202.5512 (2012) - [i16]Ashiq Anjum, Peter Bloodsworth, Irfan Habib, Tom Lansdale, Richard McClatchey, Yasir Mehmood:
Reusable Services from the neuGRID Project for Grid-Based Health Applications. CoRR abs/1202.5516 (2012) - [i15]Ashiq Anjum, Peter Bloodsworth, Andrew Branson, Irfan Habib, Richard McClatchey, Tony Solomonides:
Research Traceability using Provenance Services for Biomedical Analysis. CoRR abs/1202.5517 (2012) - [i14]Saad Liaquat Kiani, Ashiq Anjum, Nick Antonopoulos, Michael Knappmeyer, Nigel Baker, Richard McClatchey:
Context-Aware Service Utilisation in the Clouds and Energy Conservation. CoRR abs/1202.5519 (2012) - 2011
- [c21]Ashiq Anjum, Nik Bessis, Richard Hill, Richard McClatchey, Irfan Habib, Kamran Soomro, Peter Bloodsworth, Andrew Branson:
Provenance Management for Neuroimaging Workflows in neuGrid. 3PGCIC 2011: 67-74 - [c20]Ashiq Anjum, Richard Hill, Richard McClatchey:
Gluing Grids and Clouds Together: A Service-Oriented Approach. EIDWT 2011: 55-62 - [c19]Saad Liaquat Kiani, Ashiq Anjum, Nik Bessis, Richard Hill, Michael Knappmeyer:
Context Parsing, Processing and Distribution in Clouds. INCoS 2011: 141-148 - [c18]Saad Liaquat Kiani, Ashiq Anjum, Kamran Munir, Richard McClatchey, Nick Antonopoulos:
Towards Context Caches in the Clouds. UCC 2011: 403-408 - [c17]Zaheer Abbas Khan, David Ludlow, Richard McClatchey, Ashiq Anjum:
An Architecture for Integrated Intelligence in Urban Management Using Cloud Computing. UCC 2011: 415-420 - [c16]Zhenxing Liu, Lu Liu, James Hardy, Ashiq Anjum, Richard Hill, Nick Antonopoulos:
Dot-base62x: A Compact Textual Representation of IPv6 Address for Clouds. UCC 2011: 427-432 - 2010
- [c15]Ashiq Anjum, Peter Bloodsworth, Andrew Branson, Irfan Habib, Richard McClatchey, Tony Solomonides, Kamran Soomro:
Research Traceability using Provenance Services for Biomedical Analysis. HealthGrid 2010: 88-99
2000 – 2009
- 2009
- [c14]Yasir Mehmood, Irfan Habib, Peter Bloodsworth, Ashiq Anjum, Tom Lansdale, Richard McClatchey:
A middleware agnostic infrastructure for neuro-imaging analysis. CBMS 2009: 1-4 - [c13]Ashiq Anjum, Peter Bloodsworth, Irfan Habib, Tom Lansdale, Richard McClatchey, Yasir Mehmood:
Reusable Services from the neuGRID Project for Grid-Based Health Applications. HealthGrid 2009: 283-288 - 2007
- [b1]Ashiq Anjum:
Data intensive and network aware (DIANA) grid scheduling. University of the West of England, Bristol, UK, 2007 - [j1]Richard McClatchey, Ashiq Anjum, Heinz Stockinger, Arshad Ali, Ian Willers, Michael Thomas:
Data Intensive and Network Aware (DIANA) Grid Scheduling. J. Grid Comput. 5(1): 43-64 (2007) - [c12]Ashiq Anjum, Peter Bloodsworth, Andrew Branson, Tamas Hauer, Richard McClatchey, Kamran Munir, Dmitri Rogulin, Jetendr Shamdasani:
The Requirements for Ontologies in Medical Data Integration: A Case Study. IDEAS 2007: 308-314 - [i13]Arshad Ali, Ashiq Anjum, Julian J. Bunn, Faisal Khan, Richard McClatchey, Harvey B. Newman, Conrad Steenberg, Michael Thomas, Ian Willers:
A Multi Interface Grid Discovery System. CoRR abs/0707.0740 (2007) - [i12]Arshad Ali, Ashiq Anjum, Tahir Azim, Julian J. Bunn, Ahsan Ikram, Richard McClatchey, Harvey B. Newman, Conrad Steenberg, Michael Thomas, Ian Willers:
Mobile Computing in Physics Analysis - An Indicator for eScience. CoRR abs/0707.0742 (2007) - [i11]Ashiq Anjum, Richard McClatchey, Heinz Stockinger, Arshad Ali, Ian Willers, Michael Thomas, Muhammad Sagheer, Khawar Hasham, Omer Alvi:
DIANA Scheduling Hierarchies for Optimizing Bulk Job Scheduling. CoRR abs/0707.0743 (2007) - [i10]Irfan Habib, Kamran Soomro, Ashiq Anjum, Richard McClatchey, Arshad Ali, Peter Bloodsworth:
PhantomOS: A Next Generation Grid Operating System. CoRR abs/0707.0762 (2007) - [i9]Ashiq Anjum, Peter Bloodsworth, Andrew Branson, Tamas Hauer, Richard McClatchey, Kamran Munir, Dmitri Rogulin, Jetendr Shamdasani:
The Requirements for Ontologies in Medical Data Integration: A Case Study. CoRR abs/0707.0763 (2007) - [i8]Richard McClatchey, Ashiq Anjum, Heinz Stockinger, Arshad Ali, Ian Willers, Michael Thomas:
Scheduling in Data Intensive and Network Aware (DIANA) Grid Environments. CoRR abs/0707.0862 (2007) - 2006
- [c11]Ashiq Anjum, Richard McClatchey, Heinz Stockinger, Arshad Ali, Ian Willers, Michael Thomas, Muhammad Sagheer, Khawar Hasham, Omer Alvi:
DIANA Scheduling Hierarchies for Optimizing Bulk Job Scheduling. e-Science 2006: 89 - [c10]Arshad Ali, Richard McClatchey, Ashiq Anjum, Irfan Habib, Kamran Soomro, Mohammed Asif, Ali Adil, Athar Mohsin:
From Grid Middleware to a Grid Operating System. GCC 2006: 9-16 - [c9]Arshad Ali, Ashiq Anjum, Julian J. Bunn, Faisal Khan, Richard McClatchey, Harvey B. Newman, Conrad Steenberg, Michael Thomas, Ian Willers:
A Multi Interface Grid Discovery System. GRID 2006: 307-308 - [i7]Ashiq Anjum, Richard McClatchey, Arshad Ali, Ian Willers:
Bulk Scheduling with DIANA Scheduler. CoRR abs/cs/0602026 (2006) - [i6]Arshad Ali, Richard McClatchey, Ashiq Anjum, Irfan Habib, Kamran Soomro, Mohammed Asif, Ali Adil, Athar Mohsin:
From Grid Middleware to a Grid Operating System. CoRR abs/cs/0608046 (2006) - [i5]Ashiq Anjum, Richard McClatchey, Arshad Ali, Ian Willers:
Bulk Scheduling with the DIANA Scheduler. CoRR abs/cs/0608048 (2006) - 2005
- [c8]Arshad Ali, Ashiq Anjum, Tahir Azim, Julian J. Bunn, Saima Iqbal, Richard McClatchey, Harvey B. Newman, S. Yousaf Shah, Tony Solomonides, Conrad Steenberg, Michael Thomas, Frank van Lingen, Ian Willers:
Heterogeneous Relational Databases for a Grid-Enabled Analysis Environment. ICPP Workshops 2005: 34-41 - [c7]Frank van Lingen, Conrad Steenberg, Michael Thomas, Ashiq Anjum, Tahir Azim, Faisal Khan, Harvey B. Newman, Arshad Ali, Julian J. Bunn, Iosif Legrand:
The Clarens Web Service Framework for Distributed Scientific Analysis in Grid Projects. ICPP Workshops 2005: 45-52 - [c6]