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Research Output 1992 2019

2019
Internet of things

Addressing data resiliency for staging based scientific workflows

Duan, S., Subedi, P., Davis, P. E. & Parashar, M., Nov 17 2019, Proceedings of SC 2019: The International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE Computer Society, a87. (International Conference for High Performance Computing, Networking, Storage and Analysis, SC).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Error detection
Data transfer
Program processors
Recovery

A General Performance and QoS Model for Distributed Software-Defined Environments

AbdelBaky, M. & Parashar, M., Jan 1 2019, (Accepted/In press) In : IEEE Transactions on Services Computing.

Research output: Contribution to journalArticle

Quality of service
Bioinformatics
Cloud computing
Cost reduction
Outages

An edge-based framework for enabling data-driven pipelines for IoT systems

Renart, E. G., Balouek-Thomert, D. & Parashar, M., May 1 2019, Proceedings - 2019 IEEE 33rd International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2019. Institute of Electrical and Electronics Engineers Inc., p. 885-894 10 p. 8778344. (Proceedings - 2019 IEEE 33rd International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Internet of Things
Data-driven
Pipelines
Pulsars
Architectural design
3 Citations (Scopus)

Data Cyber-Infrastructure for End-to-end Science: Experiences from the NSF Ocean Observatories Initiative

Rodero, I. & Parashar, M., Jan 1 2019, (Accepted/In press) In : Computing in Science and Engineering.

Research output: Contribution to journalArticle

Observatories
Architectural design
Sensors
Processing
1 Citation (Scopus)

Distributed operator placement for IoT data analytics across edge and cloud resources

Gibert Renart, E., Da Silva Veith, A., Balouek-Thomert, D., De Assuncao, M. D., Lefevre, L. & Parashar, M., May 2019, Proceedings - 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2019. Institute of Electrical and Electronics Engineers Inc., p. 459-468 10 p. 8752924. (Proceedings - 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Costs and Cost Analysis
Reaction Time
DEAE-Dextran
Internet
Costs

Editor's Note

Parashar, M., Jan 1 2019, In : IEEE Transactions on Parallel and Distributed Systems. 30, 1, 1 p., 8573098.

Research output: Contribution to journalEditorial

Editor's Note

Parashar, M., Aug 1 2019, In : IEEE Transactions on Parallel and Distributed Systems. 30, 8, p. 1687-1689 3 p., 8763866.

Research output: Contribution to journalEditorial

2 Citations (Scopus)

Ensemble-based network edge processing

Petri, I., Zamani, A. R., Balouek-Thomert, D., Rana, O., Rezgui, Y. & Parashar, M., Jan 4 2019, Proceedings - 11th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2018. Spillner, J. & Sill, A. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 133-142 10 p. 8603160. (Proceedings - 11th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Processing
Data privacy
Fisheries
Costs
Quality of service

Exploring Power Budget Scheduling Opportunities and Tradeoffs for AMR-Based Applications

Qin, Y., Rodero, I., Subedi, P., Parashar, M. & Rigo, S., Feb 20 2019, Proceedings - 2018 30th International Symposium on Computer Architecture and High Performance Computing, SBAC-PAD 2018. Institute of Electrical and Electronics Engineers Inc., p. 57-64 8 p. 8645941. (Proceedings - 2018 30th International Symposium on Computer Architecture and High Performance Computing, SBAC-PAD 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Scheduling
Power quality
Mach number
Degradation

FAS∗ 2018 Doctoral Symposium Foreword

Ghorbani, A., Valetto, G. P., Bucchiarone, A., Diaconescu, A., Frantz, C., Parashar, M., Schmerl, B. & Scholtes, I., Jan 2 2019, In : Proceedings - 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2018. p. X 8599152.

Research output: Contribution to journalEditorial

Leveraging Machine Learning for Anticipatory Data Delivery in Extreme Scale In-situ Workflows

Subedi, P., Davis, P. E. & Parashar, M., Sep 2019, Proceedings - 2019 IEEE International Conference on Cluster Computing, CLUSTER 2019. Institute of Electrical and Electronics Engineers Inc., 8891003. (Proceedings - IEEE International Conference on Cluster Computing, ICCC; vol. 2019-September).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning systems
Electronic data interchange
Response time (computer systems)
Data storage equipment
Scalability

Message from the Program Chairs

Badia, R., Parashar, M. & Schnorr, L. M., Feb 20 2019, In : Proceedings - 2018 30th International Symposium on Computer Architecture and High Performance Computing, SBAC-PAD 2018. p. XIV 8645864.

Research output: Contribution to journalEditorial

Message from the workshops co-chairs

Simonet, A. & Parashar, M., Feb 4 2019, In : Proceedings - 25th IEEE International Conference on High Performance Computing Workshops, HiPCW 2018. p. X-XI 8634050.

Research output: Contribution to journalEditorial

Optimizing performance and computing resource management of in-memory big data analytics with disaggregated persistent memory

Chen, S., Wang, W., Wu, X., Fan, Z., Huang, K., Zhuang, P., Li, Y., Rodero, I., Parashar, M. & Weng, D., May 2019, Proceedings - 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2019. Institute of Electrical and Electronics Engineers Inc., p. 21-30 10 p. 8752799. (Proceedings - 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Data storage equipment
Electric sparks
Computer Communication Networks
Computer systems
Costs and Cost Analysis
1 Citation (Scopus)

Runtime Management of Data Quality for Scientific Observatories Using Edge and In-Transit Resources

Zamani, A. R., Balouek-Thomert, D., Villalobos, J. J., Rodero, I. & Parashar, M., Feb 20 2019, Proceedings - 2018 30th International Symposium on Computer Architecture and High Performance Computing, SBAC-PAD 2018. Institute of Electrical and Electronics Engineers Inc., p. 274-281 8 p. 8645940. (Proceedings - 2018 30th International Symposium on Computer Architecture and High Performance Computing, SBAC-PAD 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Observatories
Engines
Feedback
Bandwidth
Sensors

Scaling Deep Learning for Cancer with Advanced Workflow Storage Integration

Wozniak, J. M., Davis, P. E., Shu, T., Ozik, J., Collier, N., Parashar, M., Foster, I., Brettin, T. & Stevens, R., Feb 8 2019, Proceedings of MLHPC 2018: Machine Learning in HPC Environments, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., p. 114-123 10 p. 8638629. (Proceedings of MLHPC 2018: Machine Learning in HPC Environments, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neural networks
Supercomputers
Learning systems
Deep learning
8 Citations (Scopus)

Stacker: An autonomic data movement engine for extreme-scale data staging-based in-situ workflows

Subedi, P., Davis, P., Duan, S., Klasky, S., Kolla, H. & Parashar, M., Mar 11 2019, Proceedings - International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2018. Institute of Electrical and Electronics Engineers Inc., p. 920-930 11 p. 8665795. (Proceedings - International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Work Flow
Extremes
Engine
Engines
Data storage equipment
1 Citation (Scopus)

Submarine: A subscription-based data streaming framework for integrating large facilities and advanced cyberinfrastructure

Zamani, A. R., AbdelBaky, M., Balouek-Thomert, D., Villalobos, J. J., Rodero, I. & Parashar, M., Jan 1 2019, In : Concurrency Computation. e5256.

Research output: Contribution to journalArticle

Streaming Data
Observatories
Integrate
Framework
Use Case

The Reproducibility Initiative

Parashar, M., Nov 2019, Computer, 52, 11, p. 7-8 2 p.

Research output: Contribution to specialist publicationArticle

1 Citation (Scopus)

The Virtual Data Collaboratory

Parashar, M., Honavar, V., Simonet, A., Rodero, I., Ghahramani, F., Agnew, G. & Jantz, R., Jan 1 2019, (Accepted/In press) In : Computing in Science and Engineering.

Research output: Contribution to journalArticle

Towards a computing continuum: Enabling edge-to-cloud integration for data-driven workflows

Balouek-Thomert, D., Renart, E. G., Zamani, A. R., Simonet, A. & Parashar, M., Nov 1 2019, In : International Journal of High Performance Computing Applications. 33, 6, p. 1159-1174 16 p.

Research output: Contribution to journalArticle

Data-driven
Work Flow
Continuum
Computing
Tsunamis

Towards a smart, internet-scale cache service for data intensive scientific applications

Qin, Y., Simonet, A., Davis, P. E., Nouri, A., Wang, Z., Parashar, M. & Rodero, I., Jun 17 2019, ScienceCloud 2019 - Proceedings of the 10th Workshop on Scientific Cloud Computing, co-located with HPDC 2019. Association for Computing Machinery, Inc, p. 11-18 8 p. (ScienceCloud 2019 - Proceedings of the 10th Workshop on Scientific Cloud Computing, co-located with HPDC 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Internet
Observatories
Quality of service

Towards comprehensive dependability-driven resource use and message log-analysis for HPC systems diagnosis

Chuah, E., Jhumka, A., Alt, S., Balouek-Thomert, D., Browne, J. C. & Parashar, M., Oct 2019, In : Journal of Parallel and Distributed Computing. 132, p. 95-112 18 p.

Research output: Contribution to journalArticle

Dependability
High Performance
Resources
Error Recovery
Computing

Translational Research in Computer Science

Abramson, D. & Parashar, M., Sep 1 2019, Computer, 52, 9, p. 16-23 8 p.

Research output: Contribution to specialist publicationArticle

Computer science
Bioelectric potentials
Medicine
2018
Internet of things
7 Citations (Scopus)

A computational model to support in-network data analysis in federated ecosystems

Zamani, A. R., Zou, M., Diaz-Montes, J., Petri, I., Rana, O. & Parashar, M., Mar 2018, In : Future Generation Computer Systems. 80, p. 342-354 13 p.

Research output: Contribution to journalArticle

Ecosystems
Intelligent buildings
Gain control
Processing
Costs
1 Citation (Scopus)

A view from ORNL: Scientific data research opportunities in the big data age

Klasky, S., Wolf, M., Ainsworth, M., Atkins, C., Choi, J., Eisenhauer, G., Geveci, B., Godoy, W., Kim, M., Kress, J., Kurc, T., Liu, Q., Logan, J., Maccabe, A. B., Mehta, K., Ostrouchov, G., Parashar, M., Podhorszki, N., Pugmire, D., Suchyta, E. & 2 others, Wan, L. & Wang, R., Jul 19 2018, Proceedings - 2018 IEEE 38th International Conference on Distributed Computing Systems, ICDCS 2018. Institute of Electrical and Electronics Engineers Inc., p. 1357-1368 12 p. (Proceedings - International Conference on Distributed Computing Systems; vol. 2018-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Electric sparks
Explosions
Industry
Big data
4 Citations (Scopus)

Coupling exascale multiphysics applications: Methods and lessons learned

Choi, J. Y., Chang, C. S., Dominski, J., Klasky, S., Merlo, G., Suchyta, E., Ainsworth, M., Allen, B., Cappello, F., Churchill, M., Davis, P., Di, S., Eisenhauer, G., Ethier, S., Foster, I., Geveci, B., Guo, H., Huck, K., Jenko, F., Kim, M. & 17 others, Kress, J., Ku, S. H., Liu, Q., Logan, J., Malony, A., Mehta, K., Moreland, K., Munson, T., Parashar, M., Peterka, T., Podhorszki, N., Pugmire, D., Tugluk, O., Wang, R., Whitney, B., Wolf, M. & Wood, C., Dec 24 2018, Proceedings - IEEE 14th International Conference on eScience, e-Science 2018. Institute of Electrical and Electronics Engineers Inc., p. 442-452 11 p. 8588752. (Proceedings - IEEE 14th International Conference on eScience, e-Science 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Multiphysics
Physics
physics
Performance Monitoring
Computational complexity

Data management, in-situ workflows and extreme scales

Parashar, M., Jun 12 2018, Proceedings of the 8th International Workshop on Runtime and Operating Systems for Supercomputers, ROSS 2018 - In conjunction with HPDC 2018. Association for Computing Machinery, Inc, 3217190. (Proceedings of the 8th International Workshop on Runtime and Operating Systems for Supercomputers, ROSS 2018 - In conjunction with HPDC 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Information management
5 Citations (Scopus)

Edge Enhanced Deep Learning System for Large-Scale Video Stream Analytics

Ali, M., Anjum, A., Usman Yaseen, M., Reza Zamani, A., Balouek-Thomert, D., Rana, O. & Parashar, M., May 11 2018, 2018 IEEE 2nd International Conference on Fog and Edge Computing, ICFEC 2018 - In conjunction with 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, IEEE/ACM CCGrid 2018. Institute of Electrical and Electronics Engineers Inc., p. 1-10 10 p. (2018 IEEE 2nd International Conference on Fog and Edge Computing, ICFEC 2018 - In conjunction with 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, IEEE/ACM CCGrid 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning systems
Fog
Object recognition
Processing
Data acquisition
10 Citations (Scopus)

End-to-end energy models for Edge Cloud-based IoT platforms: Application to data stream analysis in IoT

Li, Y., Orgerie, A. C., Rodero, I., Amersho, B. L., Parashar, M. & Menaud, J. M., Oct 2018, In : Future Generation Computer Systems. 87, p. 667-678 12 p.

Research output: Contribution to journalArticle

Internet service providers
Telecommunication networks
Internet of things
Energy utilization
Simulators

Farewell editorial

Parashar, M. & Zambonelli, F., Jan 2018, In : ACM Transactions on Autonomous and Adaptive Systems. 12, 4, 17.

Research output: Contribution to journalEditorial

Introduction to CEBDA 2018

Ibrahim, S., Parashar, M., Queralt, A. & Talia, D., Aug 3 2018, In : Proceedings - 2018 IEEE 32nd International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2018. 1 p., 8425552.

Research output: Contribution to journalEditorial

Message from DataCom 2018 program chairs and general chairs

Xia, F., Sgouropoulou, C., Parashar, M. & Skourlas, C., Oct 26 2018, Proceedings - IEEE 16th International Conference on Dependable, Autonomic and Secure Computing, IEEE 16th International Conference on Pervasive Intelligence and Computing, IEEE 4th International Conference on Big Data Intelligence and Computing and IEEE 3rd Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2018. Institute of Electrical and Electronics Engineers Inc., p. 1-6 6 p. 8511855. (Proceedings - IEEE 16th International Conference on Dependable, Autonomic and Secure Computing, IEEE 16th International Conference on Pervasive Intelligence and Computing, IEEE 4th International Conference on Big Data Intelligence and Computing and IEEE 3rd Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cryptography
Attribute
Identity-based Encryption
Voting
Social Networks

Message from the HiPC Workshops Co-chairs

Merchant, S. & Parashar, M., Feb 14 2018, In : Proceedings - 24th IEEE International Conference on High Performance Computing Workshops, HiPCW 2017. 2017-December, p. ix

Research output: Contribution to journalEditorial

2 Citations (Scopus)

Scalable data resilience for in-memory data staging

Duan, S., Subedi, P., Teranishi, K., Davis, P., Kolla, H., Gamell, M. & Parashar, M., Aug 3 2018, Proceedings - 2018 IEEE 32nd International Parallel and Distributed Processing Symposium, IPDPS 2018. Institute of Electrical and Electronics Engineers Inc., p. 105-115 11 p. 8425165. (Proceedings - 2018 IEEE 32nd International Parallel and Distributed Processing Symposium, IPDPS 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Data storage equipment
Resource allocation
Recovery
Costs
Experiments
3 Citations (Scopus)

Software-defined environments for science and engineering

AbdelBaky, M., Diaz-Montes, J. & Parashar, M., Jan 1 2018, In : International Journal of High Performance Computing Applications. 32, 1, p. 104-122 19 p.

Research output: Contribution to journalArticle

Service Composition
Engineering
Resources
Software
Chemical analysis
8 Citations (Scopus)

Supporting Data-Intensive Workflows in Software-Defined Federated Multi-Clouds

Diaz-Montes, J., Diaz-Granados, M., Zou, M., Tao, S. & Parashar, M., Jan 1 2018, In : IEEE Transactions on Cloud Computing. 6, 1, p. 250-263 14 p.

Research output: Contribution to journalArticle

Supercomputers
Cloud computing
Scheduling
Costs

Supporting Real-Time Jobs on the IBM Blue Gene/Q: Simulation-Based Study

Wang, D., Jung, E. S., Kettimuthu, R., Foster, I., Foran, D. J. & Parashar, M., Jan 1 2018, Job Scheduling Strategies for Parallel Processing - 21st International Workshop, JSSPP 2017,Revised Selected Papers. Desai, N., Klusacek, D. & Cirne, W. (eds.). Springer Verlag, p. 83-102 20 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10773 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Batch
Genes
Gene
Real-time
Simulation
26 Citations (Scopus)

The future of scientific workflows

Deelman, E., Peterka, T., Altintas, I., Carothers, C. D., van Dam, K. K., Moreland, K., Parashar, M., Ramakrishnan, L., Taufer, M. & Vetter, J., Jan 1 2018, In : International Journal of High Performance Computing Applications. 32, 1, p. 159-175 17 p.

Research output: Contribution to journalArticle

Scientific Workflow
Work Flow
National security
Hinges
Automation
2017

Adaptive Data Placement in Multi-Tiered Data Staging Runtime

Jin, T., Sun, Q., Romanus, M. & Parashar, M., Jan 1 2017, New Frontiers in High Performance Computing and Big Data. Grandinetti, L., Joubert, G., Getov, V., Fox, G. & Sterling, T. (eds.). IOS Press BV, p. 175-196 22 p. (Advances in Parallel Computing; vol. 30).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Dynamic random access storage
Electronic data interchange
Information management
Fusion reactions
Data storage equipment
1 Citation (Scopus)

An unsupervised approach for online detection and mitigation of high-rate DDoS attacks based on an in-memory distributed graph using streaming data and analytics

Villalobos, J. J., Rodero, I. & Parashar, M., Dec 5 2017, BDCAT 2017 - Proceedings of the 4th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies. Association for Computing Machinery, Inc, p. 103-112 10 p. (BDCAT 2017 - Proceedings of the 4th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Data storage equipment
Denial-of-service attack
Telecommunication traffic
Learning algorithms
Information technology
2 Citations (Scopus)

Computational resource management for data-driven applications with deadline constraints

Tolosana-Calasanz, R., Diaz-Montes, J., Rana, O. F., Parashar, M., Xydas, E., Marmaras, C., Papadopoulos, P. & Cipcigan, L., Apr 25 2017, In : Concurrency Computation. 29, 8, e4018.

Research output: Contribution to journalArticle

Electric Vehicle
Deadline
Resource Management
Electric vehicles
Data-driven
4 Citations (Scopus)

Computing in the Continuum: Combining Pervasive Devices and Services to Support Data-Driven Applications

Abdelbaky, M., Zou, M., Zamani, A. R., Renart, E., Diaz-Montes, J. & Parashar, M., Jul 13 2017, Proceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017. Lee, K. & Liu, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1815-1824 10 p. 7980120. (Proceedings - International Conference on Distributed Computing Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ecosystems
Decision making
Availability
Fluids
Processing
10 Citations (Scopus)

Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales

Foster, I., Ainsworth, M., Allen, B., Bessac, J., Cappello, F., Choi, J. Y., Constantinescu, E., Davis, P. E., Di, S., Di, W., Guo, H., Klasky, S., Van Dam, K. K., Kurc, T., Liu, Q., Malik, A., Mehta, K., Mueller, K., Munson, T., Ostouchov, G. & 10 others, Parashar, M., Peterka, T., Pouchard, L., Tao, D., Tugluk, O., Wild, S., Wolf, M., Wozniak, J. M., Xu, W. & Yoo, S., Jan 1 2017, Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Proceedings. Rivera, F. F., Pena, T. F. & Cabaleiro, J. C. (eds.). Springer Verlag, p. 3-19 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10417 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Data Reduction
Data reduction
Data analysis
Extremes
Supercomputers
1 Citation (Scopus)

D3W: Towards self-management of distributed data-driven workflows with QoS guarantees

Zou, M., Diaz-Montes, J., Nagaraja, K., Radia, N. & Parashar, M., Jan 17 2017, Proceedings - 2016 IEEE 9th International Conference on Cloud Computing, CLOUD 2016. Foster, I., Radia, N. & Foster, I. (eds.). IEEE Computer Society, p. 148-155 8 p. 7820266. (IEEE International Conference on Cloud Computing, CLOUD).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Quality of service
Throughput
Topology
Specifications
Chemical analysis
18 Citations (Scopus)

Data-Driven Stream Processing at the Edge

Renart, E. G., Diaz-Montes, J. & Parashar, M., Aug 21 2017, Proceedings - 2017 IEEE 1st International Conference on Fog and Edge Computing, ICFEC 2017. Institute of Electrical and Electronics Engineers Inc., p. 31-40 10 p. 8014357. (Proceedings - 2017 IEEE 1st International Conference on Fog and Edge Computing, ICFEC 2017).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Data transfer
Scalability
Processing
Computer systems programming
Experiments
2 Citations (Scopus)

Edge-supported approximate analysis for long running computations

Zamani, A. R., Petri, I., Diaz-Montes, J., Rana, O. & Parashar, M., Nov 16 2017, Proceedings - 2017 IEEE 5th International Conference on Future Internet of Things and Cloud, FiCloud 2017. Bentahar, J., Aleksy, M. & Younas, M. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 321-328 8 p. (Proceedings - 2017 IEEE 5th International Conference on Future Internet of Things and Cloud, FiCloud 2017; vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gateways (computer networks)
Data transfer
Computational complexity
Agglomeration
Availability