Publications and Presentations by the ACIS Lab

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2019
G. Lee and J. A. B. Fortes, “Improving Data-Analytics Performance Via Autonomic Control of Concurrency and Resource Units”, ACM Transactions on Autonomous and Adaptive Systems, vol. 13, no. 3, 2019.
D. Ding, R. J. Figueiredo, and M. Conti, “SAND: Social-Aware, Network-Failure Resilient, and Decentralized Microblogging System”, Future Generation Computer Systems, vol. 93, no. April 2019, p. 637-650, 2019.
2018
A. E. Thessen, J. H. Poelen, M. Collins, and J. Hammock, “20 GB in 10 minutes: a case for linking major biodiversity databases using an open socio-technical infrastructure and a pragmatic, cross-institutional collaboration”, PeerJ Computer Science, vol. 4, no. e164, 2018.
M. Nakagami, J. Kon, G. Lee, J. A. B. Fortes, and S. Yamaguchi, “File Placing Location Optimization on Hadoop SWIM”, in 9th International Workshop on Advances in Networking and Computing (WANC’18), 2018.
K. C. Seltmann, et al., “Georeferencing for Research Use (GRU): An integrated geospatial training paradigm for biocollections researchers and data providers”, Research Ideas and Outcomes, vol. 4, p. e32449, 2018.
S. A. James, et al., “Herbarium data: Global biodiversity and societal botanical needs for novel research”, Applications in Plant Sciences, vol. 6, p. e1024–n/a, 2018.
J. Kon, G. Lee, J. A. B. Fortes, and S. Yamaguchi, “A Kernel-based Method of Resolving Performance Inefficiencies in Mining Frequent-patterns in Encrypted Data”, in 9th International Workshop on Advances in Networking and Computing (WANC’18), 2018.
S. Aditya, K. Subratie, and R. J. Figueiredo, “PerSoNet: Software-defined Overlay Virtual Networks Spanning Personal Devices Across Social Network Users”, in IEEE CloudCom, 2018.
M. Collins, R. Tarvin, M. Kandziora, W. Dahdul, and D. Paul, “Phenomap - Challenges and Successes in Bringing Together Multiple Data Projects to Build New Visualizations of Phenotypic Information and Specimen Records”, Biodiversity Information Standards (TDWG). 2018.
M. Collins, G. Yeole, P. B Frandsen, R. B Dikow, S. Orli, and R. J. Figueiredo, “A Pipeline for Deep Learning with Specimen Images in iDigBio - Applying and Generalizing an Examination of Mercury Use in Preparing Herbarium Specimens”, Biodiversity Information Science and Standards, vol. 2, p. e25699, 2018.
K. Subratie and R. J. Figueiredo, “Towards Island Networks: SDN-Enabled Virtual Private Networks with Peer-to-Peer Overlay Links for Edge Computing”, in Proceedings of International Conference on Internet and Distributed Computing Systems (IDCS), 2018.
D. Ding, R. J. Figueiredo, and M. Conti, “Wide-scale Internet Disconnection: Impact and Recovery on Social-based P2P Overlays”, IEEE Transactions on Network Science and Engineering, 2018.
2017
M. Collins, N. Nicholson, J. Poelen, A. Thompson, J. Hammock, and A. Thesen, “Building Your Own Big Data Analysis Infrastructure for Biodiversity Science”. 2017.
S. Aditya and R. J. Figueiredo, “Frugal: Building degree-constrained overlay topology from social graphs”, in 1st IEEE International Conference on Fog and Edge Computing (ICFEC), Madrid, Spain, 2017.
K. Subratie, S. Aditya, S. Mahesula, R. J. Figueiredo, C. C. Carey, and P. C. Hanson, “GRAPLEr: A distributed collaborative environment for lake ecosystem modeling that integrates overlay networks, high-throughput computing, and WEB services”, Concurrency and Computation: Practice and Experience, vol. 29, no. 13, 2017.
G. Lee and J. A. B. Fortes, “Hierarchical Self-Tuning of Concurrency and Resource Units in Data-Analytics Frameworks”, in International Conference on Autonomic Computing (ICAC), Columbus, OH, USA, 2017, vol. IEEE, p. 49-58 (Best Student Paper Award).
K. Jeong, R. J. Figueiredo, and K. Ichikawa, “PARES: Packet Rewriting on SDN-Enabled Edge Switches for Network Virtualization in Multi-Tenant Cloud Data Centers”, The IEEE International Conference on Cloud Computing (CLOUD) . 2017.
K. Jeong, K. Ichikawa, and R. Figueiredo, “On the Performance and Cost of Cloud-Assisted Multi-path Bulk Data Transfer”, in IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2017.
K. Ichikawa, et al., “PRAGMA-ENT: An International SDN testbed for cyberinfrastructure in the Pacific Rim”, Concurrency and Computation: Practice and Experience, vol. 29, no. 13, 2017.
I. Alzuru, A. Matsunaga, M. Tsugawa, and J. A. B. Fortes, “SELFIE: Self-aware Information Extraction from Digitized Biocollections”, in 13th IEEE International Conference on eScience, 2017.
K. Nakashima, J. Kon, G. Lee, J. Fortes, and S. Yamaguchi, “A Study on Big Data I/O Performance with Modern Storage Systems”, in IEEE International Conference on Big Data, Boston, MA, USA, 2017.
I. Alzuru, A. Matsunaga, M. Tsugawa, and J. A. B. Fortes, “Task Design and Crowd Sentiment in Biocollections Information Extraction”, in 3rd IEEE International Conference on Collaboration and Internet Computing, 2017.
K. Subratie, S. Aditya, S. Sabogal, T. Theegala, and R. J. Figueiredo, “Towards Dynamic, Isolated Work-groups for Distributed IoT and Cloud Systems with Peer-to-Peer Virtual Private Networks”, in Sensors to Cloud Architectures Workshop (SCAW-2017), Austin, USA, 2017.
2016
M. Collins, “Accessing Digital Collections Data Sources for Research: A Tour of iDigBio Data Services”, in Island Biology 2016, II International Conference on Island Evolution, Ecology, and Conservation, University of the Azores at Angra do Heroísmo, Terceira Island, Azores, Portugal, 2016.
E. K. Read, et al., “Building the Team for Team Science”, Ecosphere, vol. 7, no. 3, 2016.

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