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Piecing Together Large Puzzles, Efficiently: Towards Scalable Loading Into Graph Database Systems

Gabriel Campero Durand, Jingy Ma, Marcus Pinnecke, Gunter Saake
2018 Workshop Grundlagen von Datenbanken  
In this paper we consider the design space of tools for efficient and scalable graph bulk loading.  ...  In future work we aim to study loading into alternative physical storages with GeckoDB, an HTAP database system developed in our group.  ...  CONCLUSION AND FUTURE WORK In this paper we share early results towards designing a tool for scalable bulk loading into a graph storage.  ... 
dblp:conf/gvd/DurandMPS18 fatcat:joffwprfozf4bdpiqbwzuh2hvi

SPEEDEX: A Scalable, Parallelizable, and Economically Efficient Digital EXchange [article]

Geoffrey Ramseyer, Ashish Goel, David Mazières
2022 arXiv   pre-print
SPEEDEX runs entirely within a Layer-1 blockchain, and thus achieves its scalability without fragmenting market liquidity between multiple blockchains or rollups.  ...  Not only does this market structure provide fairness across trades, but it also makes trade operations commutative and hence efficiently parallelizable.  ...  Each set is then split into four pieces, with one piece given to each replica. During an experiment, replicas load these sets sequentially and broadcast each set to every other replica.  ... 
arXiv:2111.02719v2 fatcat:dhn36bmw25gx7lqem2hgmx5sc4

Heuristic Algorithm for Efficient Data Retrieval Scheduling in the Multichannel Wireless Broadcast Environments

A. Porselvi, S.Brindha Devi
2015 International Journal of Computer Applications Technology and Research  
We also develop a heuristic algorithm to download a large number of items efficiently.  ...  The most important issues in mobile computing are energy efficiency and query response efficiency.  ...  INTRODUCTION A cloud computing provides efficient computation power and storage capacity via utilizing a large numbers of computers together.  ... 
doi:10.7753/ijcatr0405.1001 fatcat:7xpnnpep5vd7hcrmcjr4fvpnq4

Visual Simple Transformations

Pierre A. Akiki, Arosha K. Bandara, Yijun Yu
2017 ACM Transactions on Computer-Human Interaction  
into underlying executable workflows.  ...  This work was evaluated from a technical perspective by developing transformations and measuring ViSiT's efficiency and scalability and by constructing an example application to show ViSiT's practicality  ...  Once a puzzle piece is dragged and placed next to another, it automatically snaps into place if the puzzle pieces fit otherwise the new piece is placed apart.  ... 
doi:10.1145/3057857 fatcat:xcw5czsgfzebpnvfvzryg2trwu

An Automated Images-to-Graphs Framework for High Resolution Connectomics [article]

William Gray Roncal, Dean M. Kleissas, Joshua T. Vogelstein, Priya Manavalan, Kunal Lillaney, Michael Pekala, Randal Burns, R. Jacob Vogelstein, Carey E. Priebe, Mark A. Chevillet, Gregory D. Hager
2015 arXiv   pre-print
Finally, we deploy a reference end-to-end version of the pipeline on a large, publicly available data set.  ...  All code and data derivatives have been made publicly available toward eventually unlocking new biofidelic computational primitives and understanding of neuropathologies.  ...  Other groups have produced automated algorithms [7, 8, 9] that solve important pieces of the overall puzzle (e.g., neuron segmentation, synapse detection).  ... 
arXiv:1411.6880v2 fatcat:nyhvrug37zd7fccgmgohior7vi

A Survey of State-of-the-Art on Blockchains: Theories, Modelings, and Tools [article]

Huawei Huang, Wei Kong, Sicong Zhou, Zibin Zheng, Song Guo
2020 arXiv   pre-print
However, we think that a comprehensive survey towards the essentials of blockchains by exploiting the state-of-the-art theoretical modelings, analytic models, and useful experiment tools is still missing  ...  , we perform a thorough survey by identifying and classifying the most recent high-quality research outputs that are closely related to the theoretical findings and essential mechanisms of blockchain systems  ...  When the script is loaded, the mining will begin in the background of the system and a large portion of hardware resources are requisitioned for mining.  ... 
arXiv:2007.03520v2 fatcat:3lvd5dhkajdhbcwlh6vtdl7nlq

Efficient similarity-based operations for data integration

Eike Schallehn, Kai-Uwe Sattler, Gunter Saake
2004 Data & Knowledge Engineering  
The efficient processing of similarity-based operations mainly depends on an efficient evaluation of similarity predicates, which is illustrated for string similarity based on index support in materialised  ...  Implementations are given and evaluated to prove the applicability and efficiency of the proposed approaches.  ...  Though the concept of string similarity is covered by comprehensive research, the efficient and index-based evaluation in large data sets -for instance managed in database management systems -is a current  ... 
doi:10.1016/j.datak.2003.08.004 fatcat:rt7kdvdwljfglfol2k727qxnqe

Comparative Analysis and Modern Applications of PoW, PoS, PPoS Blockchain Consensus Mechanisms and New Distributed Ledger Technologies

Caglar Arslan, Selen Sipahioğlu, Emre Şafak, Mesut Gözütok, Tacettin Köprülü
2021 Advances in Science, Technology and Engineering Systems  
While blockchain technology was initially associated with the financial sector due to Bitcoin, research into its use in other sectors such as supply chain, records management, electoral systems, notary  ...  As a result, new distributed ledger technologies with increased speed and scalability have been established.  ...  R&D, Technology and Product Management Directorate and HAVELSAN Blockchain and Distributed Systems Laboratory.  ... 
doi:10.25046/aj060531 fatcat:dz4c2tvezjf2pcamthntea5od4

Database architecture evolution

Stefan Manegold, Martin L. Kersten, Peter Boncz
2009 Proceedings of the VLDB Endowment  
The holy grail for database architecture research is to find a solution that is Scalable & Speedy, to run on anything from small ARM processors up to globally distributed compute clusters, Stable & Secure  ...  In this paper, we provide a trip report on this quest, covering both past experiences, ongoing research on hardware-conscious algorithms, and novel ways towards self-management specifically focused on  ...  We wish to thank all (former) members of the CWI database group for their effort, inspiration and dedication to make MonetDB a success.  ... 
doi:10.14778/1687553.1687618 fatcat:az3viqkxx5hf7gmu5zoih67hgq

Knowledge Reactor: A Contextual Computing Work In Progress For Eldercare

Scott N. Gerard, Aliza Heching, Susann M. Keohane, Samuel S. Adams
2018 Zenodo  
It fuses and centralizes IoT and System of Record/Engagement data into a reactive knowledge graph. Cognitive applications and services are constructed with its multiagent architecture.  ...  The KR can scale-up and scaledown, because it exploits container-based, horizontally scalable services for graph store (JanusGraph) and pub-sub (Kafka) technologies.  ...  To demonstrate scalability, 20 copies of a graph dataset of nearly 1.3 million sensor readings were loaded into the KR. This created a graph of 103+ million graph elements (vertices and edges).  ... 
doi:10.5281/zenodo.1316393 fatcat:nglj65pbefcvzdyljmrof7f2ji

A source-to-source transformation for increasing rule-based system parallelism

A.J. Pasik
1992 IEEE Transactions on Knowledge and Data Engineering  
These characteristics are identified as being common among an important class of rule-based systems: expert database systems.  ...  Rule-based systems have been hypothesized to contain only minimal parallelism. However, techniques to extract more parallelism from existing systems are being investigated.  ...  Suppose, for example, that the following rule is written in order to identify two jigsaw puzzle pieces of the same color and fit them together: (p possible-connection (piece^color <X> id <I>) (piece^color  ... 
doi:10.1109/69.149929 fatcat:qwwmdx7ztbfwhpxfyyk7oe2pb4

Semantic Data Interoperability [chapter]

Hele-Mai Haav, Peep Küngas
2013 Big Data Computing  
Incorporating graph data sets and graph algorithms into database management systems. 4. Enabling platform support for probabilistic data and probabilistic query processing.''  ...  With Hadoop, data is loaded AS IS into a distributed file system and accessed programmatically by writing Map-Reduce programs."  ...  The data are copied from the source systems into HDFS for further processing. They do not store any of that on the Singularity (Teradata) system.  ... 
doi:10.1201/b16014-10 fatcat:iq4rpr4mwba3lpefxz5rfbiyti

Toward a multi-agent information management infrastructure for product family planning and mass customisation

Steven B. Shooter, Timothy W. Simpson, Soundar R.T. Kumara, Robert B. Stone, Janis P. Terpenny
2005 International Journal of Mass Customisation  
His research involves information management in design and mechatronic systems' design.  ...  By sharing assets such as components, processes, and knowledge across a family of products, companies can efficiently develop differentiated products and increase the flexibility and responsiveness of  ...  a large-scale system.  ... 
doi:10.1504/ijmassc.2005.007354 fatcat:7uqtw3jbt5aodea66x56fvkfia

Boosting Multi-Core Reachability Performance with Shared Hash Tables [article]

Alfons Laarman, Jaco van de Pol, Michael Weber
2010 arXiv   pre-print
A cornerstone of an efficient solution is the storage of visited states.  ...  Our implementation outperforms two state-of-the-art multi-core model checkers (SPIN and DiVinE) by a substantial margin, while placing fewer constraints on the load balancing and search algorithms.  ...  We implemented it as part of a model checker together with different exploration algorithms (pseudo BFS and pseudo DFS) and explicit load-balancing.  ... 
arXiv:1004.2772v2 fatcat:ugbtlnibizefzgmp5g2ynxi244

Creation of Blockchain and a New Ecosystem [chapter]

Makoto Yano, Chris Dai, Kenichi Masuda, Yoshio Kishimoto
2020 Economics, Law, and Institutions in Asia Pacific  
The load on the central server increases, and the cost of managing the server becomes very large.  ...  In most blockchain, the database is shared by a large number of servers. Each server stores the entire blockchain record and carries out similar jobs in parallel.  ... 
doi:10.1007/978-981-15-3376-1_1 fatcat:e5xgpq3tqfaopbsxc6cxom4tq4
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