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APIUaaS: A Reference Architecture for Facilitating API Usage from a Data Analytics Perspective

YAN LIU, Jitong ZHAO
2019 IET Software  
data analytics.  ...  The detailed structural links between API elements and source codes are captured and stored in the data model & code assets layer.  ...  Intuitively, the method call sequences across different java class files compose a method call sequence graph together, with the linear method call sequence in one file regarded as a sub-graph.  ... 
doi:10.1049/iet-sen.2018.5355 fatcat:ld6yzef3jrgdnfkz3sfd7q47nu

Foreword to the Special Issue: "Semantics for Big Data Integration"

Domenico Beneventano, Maurizio Vincini
2019 Information  
In recent years, a great deal of interest has been shown toward big data. Much of the work on big data has focused on volume and velocity in order to consider dataset size.  ...  Indeed, the problems of variety, velocity, and veracity are equally important in dealing with the heterogeneity, diversity, and complexity of data, where semantic technologies can be explored to deal with  ...  In "High Performance Methods for Linked Open Data Connectivity Analytics" [3] , the authors introduce scalable methods and algorithms to find all the connections among the Linked Open Data (LOD) Cloud  ... 
doi:10.3390/info10020068 fatcat:whjdf63ypzb7joy62mrb2ft7xa

Climate Analytics as a Service [chapter]

J.L. Schnase
2016 Cloud Computing in Ocean and Atmospheric Sciences  
CAaaS combines high-performance computing and data-proximal analytics with scalable data management, cloud computing virtualization, the notion of adaptive analytics, and a domain-harmonized API to improve  ...  In our efforts to address the big data challenges of climate science, we are moving toward a notion of Climate Analytics-as-a-Service (CAaaS).  ...  In addition, Python scripts and full Python applications also can use methods imported from the API.  ... 
doi:10.1016/b978-0-12-803192-6.00011-6 fatcat:zx4uhrsb5vdapj6x2qc533ojp4

GraphSense: A General-Purpose Cryptoasset Analytics Platform [article]

Bernhard Haslhofer and Rainer Stütz and Matteo Romiti and Ross King
2021 arXiv   pre-print
In this paper, we present the design and implementation of another option: the GraphSense Cryptoasset Analytics Platform, which can be used for interactive investigations of monetary flows and, more importantly  ...  , for executing advanced analytics tasks using a standard data science tool stack.  ...  In this paper, we present a third option: the GraphSense Cryptoasset Analytics Platform, which is designed as an extensible and scalable analytics platform for running customized analytics tasks on data  ... 
arXiv:2102.13613v1 fatcat:bcv2lhje2veczlnagsfvnfqhui

Build [chapter]

Aruna Ravichandran, Kieran Taylor, Peter Waterhouse
2016 DevOps for Digital Leaders  
To address this, API owners, enterprise architects, and business executives should consider adopting methods and API management solutions that expand the scope of the API lifecycle management beyond gateway  ...  Since API management inherently addresses the DevOps lifecycle for APIs, it should address all elements (see Figure 4 -1 ) and empower every stakeholder described in this chapter.  ... 
doi:10.1007/978-1-4842-1842-6_4 fatcat:nwae2ac7j5dy3euusqdu2wqjwa

Interactive Analytics for Very Large Scale Genomic Data [article]

Cuiping Pan, Nicole Deflaux, Gregory McInnes, Michael Snyder, Jonathan Bingham, Somalee Datta, Philip Tsao
2015 bioRxiv   pre-print
With the quantity and diversity these data harbor, a robust and scalable data handling and analysis solution is desired.  ...  Here we present interactive analytics using public cloud infrastructure and distributed computing database Dremel and developed according to the standards of Global Alliance for Genomics and Health, to  ...  study we have presented the computational paradigm combining cloud-based systems 16 and distributed query engines to address the scalability and interactivity in large genomic data 17 analytics.  ... 
doi:10.1101/035295 fatcat:f6kwtlzqxnfuzbt5wvtgn7pjfe

PAPAyA: A Highly Scalable Cloud-based Framework for Genomic Processing

Francois Andry, Nevenka Dimitrova, Alexander Mankovich, Vartika Agrawal, Anas Bder, Ariel David
2016 Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies  
therapy guidance to physicians in particular for cancers and infectious diseases.  ...  This new highly scalable, secure and extensible framework is deployed on a cloud-based digital health platform that provides generic provisioning and hosting services, identity and access management, workflow  ...  Thank you to the Philips PAPAyA and the hybrid storage teams in Petah Tikva, Israel for help in making PAPAyA a full commercial product.  ... 
doi:10.5220/0005668401980206 dblp:conf/biostec/AndryDMABD16 fatcat:o57np2qj2fawzeyagksqgrb3um

AllScale toolchain pilot applications: PDE based solvers using a parallel development environment

Fearghal O'Donncha, Roman Iakymchuk, Albert Akhriev, Philipp Gschwandtner, Peter Thoman, Thomas heller, Xavi Aguilar, Kiril Dichev, Charles Gillan, Stefano Markidis, Erwin Laure, Emanuele Ragnoli (+4 others)
2019 Zenodo  
based on a particle-in-cell method.  ...  AllScale is a programming environment targeting highly scalable parallel applications, simplifying application development in the ExaScale era by siloing development responsibilities.  ...  Various methods of distributed Kalman filtering have been proposed, but many still suffer from scalability issues or depend on the structure of the problem.  ... 
doi:10.5281/zenodo.3559661 fatcat:yi3zfg7ekfe5xckgqbfnv7vpvm

IntegrationDistiller: Automating Integration Analysis and Testing of Object-Oriented Applications [article]

Mehrdad Saadatmand
2018 arXiv   pre-print
In this paper we introduce IntegrationDistiller as an automated solution and tool to identify integration scenarios and generate test cases (in the form of method call sequences) for .NET applications.  ...  On the other hand, most of the integration testing solutions proposed in the literature are manual which hinders their scalability and applicability when it comes to large industrial systems.  ...  The scalability aspect is addressed in this work through effective automation, as one of the main prerequisites of scalability.  ... 
arXiv:1811.09661v2 fatcat:vvl6iswis5fwjjom7tbb67t4pe

AllScale toolchain pilot applications: PDE based solvers using a parallel development environment

Fearghal O'Donncha, Roman Iakymchuk, Albert Akhriev, Philipp Gschwandtner, Peter Thoman, Thomas heller, Xavi Aguilar, Kiril Dichev, Charles Gillan, Stefano Markidis, Erwin Laure, Emanuele Ragnoli (+4 others)
2018 Zenodo  
based on a particle-in-cell method.  ...  AllScale is a programming environment targeting highly scalable parallel applications, simplifying application development in the ExaScale era by siloing development responsibilities.  ...  Various methods of distributed Kalman filtering have been proposed, but many still suffer from scalability issues or depend on the structure of the problem.  ... 
doi:10.5281/zenodo.1494825 fatcat:6a52uykfr5ertpqwvb5bmts5uy

The SAGE project: a storage centric approach for exascale computing

Sai Narasimhamurthy, Dirk Pleiter, Stefano Markidis, Nikita Danilov, Sining Wu, Ganesan Umanesan, Steven Wei Der Chien, Sergio Rivas-Gomez, Ivy Bo Peng, Erwin Laure, Shaun de Witt
2018 Proceedings of the 15th ACM International Conference on Computing Frontiers - CF '18  
SAGE addresses the convergence of Big Data Analysis and HPC in an era of next-generation data centric computing.  ...  The main SAGE software component is the Seagate Mero Object Storage that is accessible via the Clovis API and higher level interfaces.  ...  Seagate (UK), Bull ATOS (France), ARM (UK), KTH (Sweden), STFC (UK), CCFE (UK), Diamond (UK), DFKI (Germany), Forchungszentrum Jülich (Germany) and CEA (France) -which is being represented by the Authors in  ... 
doi:10.1145/3203217.3205341 dblp:conf/cf/Narasimhamurthy18 fatcat:kiqbhpnebrbyhfu27hrqv5bkya

Towards a big data platform for managing machine generated data in the cloud

Nicolas Ferry, German Terrazas, Per Kalweit, Arnor Solberg, Svetan Ratchev, Dirk Weinelt
2017 2017 IEEE 15th International Conference on Industrial Informatics (INDIN)  
However, analyzing the vast amount of data generated is resource demanding both in term of computing power and network bandwidth, thus requiring highly scalable solutions.  ...  This paper presents a novel big data platform for the management of machine generated data in the cloud.  ...  In order to address these, we have designed and developed a distributed, resource-efficient, highly scalable solution across shop-floor machines, MC-Monitor and MC-Analytics as depicted in Fig. 2 .  ... 
doi:10.1109/indin.2017.8104782 dblp:conf/indin/FerryTKSRW17 fatcat:dmlyyp3ezzaxzlskk75a7sqtpm

Snap4City: A Scalable IOT/IOE Platform for Developing Smart City Applications

Claudio Badii, E.G. Belay, Pierfrancesco Bellini, daniele Cenni, Mino Marazzini, Marco Mesiti, Paolo Nesi, Gianni Pantaleo, Michela Paolucci, Stefano Valtolina, Mirco Soderi, Imad Zaza
2018 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)  
Among them, in this paper, a special attention is given to the tools and solutions for monitoring communication performance and to perform the assessment of scalability.  ...  The combination of IOT and smart city is not an easy task, the data volumes are much higher than those addressed for industrial IOT.  ...  We also thanks to Km4City for the usage of data for testing and validation in the early phases.  ... 
doi:10.1109/smartworld.2018.00353 dblp:conf/uic/BadiiBBCMMNPPVS18 fatcat:36jc7x6vdbaglir23zorua7que

GridOPTICS(TM) A Novel Software Framework for Integrating Power Grid Data Storage, Management and Analysis

Ian Gorton, Jian Yin, Bora Akyol, Selim Ciraci, Terence Critchlow, Yan Liu, Tara Gibson, Sumit Purohit, Poorva Sharma, Maria Vlachopoulou
2013 2013 46th Hawaii International Conference on System Sciences  
We address this challenge though a scalable system architecture that balances system performance and ease of integration.  ...  A significant challenge is the requirement to access large amount of data in real time.  ...  The API is written in java, and can be called from any java application or from within the R event detection platform.  ... 
doi:10.1109/hicss.2013.243 dblp:conf/hicss/GortonYACCLGPPM13 fatcat:4is3s6ppdbd3tlzdxqnevhw7ku

BINARY: A framework for big data integration for ad-hoc querying

Azadeh Eftekhari, Farhana Zulkernine, Patrick Martin
2016 2016 IEEE International Conference on Big Data (Big Data)  
In this thesis, we propose a framework called BINARY (A framework for Big data INtegration for Ad-hoc queRYing).  ...  HBase) and analytics engines (e.g. R) as needed.  ...  Different analytics methods require data in different formats.  ... 
doi:10.1109/bigdata.2016.7840922 dblp:conf/bigdataconf/EftekhariZM16 fatcat:4jd5ycet45df7bhxt76crevzlm
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