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Wide-Area Data Analytics [article]

Rachit Agarwal, Jen Rexford with contributions from numerous workshop attendees
2020 arXiv   pre-print
Over the past few years, several parts of the computer science research community have started to explore effective ways to analyze data spread over multiple locations.  ...  We increasingly live in a data-driven world, with diverse kinds of data distributed across many locations.  ...  In general, combining data from multiple sources could result in value that can be much larger than the sum of the parts; moreover, the cost of data acquisition can/should be amortized across multiple  ... 
arXiv:2006.10188v1 fatcat:gwphgw7kz5cjxldmpxlab2jqry

Cloud Kotta: Enabling Secure and Scalable Data Analytics in the Cloud [article]

Yadu N. Babuji, Kyle Chard, Aaron Gerow, Eamon Duede
2016 arXiv   pre-print
Here we present CLOUD KOTTA: a cloud-based data management and analytics framework.  ...  agreements, many research communities now require methods that allow secure, scalable and cost-effective storage and analysis.  ...  ACKNOWLEDGMENTS The authors thank Nandana Sengupta, Nathan Bartley, and Cha Chen for developing applications on CLOUD KOTTA.  ... 
arXiv:1610.03108v2 fatcat:4xrs7ophabgt5blzan37ecdlre


Yue Cheng, M. Safdar Iqbal, Aayush Gupta, Ali R. Butt
2015 Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing - HPDC '15  
goals to generate a cost-effective data placement and storage provisioning plan.  ...  cloud-based data analytics frameworks.  ...  Frugal Cloud File System (FCFS) [39] is a cost-effective cloud-based file storage that spans multiple cloud storage services.  ... 
doi:10.1145/2749246.2749252 dblp:conf/hpdc/ChengIGB15 fatcat:zzwsi524tnbehkonden4hbs3vy

Leveraging Cloud Computing for Systematic Performance Management of Quality of Care

Benjamin Eze, Craig Kuziemsky, Rubina Lakhani, Liam Peyton
2016 Procedia Computer Science  
Cloud computing is an emerging technology that can provide the needed interoperability and management of large volumes of data across the entire healthcare system.  ...  With the lack of interoperability between stakeholders in current healthcare compute and storage infrastructure as well as the volume of data involved, our ability to measure quality of care across the  ...  Cloud computing could provide the infrastructure for big data analytics, helping reduce the cost of care delivery, streamline health care processes, and analyze health data to detect disease outbreaks.  ... 
doi:10.1016/j.procs.2016.09.048 fatcat:bbbvmts3vfctnblhtq6w7wxkyy

A cost effective multi-cloud data hosting scheme using charm

2016 International Journal of Latest Trends in Engineering and Technology  
Data Hosting with low cost cloud storage Server will make effective use for client benefit. IV.  ...  This makes user difficult to move the data across multiple cloud architectures.  ... 
doi:10.21172/1.74.013 fatcat:c374jxk4bja3hpge46hv334uoq

Analyzation and Comparison of Cloud Computing and Data Mining Techniques: Big Data and Impact of Blockchain

Adarsh Bhandari
2021 International Journal for Research in Applied Science and Engineering Technology  
Furthermore, the impact of blockchain in cloud computing and big data analytics has been employed in this paper.  ...  Abstract: With the rapid escalation of data driven solutions, companies are integrating huge data from multiple sources in order to gain fruitful results.  ...  to very cost effective and highly business-like.  ... 
doi:10.22214/ijraset.2021.38888 fatcat:vg4muujranbhvlzqkeqkhe2g5u

Real-Time QoS Monitoring for Cloud-Based Big Data Analytics Applications in Mobile Environments

Khalid Alhamazani, Rajiv Ranjan, Prem Prakash Jayaraman, Karan Mitra, Meisong Wang, Zhiqiang George Huang, Lizhe Wang, Fethi Rabhi
2014 2014 IEEE 15th International Conference on Mobile Data Management  
The service delivery model of cloud computing acts as a key enabler for big data analytics applications enhancing productivity, efficiency and reducing costs.  ...  data analytics.  ...  The big data analytics in the cloud e.g. Mahout supported by Hadoop require real-time QoS monitoring across the cloud layers to ensure application's availability and performance.  ... 
doi:10.1109/mdm.2014.74 dblp:conf/mdm/AlhamazaniRJMWHWR14 fatcat:4d52qfxplzff3o357bgyh6reee

Successful Deployment of Cloud-hosted Services and Performance Management for Community Care

Benjamin Eze, Craig Kuziemsky, Jamie Stevens, Paul Boissonneault, Liam Peyton
2019 Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies  
Achieving systematic performance management of care processes across a health region requires an architecture that balances interoperability and data standardization with data governance and privacy compliance  ...  Cloud-hosted data services enabled data integration to a common data model.  ...  quickly in a scalable and cost-effective manner (Andry et al., 2015) .  ... 
doi:10.5220/0007365902480255 dblp:conf/biostec/EzeKSBP19 fatcat:g6ri2sldrrd6di3irtrtkm5nya

Towards Reliable (and Efficient) Job Executions in a Practical Geo-distributed Data Analytics System [article]

Xiaoda Zhang, Zhuzhong Qian, Sheng Zhang, Yize Li, Xiangbo Li, Xiaoliang Wang, Sanglu Lu
2018 arXiv   pre-print
Our experiments on the prototype of HOUTU running across four Alibaba Cloud regions show that HOUTU provides nearly efficient job performance as in the existing centralized architecture, and guarantees  ...  To this end, we present a new, general geo-distributed data analytics system, HOUTU, that is composed of multiple autonomous systems, each operating in a sovereign data center.  ...  We deploy HOUTU across four regions on Alibaba Cloud (AliCloud).  ... 
arXiv:1802.00245v3 fatcat:p7npeu2at5e6zdkrqd3gaemmf4

A Comparative Taxonomy and Survey of Public Cloud Infrastructure Vendors [article]

Dimitrios Sikeridis, Ioannis Papapanagiotou, Bhaskar Prasad Rimal, Michael Devetsikiotis
2018 arXiv   pre-print
We provide a taxonomy of their services and sub-services that designates major service families namely computing, storage, databases, analytics, data pipelines, machine learning, and networking.  ...  An increasing number of technology enterprises are adopting cloud-native architectures to offer their web-based products, by moving away from privately-owned data-centers and relying exclusively on cloud  ...  The regional service stores data in multiple data center facilities in the same region focusing on low-latency.  ... 
arXiv:1710.01476v2 fatcat:qra5ebnvejcsle5mpfbossxhtm

A Serverless Cloud-Fog Platform for DNN-Based Video Analytics with Incremental Learning [article]

Huaizheng Zhang, Meng Shen, Yizheng Huang, Yonggang Wen, Yong Luo, Guanyu Gao, Kyle Guan
2021 arXiv   pre-print
The state-of-the-art (SOTA) DNNs deployed at the cloud can identify regions of video frames that need further processing at the fog ends.  ...  The evaluation demonstrates that VPaaS is superior to several SOTA systems: it maintains high accuracy while reducing bandwidth usage by up to 21%, RTT by up to 62.5%, and cloud monetary cost by up to  ...  It can efficiently orchestrate both fog and cloud resources for cost-effective and high-accurate video analytics.  ... 
arXiv:2102.03012v1 fatcat:q4mxkmjkqbhq7m2cfq5of5i5p4

Large-Scale Uniform Analysis of Cancer Whole Genomes in Multiple Computing Environments [article]

Christina K. Yung, Brian D. O'Connor, Sergei Yakneen, Junjun Zhang, Kyle Ellrott, Kortine Kleinheinz, Naoki Miyoshi, Keiran M. Raine, Romina Royo, Gordon B. Saksena, Matthias Schlesner, Solomon I. Shorser (+14 others)
2017 bioRxiv   pre-print
The PCAWG dataset has been mirrored to multiple repositories and can be located using the ICGC Data Portal.  ...  The International Cancer Genome Consortium (ICGC)'s Pan-Cancer Analysis of Whole Genomes (PCAWG) project aimed to categorize somatic and germline variations in both coding and non-coding regions in over  ...  Our initial attempts to scale the analytic pipelines across multiple cloud systems were complicated by transient failures in many of the academic cloud environments, subtle differences between seemingly  ... 
doi:10.1101/161638 fatcat:lgpfe77jmbf6bnljteztvqla5i

A Visual Dashboard to Track Learning Analytics for Educational Cloud Computing

Diana M. Naranjo, José R. Prieto, Germán Moltó, Amanda Calatrava
2019 Sensors  
This automated procurement of evidences of student activity on the Cloud results in close to real-time learning analytics useful both for semi-automated assessment and student self-awareness of their own  ...  for Cloud instruction in AWS.  ...  Notice that this information aggregates resource usage across the multiple regions offered in AWS, a feature that can only be achieved with the AWS Management Console by switching from region to region  ... 
doi:10.3390/s19132952 fatcat:p7innt5hyzhopjfpmnagzdywli

A flexible architecture integrating monitoring and analytics for managing large-scale data centers

Chengwei Wang, Karsten Schwan, Vanish Talwar, Greg Eisenhauer, Liting Hu, Matthew Wolf
2011 Proceedings of the 8th ACM international conference on Autonomic computing - ICAC '11  
To effectively manage large-scale data centers and utility clouds, operators must understand current system and application behaviors.  ...  This requires continuous, real-time monitoring along with on-line analysis of the data captured by the monitoring system, i.e., integrated monitoring and analytics -Monalytics [28] .  ...  The actual analytics used, however, and the level of detail at which they must operate vary over time, across the different components or entities being managed, as well as across the multiple levels of  ... 
doi:10.1145/1998582.1998605 dblp:conf/icac/WangSTEHW11 fatcat:ebelm7tgjvenjhx4aqdr7yabo4

Increasing communication reliability in manufacturing environments

Milena Radenkovic, Ivaylo Kostadinov, Bartosz Wietrzyk
2015 2015 International Wireless Communications and Mobile Computing Conference (IWCMC)  
This paper is concerned with low cost mechanisms that can increase reliability of machine to machine and machine to cloud communications in increasingly complex manufacturing environments that can be disconnection  ...  We explore a distributed and cooperative sensing framework that supports localized real time predictive analytics of connectivity patterns and detection of a range of faults together with issuing of notifications  ...  We briefly describe the analytics that FDASS performs across multiple metrics below. Retentiveness [18] refers to the node's available storage for the new packets that are sent to them.  ... 
doi:10.1109/iwcmc.2015.7289283 dblp:conf/iwcmc/RadenkovicKW15 fatcat:zqb4ddvab5egjfaqfuntslaa6i
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