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The Myria Big Data Management and Analytics System and Cloud Service
"... ABSTRACT In this paper, we present an overview of the Myria stack for big data management and analytics that we developed in the database group at the University of Washington and that we have been operating as a cloud service aimed at domain scientists around the UW campus. We highlight Myria&apos ..."
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ABSTRACT In this paper, we present an overview of the Myria stack for big data management and analytics that we developed in the database group at the University of Washington and that we have been operating as a cloud service aimed at domain scientists around the UW campus. We highlight Myria
Demonstration of the Myria Big Data Management Service
"... In this demonstration, we will showcase Myria, our novel cloud service for big data management and analytics designed to improve productivity. Myria’s goal is for users to simply upload their data and for the system to help them be self-sufficient data science experts on their data – self-serve anal ..."
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Cited by 9 (4 self)
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In this demonstration, we will showcase Myria, our novel cloud service for big data management and analytics designed to improve productivity. Myria’s goal is for users to simply upload their data and for the system to help them be self-sufficient data science experts on their data – self
SLA-aware Provisioning and Scheduling of Cloud Resources for Big Data Analytics
"... Abstract—The stunning growth in data has immensely im-pacted organizations. Their infrastructure and traditional data management system could not keep up to scale of Big Data. They have to either invest heavily on their infrastructure or move their Big Data analytics to Cloud where they can benefit ..."
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Abstract—The stunning growth in data has immensely im-pacted organizations. Their infrastructure and traditional data management system could not keep up to scale of Big Data. They have to either invest heavily on their infrastructure or move their Big Data analytics to Cloud where they can benefit
Load Balancing Technique for Climate Data Analysis in Cloud Computing Environment
"... Abstract — Climate data analysis requires huge computing as the data are multi-dimensional and of large size. In this paper, we aim at developing a prototype for large climate data analysis in cloud computing environment. A utility is being developed for executing the climate models in a cloud compu ..."
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needs to interact and make the outreach and network strongly. Keeping this in mind a design is developed as cloud framework to provide cloud clustering, work flow scheduling, resource allocation & management of distributed data storage, data analytics and visualization service. The web contents have
Deploying Large-Scale Data Sets on-Demand in the Cloud: Treats and Tricks on Data Distribution.
"... Public clouds have democratised the access to analytics for virtually any institution in the world. Virtual Machines (VMs) can be provisioned on demand, and be used to crunch data after uploading into the VMs. While this task is trivial for a few tens of VMs, it becomes increasingly complex and time ..."
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and time consuming when the scale grows to hundreds or thousands of VMs crunching tens or hundreds of TB. Moreover, the elapsed time comes at a price: the cost of provisioning VMs in the cloud and keeping them waiting to load the data. In this paper we present a big data provisioning service
Data-centric programming in the datacenter
, 2009
"... ABSTRACT The advent of cloud computing is turning datacenter clusters into a commodity. By making large clusters trivial to acquire, manage, and maintain, cloud computing promises to seed a phase of innovative software development, with a wide range of programmers developing new services that scale ..."
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Cited by 10 (3 self)
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ABSTRACT The advent of cloud computing is turning datacenter clusters into a commodity. By making large clusters trivial to acquire, manage, and maintain, cloud computing promises to seed a phase of innovative software development, with a wide range of programmers developing new services
Smart- Suspend-and-Resume for Rarity Scheduling
"... Abstract—It is common nowadays to architect and design scaled-out systems with off-the-shelf computing components operated and managed by off-the-shelf open-source tools. While web services represent the critical set of services offered at scale, big data analytics is emerging as a preferred service ..."
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Abstract—It is common nowadays to architect and design scaled-out systems with off-the-shelf computing components operated and managed by off-the-shelf open-source tools. While web services represent the critical set of services offered at scale, big data analytics is emerging as a preferred
hardware and mobile web technology Master of Science Thesis in Programme Computer Systems and Networks
, 2013
"... Digitising statistics handling through ..."
Datacenters as Computers: Google Engineering & Database Research Perspectives
"... In this collaborative keynote address, we will share Google’s experience in building a scalable data infrastructure that leverages datacenters for managing Google’s advertising data over the last decade. In order to support the massive online advertising platform at Google, the data infrastructure m ..."
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must simultaneously support both transactional and analytical workloads. The focus of this talk will be to highlight how the datacenter architecture and the cloud computing paradigm has enabled us to manage the exponential growth in data volumes and user queries, make our services highly avail-able
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