Data intensive iterative computations on cloud environments
SCALABLE PARALLEL COMPUTING ON CLOUDS: EFFICIENT AND SCALABLE ARCHITECTURES TO PERFORM PLEASINGLY PARALLEL, MAPREDUCE AND ITERATIVE DATA INTENSIVE COMPUTATIONS ON CLOUD ENVIRONMENTS
... announced iterative MapReduce runtime developed by Microsoft Research for Microsoft Azure Cloud ...intermediate data and final output data which enables data backup and easier failure ...
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Scalable Parallel Computing on Clouds : Efficient and scalable architectures to perform pleasingly parallel, MapReduce and iterative data intensive computations on cloud environments
... • T. Gunarathne, T.-L. Wu, B. Zhang and J. Qiu, “Portable Parallel Programming on Cloud and HPC: Scientific Applications of Twister4Azure”. 4 th IEEE/ACM International Conference on Utility and Cloud ...
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Data Intensive Storage Services for Cloud Environments
... holder data includes primary account num- ber, expiration date, name as it appears on the card, CVV, CVV2 and magnetic ...around data and its exposure to ...virtual environments including: evaluat- ...
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Data Intensive Storage Services for Cloud Environments
... the cloud technology, the multiten- ant and geographically distributed nature of clouds hides a large crowd of security and regulatory issues to be ...for cloud providers to overcome customers hesitancy and ...
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Satisfying strong application requirements in data-intensive cloud computing environments
... different data placement and ...different data distributions. In Figure 2.11, we look at two data distributions in the Source 1-8 setting, that differ from the uniform, 2 TB ...in data ...
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Cloud Technologies for Data Intensive Computing
... – 1) Synchronous – Lockstep Operation as in SIMD architectures – 2) Loosely Synchronous – Iterative Compute-Communication stages with independent compute (map) operations for each CPU. Heart of most MPI jobs – 3) ...
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CloudClustering: Toward an iterative data processing pattern on the cloud
... partition data from the blob storage in parallel and then processing the points using the given ...the data, which occurs in two stages as described in the previous section: assigning points to closest ...
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A Framework for Data-Intensive Computing with Cloud Bursting
... and data-intensive ...of data-intensive ...and cloud resources can be effectively used, with only a small slowdown over processing using the same aggregate computing power at one ...
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On Replication Strategies for Data Intensive Cloud Applications
... structured data and metadata in RDBMS (Google, Yahoo!, Facebook ...OLTP). Data intensive clouds provide high computation power as an abstraction to ...A Data Intensive cloud can ...
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A Cloud Environment for Data-intensive Storage Services
... of data currently being produced is the fraction of data on the Internet that is indexed by Google, which is only ...in cloud environments is the management of the data being produced ...
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Accelerating Data-Intensive Genome Analysis in the Cloud
... a cloud- enabled autonomous exome analysis workflow, which is implemented as a web service and shipped as a cloud image for ease of ...several cloud-specific optimizations that can be applied in any ...
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User-Controlled Computations in Untrusted Computing Environments
... of cloud computing with users renting computing resources from centralized cloud ...specified computations (and only those) on her encrypted ...
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Architecture and Performance of Runtime Environments for Data Intensive Scalable Computing
... big data problems – We discussed how various applications can be mapped to the MapReduce model without incurring considerable overheads • The programming extensions and the efficient architecture we proposed ...
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Architecture and Performance of Runtime Environments for Data Intensive Scalable Computing
... 3. Jaliya Ekanayake, Atilla Soner Balkir, Thilina Gunarathne, Geoffrey Fox, Christophe Poulain, Nelson Araujo, Roger Barga, DryadLINQ for Scientific Analyses, Accepted for publication in Fifth IEEE International ...
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ARCHITECTURE AND PERFORMANCE OF RUNTIME ENVIRONMENTS FOR DATA INTENSIVE SCALABLE COMPUTING
... many iterative MapReduce ...static data. Since the tasks only store static data, the map and reduce functions in Twister can still be considered “side effect free”, a feature that simplify the fault ...
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A New Efficient Cloud Model for Data Intensive Application
... Azure cloud environment that utilizes Azure infrastructure ...of cloud services by using sufficiently fine grained map and reduces ...eventual data availability of cloud storage services ...
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A Service for Data-Intensive Computations on Virtual Clusters
... Support range of protocols and description schemas Connect distributed data repositories and archives. Development of common digital object model Dynamic mapping of objects from different institutions ...
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Automatic Scaling Iterative Computations
... 2.3.2 Iterative Bulk Synchronous Processing Frameworks Batch processing frameworks have limited support for iterative ...of iterative computations: the computation within each iteration can be ...
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Big provenance stream processing for data-intensive computations
... of data within a Data ...community Data Lake and later realizes that it contains sensitive data which should not be ...this data in subsequent experiments. Output data schemas of ...
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Data classification algorithm for data intensive computing environments
... on data flow have been proposed; however, research on applying outlier detection algorithms to data is still in the primary ...in data-intensive computing environ- ments is of great ...
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