Astronomy in the Cloud: Using MapReduce for Image Co-Addition
نویسندگان
چکیده
منابع مشابه
Astronomy in the Cloud: Using MapReduce for Image Coaddition
In the coming decade, astronomical surveys of the sky will generate tens of terabytes of images and detect hundreds of millions of sources every night. The study of these sources will involve computation challenges such as anomaly detection and classification and moving-object tracking. Since such studies benefit from the highest-quality data, methods such as image co-addition, i.e., astrometri...
متن کاملUsing MapReduce Streaming for Distributed Life Simulation on the Cloud
Distributed software simulations are indispensable in the study of large-scale life models but often require the use of technically complex lower-level distributed computing frameworks, such as MPI. We propose to overcome the complexity challenge by applying the emerging MapReduce (MR) model to distributed life simulations and by running such simulations on the cloud. Technically, we design opt...
متن کاملIterative MapReduce for Azure Cloud
MapReduce distributed data processing architecture has become the de-facto data-intensive analysis mechanism in compute clouds and in commodity clusters, mainly due to its excellent fault tolerance features, scalability, ease of use and the simpler programming model. MapReduceRoles for Azure (MR4Azure) is a decentralized, dynamically scalable MapReduce runtime we developed for Windows Azure Clo...
متن کاملCharacterization for MapReduce on the Cloud
MapReduce is now a pervasive analytics engine on the cloud. Hadoop is an open source implementation of MapReduce and is currently enjoying wide popularity. Hadoop offers a high-dimensional space of configuration parameters, which makes it difficult for practitioners to set for efficient and cost-effective execution. In this work we observe that MapReduce application performance is highly influe...
متن کاملPoster: Cross Cloud MapReduce: an Uncheatable MapReduce
MapReduce [1] is becoming a popular data processing application on Cloud Environment. However, security issues make many customers reluctant to move their critical computation tasks to cloud. For instance, [2] points out a real security vulnerability that the cloud service leader Amazon EC2 suffers from: some members of EC2 can create and share Amazon Machine Image (AMI) to the EC2 community so...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Publications of the Astronomical Society of the Pacific
سال: 2011
ISSN: 0004-6280,1538-3873
DOI: 10.1086/658877