[PDF] Top 20 Towards an Adaptive High-performance Execution of Scientific Applications in a Dynamic Cloud Environment

... Each model repeatedly perform one round of get()s, then do some work based on the received coupling data, then perform one round of put()s. A single cycle of this iteration is known as a minor cycle and is equivalent to ... See full document

... private Cloud is set Using Eucalyptus which is an open source software which implements Infrastructure as a service (IaaS) Cloud ...distributed scientific applications over the allocated ... See full document

... Multisite Adaptive Mobile Cloud (MAMoC)-Android, a mobile client framework which allows an Android mobile device within the shared environment to offload its tasks (classes or methods) to other ... See full document

... introduces cloud computing and includes definitions, architectures, deployment and services ...of Scientific Application Models tested in our work with explaining each of ...and performance metrics. ... See full document

... as high-bandwidth Internet access, high-definition video processing, and interactive video conferencing will be ...for high-mobility situations and 1 GBPS for stationary and low-mobility scenarios ... See full document

... the performance of Distributed ...powerful applications of self-managing virtual computer out of a large collection of heterogeneous systems that sharing various resources which lead to the problem of load ... See full document

... the environment more eco-friendly, our research project was aiming in reducing E-waste accumulated by ...modern high-end processors in the scenario of cloud ...various applications till their ... See full document

... scale applications expressed as scientific workflows are often grouped into ensembles of inter-related ...and dynamic strategies for both task scheduling and resource ...of scientific workflow ... See full document

... the cloud computing field, the development of cloud services by different companies has impacted the scientific ...scalable cloud computing services that can potentially replace private ... See full document

... of cloud resource ...on cloud resource ...on cloud resource management focusing on large-scale applications and ...multi- cloud scenarios, comprising large-scale deployments and more ... See full document

... a dynamic, het- erogeneous ...self-manageable Cloud services which in case of failures or environmental changes man- age themselves to fulfill the guaranteed quality of ...of applications in the ... See full document

... massive scientific data storage on the network, and based on the Hadoop and virtual technologies, the massive scientific data storage model based on cloud computing is ...massive scientific ... See full document

... in execution of a MapReduce algorithm, it becomes essential to handle large files in the case of having limited computing resources in the ...of applications and resources allocated for running ... See full document

... the Cloud enabled Computation In- dependent Model to describe an application and its data; CPIM, the Cloud-Provider Independent Model to describe Cloud concerns related to the application in a ... See full document

... The cloud computing model has different stakeholders stack holders: cloud provider, service provider and the ...the cloud containers stack to represent and reason about their offered / required ... See full document

... distributed scientific data, the scientific community has been seeking for how to manage and share large-scale scientific data ...for scientific data ...source cloud platform related to ... See full document

... overall performance of spatial be a part of is strongly correlated with the fee of Q1 (average region of partitions) and placed that Quad tree outperformed unique techniques being ... See full document

... Calculate pairwise distances for a collection of genes used for clustering, MDS ON^2 problem “Doubly Data Parallel” at Dryad Stage Performance close to MPI Performed on 768 cores Tempest[r] ... See full document

... the high velocity capture, discovery, and/or analysis” specified that big data is not only characterized by the three Vs mentioned above but may also extend to four Vs, namely, volume, variety, velocity, and ... See full document

... the cloud for executing ...the cloud given a budget constraint [13] and approaches to cost-effectively execute BoT on multiple clouds [14] are recent ...the cloud has been investigated ...scale ... See full document