Changes between Version 28 and Version 29 of GEC21Agenda/EveningDemoSession


Ignore:
Timestamp:
10/20/14 11:38:01 (5 years ago)
Author:
xuan.liu@mail.umkc.edu
Comment:

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  • GEC21Agenda/EveningDemoSession

    v28 v29  
    145145==== Hadoop-in-a-Hybrid-Cloud ====
    146146
    147 MapReduce is a programming model for processing and generating large data sets, and Hadoop, a !MapReduce implementation, is a good tool to handle Big Data. Cloud computing with its ubiquitous characteristic, on demand and dynamic resource provisioning at low cost has potential to be the environment to treat big data. However, using Hadoop on the cloud spends time and requires technical knowledge from users. The hybrid cloud leverages these requirements, because it’s necessary to evaluate the resources in private cloud and, if necessary, obtain and prepare on-demand resources in the public cloud. Moreover, the simultaneous management of private and public domains requires an appropriate model that combines performance with minimal cost. We propose an architecture to make the orchestration of Hadoop applications in hybrid clouds. The core of the model consists of a web portal for submissions, an orchestration engine and an execution services factory. Through these three components it’s possible to automate the preparation of a cross-domain cluster, performing the provisioning of files involved, managing the execution of the application, and making the results available to the user.
     147!MapReduce is a programming model for processing and generating large data sets, and Hadoop, a !MapReduce implementation, is a good tool to handle Big Data. Cloud computing with its ubiquitous characteristic, on demand and dynamic resource provisioning at low cost has potential to be the environment to treat big data. However, using Hadoop on the cloud spends time and requires technical knowledge from users. The hybrid cloud leverages these requirements, because it’s necessary to evaluate the resources in private cloud and, if necessary, obtain and prepare on-demand resources in the public cloud. Moreover, the simultaneous management of private and public domains requires an appropriate model that combines performance with minimal cost. We propose an architecture to make the orchestration of Hadoop applications in hybrid clouds. The core of the model consists of a web portal for submissions, an orchestration engine and an execution services factory. Through these three components it’s possible to automate the preparation of a cross-domain cluster, performing the provisioning of files involved, managing the execution of the application, and making the results available to the user.
    148148
    149149Participants:
    150150
    151151 * Xuan Liu,  xuan.liu@mail.umkc.edu, Univ. of Missouri-Kansas City
     152 * Shuai Zhao, shuai.zhao@mail.umkc.edu, Univ. of Missouri - Kansas City
     153 * Luis Russi, luisrussi@lrc.ic.unicamp.br, Institute of Computing, State University of Campinas – Brazil
     154
    152155
    153156
     
    209212==== Simulation-As-A-Service App ====
    210213
    211 We will demonstrate new configuration of our simulation-as-a-service (SMaaS) App that involves TotalSim? using GENI for PaaS experiments, which will enable them to deliver their App (that has data-intensive computation and data movement workflows) in SaaS form to their customers. We will also show ontology integration for a collaboration use case in advanced manufacturing. Gigabit App developers and cloud infrastructure engineers will particularly find our demo interesting.
     214We will demonstrate new configuration of our simulation-as-a-service (SMaaS) App that involves !TotalSim using GENI for PaaS experiments, which will enable them to deliver their App (that has data-intensive computation and data movement workflows) in SaaS form to their customers. We will also show ontology integration for a collaboration use case in advanced manufacturing. Gigabit App developers and cloud infrastructure engineers will particularly find our demo interesting.
    212215
    213216Participants:
     
    264267
    265268 * Rick !McGeer,  rick@mcgeer.com
    266 GENI Experiment Engine
     269
     270
     271==== GENI Experiment Engine ====
    267272
    268273The GENI Experiment Engine is a Platform-as-a-Service programming environment and storage system running on the InstaGENI infrastructure. In this demonstration, we will be showing single pane-of-glass control of distributed application running across the GEE Infrastructure, using the GEE Message System for coordination and the GEE Filesystem to deploy data and results.