Changes between Version 52 and Version 53 of GEC22Agenda/EveningDemoSession
- Timestamp:
- 01/31/15 16:08:58 (9 years ago)
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GEC22Agenda/EveningDemoSession
v52 v53 91 91 92 92 ==== PrimoGENI ==== 93 94 93 ''This demo shows a working prototype of !MyExperiment, a full-functioning public online model repository for PrimoGENI. Visit us to learn about network experiments that combine simulation and emulation on GENI.'' 95 94 … … 98 97 Participants: 99 98 * Jason Liu, liux@cis.fiu.edu, Florida International Univ. 99 100 100 ==== !CloudLab ==== 101 101 ''This demo shows a platform for research into new cloud architectures and applications. Visit us if you're interested in the future of the cloud. '' … … 117 117 118 118 ==== Enhancing OpenFlow Networks with Service Insertion and Payload Inspection ==== 119 120 119 ''This demo shows a working prototype of an application-aware video reconditioning service. Visit us to learn about building value-added network services, such as a context-sensitive service for prioritizing public safety applications or a security service that detects and eliminates malware embedded in unwary user traffic.'' 121 120 … … 139 138 ==== O3 Network Orchestrator Suite "ODENOS" ==== 140 139 141 *''Th edemo shows network virtualization (with control delegation) over a wide-area network consisting of multiple vendor/admin domains and multiple layers (optical and packet). Visit us to learn about building SDN controllers.''140 *''This demo shows network virtualization (with control delegation) over a wide-area network consisting of multiple vendor/admin domains and multiple layers (optical and packet). Visit us to learn about building SDN controllers.'' 142 141 143 142 There will be an increasing demand from OTT providers that would like to use carrier wide-area networks with fine-grain control. However, creating an SDN controller for a wide-area network is already hard; A typical wide-area network consists of multiple vendor/admin domains and multiple layers (e.g., optical and packet) and providers would like to have unified control over them. Creating multiple virtualization slices is even harder. ODENOS allows us to create such an SDN controller easily from building blocks. … … 146 145 * Masayoshi Kobayashi, mkobaya1@stanford.edu, Stanford Univ. 147 146 148 ==== Hadoop in a Hybrid Cloud ====149 *''This demo shows how to prepare a cross-domain Hadoop cluster with virtual machines in GENI. Visit us to learn how to use this model to manage large data sets.''150 151 Hadoop is a !MapReduce implementation for processing and generating large data sets. Combined with the ubiquitous, on-demand, and dynamic resources at low cost from cloud computing, we can build an environment with great potential to process big data. However, using Hadoop on the cloud spends time, requires technical knowledge from users, and, sometimes, the private cloud is not able to allocate all the resources needed. The hybrid cloud is composed of public and private clouds and, when necessary, the resources in the public cloud are used. Therefore, the simultaneous management of private and public domains requires an appropriate model that combines performance with minimal cost. Our proposition is to deploy an architecture to facilitate the orchestration of Hadoop applications in hybrid clouds. The core of the model consists of a submission web portal, an orchestration engine, and an execution services factory. These components will orchestrate the creation of virtual machines for the Hadoop clusters in the private cloud. Through these components it is possible to automate the preparation of a cross-domain cluster, and, when it is needed, to allocate virtual machines at the GENI platform, and make it useful for the cloud users.152 153 Participants:154 * Guilherme Russi, luisguilherme.cr@gmail.com, Instituto de Pesquisas Eldorado155 147 156 148 ==== GENI Desktop ==== … … 358 350 * Niky Riga, nriga@bbn.com, GENI Project Office 359 351 352 ==== Hadoop in a Hybrid Cloud ==== 353 ''This demo shows a working prototype for a hybrid cloud between State University of Campinas, Brazil, University of Missouri-Kansas City, and the GENI platform. Visit us if you are interested in cloud computing and big data.'' 354 355 Hadoop is a !MapReduce implementation for processing and generating large data sets. Combined with the ubiquitous, on-demand, and dynamic resources at low cost from cloud computing, we can build an environment with great potential to process big data. However, using Hadoop on the cloud spends time, requires technical knowledge from users, and, sometimes, the private cloud is not able to allocate all the resources needed. The hybrid cloud is composed of public and private clouds and, when necessary, the resources in the public cloud are used. Therefore, the simultaneous management of private and public domains requires an appropriate model that combines performance with minimal cost. Our proposition is to deploy an architecture to facilitate the orchestration of Hadoop applications in hybrid clouds. The core of the model consists of a submission web portal, an orchestration engine, and an execution services factory. These components will orchestrate the creation of virtual machines for the Hadoop clusters in the private cloud. Through these components it is possible to automate the preparation of a cross-domain cluster, and, when it is needed, to allocate virtual machines at the GENI platform, and make it useful for the cloud users. 356 357 Participants: 358 * Guilherme Russi, luisguilherme.cr@gmail.com, Instituto de Pesquisas Eldorado 359 360 360 === Wireless Networks and Applications === 361 361