公司规模
1,000+
地区
- America
国家
- United States
产品
- nGeniusONE Service Assurance platform
- nGenius Packet Flow Switches
- Fabric Manager Software
- nGeniusPULSE
- InfiniStreamNG appliances
技术栈
- Microsoft Office 365
- Cisco Webex
- Blackboard
- Microsoft Teams
- Zoom
- Google Classroom
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 实时分析
- 应用基础设施与中间件 - API 集成与管理
- 平台即服务 (PaaS) - 连接平台
适用行业
- 教育
适用功能
- 人力资源
- 物流运输
用例
- 远程协作
- 远程控制
- 远程病人监护
服务
- 云规划/设计/实施服务
- 数据科学服务
- 系统集成
关于客户
这个公立学区覆盖了北美最大的城市之一,拥有一万多名员工和数万名学生。这个分布广泛的学区拥有多年为多元化学生群体提供教育的经验。该学区经验丰富的领导团队认为,远程学习支持需求的急剧增加不是暂时的危机,而是转向混合学习模式的机会,实施基础设施,为所有学生和教职员工提供引人入胜、富有教育意义的体验,无论他们身在何处。
挑战
在远程学习增加和学校重新平衡校内教学的时期,学区面临着确保学生和教师获得高质量学习体验的挑战。他们需要在整个网络基础设施中提供故障排除可见性,并具有出色的平均解决时间 (MTTR)。这些系统上的网络流量大幅增长带来了监控挑战。特别具有挑战性的是到学生家最后一英里的性能和带宽可用性,以及用于在大型数据中心内对远程学习内容进行流量优先级划分的服务质量 (QoS) 标签,以及通过互联网到学生家的流量优先级划分。该项目的一个主要目标是实施和监控数据中心、学校和学生之间的 WAN 服务,以确保有足够的带宽,并验证 QoS 分配是否以正确的优先级类别交付应用程序。
解决方案
该学区已开始使用 nGeniusONE 服务保障解决方案,其中包括分布式 nGeniusONE 服务器和 nGeniusONE 备用设备。NETSCOUT® InfiniStreamNG® (ISNG) 设备部署在数据中心内外以及学校边缘,以检查入站和出站流量。IT 团队正在利用 NETSCOUT 的服务保障可见性来监控带宽、流量优先级和内容过滤。数据中心内的高容量链路由 NETSCOUT 5100 PFS 监控,包括 10gigE 和 40gig。PFS 通过 NS Fabric Manager 中的 NETSCOUT 图形界面进行管理,以便操作员能够快速使用工具并轻松更改监控网络。学校使用 nGeniusPULSE 测试数据中心软件即服务 (SaaS) 实施的登录,并测试托管在 Azure 上的 Windows 虚拟桌面接口 (VDI) 安装的性能。
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
IoT platform Enables Safety Solutions for U.S. School Districts
Designed to alert drivers when schoolchildren are present, especially in low-visibility conditions, school-zone flasher signals are typically updated manually at each school. The switching is based on the school calendar and manually changed when an unexpected early dismissal occurs, as in the case of a weather-event altering the normal schedule. The process to reprogram the flashers requires a significant effort by school district personnel to implement due to the large number of warning flashers installed across an entire school district.
Case Study
Revolutionizing Medical Training in India: GSL Smart Lab and the LAP Mentor
The GSL SMART Lab, a collective effort of the GSL College of Medicine and the GSL College of Nursing and Health Science, was facing a challenge in providing superior training to healthcare professionals. As clinical medicine was becoming more focused on patient safety and quality of care, the need for medical simulation to bridge the educational gap between the classroom and the clinical environment was becoming increasingly apparent. Dr. Sandeep Ganni, the director of the GSL SMART Lab, envisioned a world-class surgical and medical training center where physicians and healthcare professionals could learn skills through simulation training. He was looking for different simulators for different specialties to provide both basic and advanced simulation training. For laparoscopic surgery, he was interested in a high fidelity simulator that could provide basic surgical and suturing skills training for international accreditation as well as specific hands-on training in complex laparoscopic procedures for practicing physicians in India.
Case Study
Implementing Robotic Surgery Training Simulator for Enhanced Surgical Proficiency
Fundacio Puigvert, a leading European medical center specializing in Urology, Nephrology, and Andrology, faced a significant challenge in training its surgical residents. The institution recognized the need for a more standardized and comprehensive training curriculum, particularly in the area of robotic surgery. The challenge was underscored by two independent studies showing that less than 5% of residents in Italian and German residency programs could perform major or complex procedures by the end of their residency. The institution sought to establish a virtual reality simulation lab that would include endourological, laparoscopic, and robotic platforms. However, they needed a simulator that could replicate both the hardware and software of the robotic Da Vinci console used in the operating room, without being connected to the actual physical console. They also required a system that could provide both basic and advanced simulation training, and a metrics system to assess the proficiency of the trainees before they performed surgical procedures in the operating theater.
Case Study
Edinburgh Napier University streamlines long-distance learning with Cisco WebEX
• Geographically dispersed campus made in-person meetings costly and inconvenient.• Distance-learning programs in Malaysia, India, and China required dependable, user-friendly online tools to maximize interaction in collaborative workspaces.• Virtual learning environment required a separate sign-in process, resulting in a significant administrative burden for IT staff and limited adoption of collaboration technology.
Case Study
8x increased productivity with VKS
Before VKS, a teacher would spend a lot of time showing a group of 22 students how to build a set of stairs within a semester of 120 hours. Along with not leaving the teacher much time to provide one-on-one support for each student to properly learn carpentry, it also left a considerable amount of room for error. Key information would be misinterpreted or lost as the class was taught in the typical show-and-tell way.
Case Study
Scalable IoT Empowering GreenFlex's Sustainable Growth
GreenFlex, a company that supports sustainable development, decarbonization, and energy efficiency, faced several challenges in its quest to expand its business. The company needed to deploy a robust and sustainable IoT technology to support its growth. It was crucial for them to monitor and control devices at customer sites in a safe and reliable manner. They also needed to integrate devices across a range of communication protocols and gather and act on data to meet efficiency targets. GreenFlex had previously built IoT capabilities into its digital platform, GreenFlexIQ, to monitor and manage customer sites remotely. However, they soon realized that they needed a new platform to support their ambitions. They needed a platform that could scale to connect more devices for production management and make it easier for the operations team to manage devices in the field.