CIO Business Intelligence

MARCH 14, 2022

Similarly, a company may decide to keep its most critical data – everything from financial records to engineering files – local where it can protect this data best. Thus, teams need to able to store, process, and manage real-time data in their own data centers. Real-World Results for Real-time Data.

Data 116

Data Artificial Intelligence Intel Data Center 116

Data Center Knowledge

JULY 17, 2013

The user level elements that are managed within such an IaaS cloud are virtual servers, cloud storage and shared resources such as load balancers and firewalls. The advantages of on-demand usage and billing, fast provisioning and agility can make an IT environment much more productive than before. Modular Data Centers.

Data Center 203

Data Center Cloud Data Applications 203

Data Center Knowledge

JULY 23, 2013

One cloud computing solution is to deploy the platform as a means for disaster recovery, business continuity, and extending the data center. With a well-planned deployment, and a good infrastructure, companies can efficiently load-balance their IT environment between multiple active, cloud-based, sites.

Cloud 250

Cloud Disaster Recovery Data Center Backup 250

Fountainhead

DECEMBER 8, 2009

Insights into Data Center Infrastructure, Virtualization, and Cloud Computing. Last week I attended Gartners annual Data Center Conference in Las Vegas. The next step is to define in software the converged network, its switching, and even network devices such as load balancers. Fountainhead.

Data Center 113

Data Center Virtualization Load Balancer Network 113

Scott Lowe

SEPTEMBER 11, 2014

He starts the discussion by talking about NFV and SDN, and how these efforts enable agile networks on standard high volume (SHV) servers (such as microservers). Workloads are scheduled across these server/linecards using Valiant Load Balancing (VLB). IDF 2014: Data Center Mega-Session.

Load Balancer 60

Load Balancer Intel Network Hardware 60

Dataconomy

AUGUST 6, 2023

As we continue to unveil the mysteries of the universe, optimize our technological processes, and refine our understanding of complex systems, parallel processing stands as a steadfast partner in our journey, allowing us to navigate through the intricacies of data and algorithms with newfound agility and precision.

Artificial Intelligence 36

Artificial Intelligence Architecture Applications Data 36