Users Cite Management Challenges With Network Virtualization
EMA research has found the majority of early adopters have management challenges with NV and SDN.
EMA research has found the majority of early adopters have management challenges with NV and SDN.
Thanks to all who submitted questions to the Brocade Mega NFV Report Report Pt 2 where we learned about innovative Brocade vEPC solutions.
Well you found it if you were looking for it. If you are using the Golang net package and need to set a specific source port for the UDP or TCP dial functions, then look no further. Why might you want to control your source port and not leave it to random selection in the range of 1024-65535? Some server software might be hardwired to listen to communications coming from a specific source port and might not respond to packets originating from any other source port on a client. With the IoT world growing rapidly, this issue bit me recently and I didn’t figure it out immediately. Maybe it’s my old school brain not being down with the kids. Who knows. Solved it in the end, so sharing here to help you!
It was late on a Saturday night
Pizza had been eaten. Pepsi was being consumed. A crazy Saturday evening one would say. Alas, a friend and I had decoded the communications of an IoT device and wanted to write some better client software. The software client happened to carry out discovery using a specific source port destined to the same port, then when the mode changed from discovery Continue reading
One of the advantages of EIGRP Feasible Successor is that it speeds up the EIGRP. In fact, if there is a Feasible Successor in the EIGRP network, such network converges faster than OSPF or IS-IS. But what is EIGRP Feasible Successor and how can we find EIGRP Feasible Successor? Or, if there is EIGRP Feasible […]
The post EIGRP Feasible Successor appeared first on Cisco Network Design and Architecture | CCDE Bootcamp | orhanergun.net.
Training a machine learning algorithm to accurately solve complex problems requires large amounts of data. The previous article discussed how scalable distributed parallel computing using a high-performance communications fabric like Intel Omni-Path Architecture (Intel OPA) is an essential part of what makes the training of deep learning on large complex datasets tractable in both the data center and within the cloud. Preparing large unstructured data sets for machine learning can be as intensive a task as the training process – especially for the file-system and storage subsystem(s). Starting (and restarting) big data training jobs using tens of thousands of clients …
Lustre to DAOS: Machine Learning on Intel’s Platform was written by Nicole Hemsoth at The Next Platform.
A primer on the 802.11 wireless protocol and when to implement it.
Proximity is everything.