6:30 - 7:00 PM Networking & Refreshments
Speaker: Muthurajan Jayakumar (M Jay)
Bio: M Jay joined Intel in 1991 and has been in various roles and divisions with Intel – 64 bit CPU front side bus architect, 64 bit HAL developer to mention a few before DPDK team. M Jay has worked with the DPDK team from 2009 onwards. M Jay holds 21 US Patents, both individually and jointly, all issued while working in Intel. M Jay was awarded the Intel Achievement Award in 2016, Intel's highest honor based on innovation and results.
Title: Cloud Data Center – Architecture, Protocol and Design Trade Off Choices
Speaker: Mark Douglas
Bio: Mark Douglas is a Distinguished Member of Technical Staff at NXP Semiconductors. Networking Group, Software and Tools Field Applications Engineer, 28 years in Embedded and Networking in the San Jose Bay Area. Working with major networking companies in appliance deployment specificly with bootloaders, O/Ss, VMs and tools. Currently engaged in all things concerning virtualization benchmarking. Previously with Red Hat, Inc.
Title: Challenges for Next Generation Fog and IOT Computing: Performance of virtual machines on edge devices
1) traditional access-point features along with
2) ”on demand” content delivery capabilities, there is a driving need to investigate new approaches in platform architectures for future edge devices.
One approach to solving these growing feature consolidation demand trends is to utilize the partitioning qualities found in virtualization techniques for these new edge designs. Virtualization is common in the Cloud and other compute server environments. Providing instant content and internet access at the edge of the network is defined as Fog Computing. With fog computing, virtual machine (VM) feature partitioning and capability must be optimized for isolation of features. The performance of these consolidated/partitioned features in various guest VMs and performance optimized I/O for file systems and network interfaces is critical. As IoT continues to grow, access points and other edge equipment for IoT devices will evolve into consolidated Fog Servers with multiple features running on the same SoC. These VMs will both share and directly map storage devices and networking interfaces respectively. The introduction of Fog servers have VM demands not seen in the past for equipment at this point in the network. Currently available SoC devices based on ARMv8 64-bit technology, along with a Fog-optimized software architecture with proper feature partitioning and consolidation can in fact achieve these functional requirements for next generation Fog computing systems.
This presentation will summarize the platform requirements for Fog computing and then show performance data for VM use cases for memory and network devices. The data shows that Fog computing consolidation is all very possible with existing SoC multicore architectures and the VM over-head incurred in their deployment is very acceptable for these devices.