Enabling P4 Network Telemetry in Edge Micro Data Centers With Kubernetes Orchestration

Integrating computation resources with networking technologies is an hot research topic targeting the optimization of containers deployment on a set of host machines interconnected by a network infrastructure. Particularly, next generation edge nodes will offer significant advantages leveraging on integrated computation resources and networking awareness, enabling configurable, granular and monitorable quality of service to different micro-services, applications and tenants, especially in terms of bounded end-to-end latency. In this regard, SDN is a key technology enabling network telemetry and traffic switching with the granularity of the single traffic flow. However, currently available solutions are based on legacy SDN techniques, not enabling the matching of tunneled traffic, and thus require a tricky integration inside the hosts where containers are deployed. This work considers Kubernetes clusters deployed on next generation edge micro data center platforms and proposes an innovative SDN solution exploiting the P4 technology to gain visibility inside tunnelled traffic exchanged among pods. This way, the integration is achieved at the control plane level through the communication between Kubernetes and the SDN controller. The proposed solution is experimentally validated including a comprehensive framework enabling effective traffic switching and in-band telemetry at pod level. The major paper contributions consist in the design and the development of: (i) the networking applications at SDN control plane level; (ii) the P4 switch pipeline at the data plane level; (iii) the monitoring system used to collect, aggregate and elaborate the telemetry data

A New Edge Micro Data Center and its Passive Thermosyphon Cooling System at TUe:Cooling System Thermal Performance Tests

A new innovative Edge Micro Data Centre and its new passive two-phase cooling system are presented here. EMDC's are hyperconverged heterogenous hardware capacities ranging from 1.8kW up to 500kW. HIRO, providing Powerfull Edge as a Service (PEaaS) is seeking very high cooling energy efficiency (PUE approaching 1.0) and solutions to re-use waste heat from their locally installed EMDC's and edge services that are supporting the big data processing and AI of their customers (smart hospitals, Industry 4.0, 5G/6G MEC, smart cities, smart energy grids). The smallest EMDC with 11 nodes (8 processing and acceleration, 1 ethernet switch, 1 PCIe switch and DC power) is used in the test setup. The gravity-driven loop thermosyphon cooling system is composed of a compact monoblock for insertion and cooling of 11 EDMC nodes, a riser and downcomer and a compact aircoil condenser cooled by several fans (or by natural convection). The heat of the EDMC nodes is removed by 11 thermal bridges in the monoblock evaporator. In demonstration “stress” tests run at TUe in The Netherlands, monitoring all individual node temperatures and energy consumptions, the cooling system achieved very high cooling performance during all the tests. Defining the PUE here to be equal to the total energy consumption including fans divided by that of only the computer itself, at maximum heat load the PUE was only 1.034 while at medium heat loads using lower fan speeds values as low as 1.007 were recorded and at heat loads of 186 W and below, the fans could be turned off for completely passive cooling operation

Predicting COVID-19 infection risk in people who are immunocompromised by antibody testing.

People with blood cancers have an increased risk of severe COVID-19 disease despite booster vaccine doses.1 This group, like other disease groups at increased risk of severe COVID-19, includes individuals with highly heterogeneous immune responses to vaccination.2 Although vaccine response studies and population studies identify similar diseases and treatments associated with increased risk of severe COVID-19, a direct correlation between antibody levels after vaccination and infection risk has been difficult to define. Identification of a laboratory correlate of infection risk would allow doctors and policy makers to target additional COVID-19 treatment or prophylactic efforts to people who are most in need

Impaired immune responses in blood cancers improved by third COVID-19 vaccine dose

Despite the gradual lifting of COVID-19 restrictions worldwide, a cloud continues to hang over immunosuppressed people, who may not develop protective immune responses after vaccination. In particular, people with hematological malignancies are at greater risk of severe COVID-19 disease despite vaccination1. Multiple studies have identified risk factors associated with poor vaccine responses, but most are compromised by intrinsic limitations in study design. Assessment of paired humoral and cellular responses in a large and clinically homogeneous cohort is critical to allow accurate characterization of vaccine immune response in these people. The other major concern in this population is whether the antibodies induced by vaccination will be effective against the SARS-CoV-2 variants of concern

1080P HD Video Transmission using RTD Transmitter

In this paper, we present low cost THz wireless transmission system utilizing 278GHz resonant tunneling diode (RTD) transmitter (Tx) with around ImW output power. The demonstration shows 12Gbps error free and 1080p30 (3Gbps) HD video real time transmission over 80 cm distance. These results demonstrate very promising future of RTD Tx for next generation wireless communication system

22Gbps/80cm Low-Cost THz Wireless System

No abstract available