Sunday, August 23, 2020

IDC: Worldwide public cloud services market hit $233.4B in 2019

The worldwide public cloud services market, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), grew 26.0% year over year in 2019 with revenues totaling $233.4 billion, according to the International Data Corporation (IDC) Worldwide Semiannual Public Cloud Services Tracker.

"Cloud is expanding far beyond niche e-commerce and online ad-sponsored searches. It underpins all the digital activities that individuals and enterprises depend upon as we navigate and move beyond the pandemic," said Rick Villars, group vice president, Worldwide Research at IDC. "Enterprises talked about cloud journeys of up to ten years. Now they are looking to complete the shift in less than half that time."

Some highlights from IDC:

  • Spending continued to consolidate in 2019 with the combined revenue of the top 5 public cloud service providers (Amazon Web Services, Microsoft,, Google, and Oracle) capturing more than one third of the worldwide total and growing 35% year over year.
  • The public cloud services market has more than doubled since 2016. 
  • Since 2016, the combined spending on IaaS and PaaS has nearly tripled. 
  • Spending on IaaS and PaaS is expected to continue growing at a higher rate than the overall cloud market over the next several years.
  • In the combined IaaS and PaaS market, Amazon Web Services and Microsoft captured more than half of global revenues.
  • In the SaaS market, nearly three quarters of the spending is captured outside the top 5.

Tele2 deploys 25,000 5G-ready Ericsson base stations in Russia

Tele2 has now deployed 25,000 5G-ready base stations from Ericsson across Russia over the past 18 months. The update, which covers all 27 regions of Russia, has increased capacity and enhanced network performance by a factor of 1.7.

The deployment reflects about 50 percent of the five-year network modernization deal reached during MWC 2019 in Barcelona and follows the first 5G zone in the center of Moscow in August 2019.

Sebastian Tolstoy, Head of Ericsson in Russia, says: “Our development enables Tele2’s subscribers the opportunity to use mobile internet services in high quality. As all our network equipment in Russia supports an upgrade to 5G technologies through remote software installation, operators in Russia are able to launch new services as soon as they get the appropriate licenses. Ericsson’s 5G Innovation Hub in Moscow gives Russian service providers the opportunity to test innovations on live 5G and IoT networks. The Ericsson Academy, our training center co-located at the Innovation Hub, trains more than 1,000 specialists from Russian service providers and students each year”.

China Telecom tests Huawei's 5G Super Uplink + Downlink CA

China Telecom Shenzhen is testing 5G Super Uplink and dual carrier aggregation (CA) downlink technology from Huawei.

The pilot site uses 200 MHz 3.5 GHz TDD spectrum and 20 MHz 2.1 GHz FDD spectrum in the uplink. Single-user concurrent tests were completed in standalone (SA) networking mode. The results of the test showed that the average uplink rate reached 470 Mbps and the average downlink rate 2.43 Gbps, which are approximately 1.3 times and double that with a single 100 MHz bandwidth, respectively.

Huawei claims 5G Super Uplink has notable advantages over uplink CA. Super Uplink enables integrated uplink scheduling between two uplink carriers in one cell. This scheduling mechanism is more efficient than uplink CA implemented between two cells. In addition, uplink and downlink bands are decoupled, enabling downlink carriers to be flexibly added to adapt to data traffic requirements. For example, CA can be disabled or implemented within one band or between two bands. As uplink CA depends on downlink CA and its bands must be a subset of downlink CA bands, uplink CA cannot be used in the cases of asymmetric uplink-only bands, further highlighting the greater flexibility of Super Uplink.

Tektronix debuts optical transceiver test platform

Tektronix introduced its new 8 Series sampling platform, a disaggregated modular instrument series boasting parallel acquisition, with up to 4 channels per mainframe and the highest measurement accuracy for PAM4 optical signals on multiple inputs simultaneously.

The 8 Series consists of the TSO820 Sampling Oscilloscope Mainframe, optical sampling modules, and TSOVu, a new software platform that runs independent of the mainframe on host PC for both live and offline processing of acquired data. Tektronix also introduces the TCR801, an external optical clock recovery module which covers dual band ranges around both 26GBd and 53GBd. These instruments and software provide a platform solution for fast acquisition and analysis.

"Our customers are facing new challenges with the increased demand for bandwidth and network capacity," says Matt Ochs, General Manager of the Performance Portfolio at Tektronix. "The 8 Series helps solve critical problems by delivering a scalable platform that reduces test times, while also providing fast, accurate and repeatable test results."

NTT develops its edge computing machine learning

NTT is developing an asynchronous distributed deep learning technology based on machine learning at the network edge.

NTT's research is focused on a training algorithm to create a global model of IoT data that is processed and stored at the edge.

NTT says its proposed technology, which has both academic and practical interest, enables to obtain a global model (a trained model that uses all the data at a single place) even when (1) statistically nonhomogeneous data subsets are placed on multiple servers, and (2) the servers only asynchronously exchange variables related to the model.

Details will be presented this week at KDD 2020 (Knowledge Discovery and Data Mining), an international conference sponsored by the Association for Computing Machinery (ACM) (16.9% acceptance rate). We also published the code associated with our achievement on Github for verification of our method effectiveness.