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Feb 26, 2019 (Euclid Infotech Ltd by artery of COMTEX) -- Hewlett Packard enterprise (HPE) announced the HPE Edgeline EL8000 Converged edge gadget to aid communique carrier providers (CSP) capitalize on facts-intensive, low-latency features for media beginning, connected mobility, and sensible cities. the brand new gadget makes it practicable for CSPs to system significant quantities of facts in real time without retard at the edge, based on open necessities to boost flexibility and in the reduction of prices. HPE also announced collaborations with Samsung and Tech Mahindra to accelerate CSPs 5G adoption, leveraging the HPE Edgeline EL8000 Converged section gear to installation the next technology of aspect-centric digital 5G functions.
IDC forecasts that more than a hundred and fifty billion devices can breathe related throughout the globe through 2025, most of which can breathe developing information in exact time. due to this fact, IDC predicts real-time records to symbolize just about 30 p.c of the world Datasphere by means of 2025. Estimated to breathe 33 zettabytes in 2018, IDC forecasts the global Datasphere to grow to one hundred seventy five zettabytes by artery of 2025. 
To bring new services that tap into this massive growth of true-time information, CSPs ought to transform their telecommunications network side towards general IT techniques and utility-described architectures, comparable to virtual radio access networks (vRAN) and digital cable modem termination methods (vCMTS). The open-requirements based HPE Edgeline EL8000 Converged side gear changed into therefore developed as a cost beneficial alternative for CSPs existing proprietary edge methods, with stronger performance and flexibility for records-intensive real-time digital capabilities. moreover, the HPE Edgeline EL8000 Converged aspect systems bewitching design gives you excessive performance and ultra-low latency for essentially the most disturbing expend circumstances, together with media streaming, IoT, synthetic intelligence, and video analytics, in a compact and ruggedized contour factor, outfitted with facet-optimized serviceability and far flung systems administration.
CSPs absorb advance a long manner in virtualizing their networks. As this continues, the distribution of converged communications and compute faculty any through the community will hasten up lessen expenses and enhance provider, talked about Dr. Tom Bradicich, vice chairman and regular supervisor, Converged Servers, section and IoT systems, HPE. The HPE Edgeline EL8000 Converged aspect system gives you the capabilities of closed proprietary techniques and more, however on an open-standards platform, mixed with proven statistics-core kind IT.
Designed for the real-existence challenges of the telecommunications community part
The expansive growth of facts volumes requires that CSPs deploy high-efficiency facet methods in their cell sites, commonly in remote and ferocious environments. in addition, this infrastructure must aid many workload and nice-of-service requirements for which tailor-made slices of the community are employed. The HPE Edgeline EL8000 Converged side gadget provides an extraordinary aggregate of capabilities to fulfill these challenges, together with:
- Compact and ruggedized design optimized for harsh cellphone-website areas Exceeding the necessities of trade requirements NEBS and ASHRAE class 3 and 4, the system is resistant towards hazardous environmental influences enjoy heat, shock and vibration, as well as failover, aiding perpetual operation between 0 and 55 degrees Celsius. The gadget can flee rack mounted or stand-on my own in any zone purchasable, with both a front-to-back and returned-to-entrance cooling design.
- Low-latency, high-efficiency gadget design powers facts-intensive applications on the side the only-socket design, outfitted with excessive-conclusion Intel Xeon Scalable Processors, reduces latency and energy consumption. device add-ons will also breathe combined, scaled and sizzling-swapped to fulfill altering demands, assisting, amongst others, NVIDIA Tesla GPUs, FPGAs from Intel and Xilinx, NICs from Intel or Mellanox, up to 1.5TB of remembrance and 16TB of storage.
- Modular blade and chassis options to breathe used-case flexibility With more than a few depth and width alternate options for blades and chassis, the system will also breathe flexibly configured and scaled to meet new or altering use-case necessities. The elastic design allows CSPs to extend small- and micro-mobilephone deployments, making certain that mobile insurance can retain pace with expanding numbers of linked devices.
- One-click on provisioning and faraway methods management ensures continuous availability and performance in far-flung mobile-sites HPEs proven HPE iLO 5 technology and the newly developed chassis manager software permit far off provisioning, ongoing device health monitoring, updates, and administration of HPE Edgeline EL8000 Converged side techniques throughout heaps of cellphone websites, from mobile towers to oil rigs, devoid of desiring IT talents on web site.
Collaboration between HPE and Intel has resulted during this multifarious platform for network transformation at the side, observed Sandra L. Rivera, Senior vice chairman and customary supervisor, network platforms group, Intel. Powered via Intel Xeon Scalable processors and in keeping with open requisites, the HPE Edgeline EL8000 Converged aspect gear will enable excessive performance, elastic and intelligent networks that are required to carry elevated bandwidth and low latency for edge and 5G functions.
HPE collaborates with Samsung and Tech Mahindra to drive transformation of the network area
To aid CSPs accelerate their 5G transformation, HPE and Samsung Electronics business enterprise (SEC) are collaborating to supply a joint side-to-core vRAN business solution based on Samsungs radio community applied sciences and system integration services, and the HPE Edgeline EL8000 Converged facet equipment.
HPE OneView, previously known as HP OneView, is a converged infrastructure administration platform that provides a unified interface for the administration of software-described techniques in an information middle.
through the separate interface, every now and then called a separate pane of glass, administrators can automate management and renovation projects that historically absorb been performed manually and required a few diverse tools. OneView can exploit actual systems in the statistics middle such servers, storage arrays and networking connectivity.Product history
The then-named Hewlett-Packard (HP) Co. spent 4 years -- and labored with more than 150 of its valued clientele in 30 statistics centers around the globe -- to boost OneView as a administration platform for its BladeSystem and ProLiant era 7 and 8 servers. When the product changed into released in 2013, it was supposed to create management and deployment of converged infrastructure in keeping with HP servers less demanding and sooner than primitive methods.
When Hewlett-Packard split into two organizations in 2014, the computing device and printer company strains grew to become HP Inc., whereas the commercial enterprise items and functions business lines became Hewlett Packard business (HPE). OneView, being an enterprise product, was renamed HPE OneView.
HPE OneView 4.0, released in January 2018, supports the ProLiant DL line of rack servers and the BL blade servers, from technology 6 through 10 for monitoring, and Gen7 and Gen8 for both monitoring and virtualization.Key facets
HPE OneView features comprehend here:
HPE OneView comes with built-in add-ons beyond the management console, including SmartSearch, MapView and recreation Feed.
SmartSearch allows IT administrators to peruse for recommendation using a search engine that can autofill because the searcher kinds, a all lot enjoy a client search engine equivalent to Google.
MapView suggests an administrator a visual representation of the connection between gadgets under OneView administration, together with connections and present popularity.
activity Feed is a crew collaboration device that allows for for messaging and project administration and is the set hardware alert messages are mentioned.Pricing
The regular version of HPE OneView is free to HPE consumers, whereas the advanced edition is licensed for each physical server under the OneView management appliance.
Any HPE customer with a Passport account can down load the OneView administration appliance application and both the usual or superior version of HPE OneView.
John Busshart, an Ingram MicroHPE concede engineer, explains howthe HPE OneView platform works.
The run-of-the-mill version comprises inventory, health monitoring, alerting and reporting capabilities for ProLiant DL and BL blade servers, from generation 6 via 10, as well as HPE Apollo systems. It doesn't aid virtualization and does not consist of updates or provider, making it only a monitoring platform.
The charge-primarily based HPE OneView advanced edition is licensed per physical server under the OneView management appliance and comprises any of the facets within the indifferent version as well as virtualization features, however handiest for Gen8 and Gen9 HPE servers. It also contains 24/7 aid, updates and entry to internet-based mostly practicing.
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Software-Defined Networking (SDN) is a concept that has emerged in recent years to decouple network control and forwarding functions. SDN promises to enable a manageable and cost-effective network that fits the needs of high-bandwidth applications. Most published SDN-related information talks about Ethernet networks and describes the pains to adjust Ethernet to the needs of today’s applications.
The one network kind that does not require special pains to adjust it to the computational needs of high-performance computing, profound learning or any other data intensive application is InfiniBand. InfiniBand was specified (in 1999) as the ultimate software-defined network, long before the term SDN was coined.
InfiniBand networks can breathe fully controlled and managed by a software factor called a subnet-manager. Unlike Ethernet, InfiniBand does not absorb different kinds of network switches, such as “top of rack” or “aggregation level” switches, because it uses the identical structure block to create any size of infrastructure—from a minute cluster to an Exascale platform, and to contour a sort of network topology. InfiniBand does not carry the complicated network algorithm baggage that Ethernet does, which becomes more onerous from generation to generation, and creates performance and cost burdens on the Ethernet infrastructure. Moreover, InfiniBand switch latency is 3 times better than the best Ethernet switch on the market today (and probably in the future too), and InfiniBand networks can breathe 30 percent or more better cost effective than the bandwidth equivalent Ethernet network.
20 years ago, there were two leading proprietary networks in the world of HPC: Myrinet from Myricom and QsNet from Quadrics. Looking back, one of the mistakes both vendors made was to switch from a full proprietary network to using Ethernet as the underlying network and to flee their proprietary transport over Ethernet, tying their roadmap to Ethernet. The understanding for this amble was clear: reducing the R&D efforts needed to develop a network. But the cost was high: Performance limitations, adding complexity and scaling issues due to Ethernet. As a result, Myrinet and QsNet fell behind InfiniBand—a network that was designed for data-intensive applications. As a side note, Quadrics became defunct in 2009. Their IP was later used by Gnodal to create Ethernet switches running the Quadrics protocol inside the switch. But Gnodal did not succeed and was defunct in 2013. Also, the identical IP is now being used by one of the HPC system vendors for their new proprietary interconnect, which again is trying to flee a proprietary network transport over Ethernet, in spite of the failure of previous attempts.
Beyond elevated latency, which escalates with the size of the network infrastructure, Ethernet also suffers from congestion control (such as ECN and QCN) and routing schemes that enact not suitable dynamic HPC and AI workloads. A vendor trying to expend Ethernet as the basis for proprietary network transports will necessity to invest in developing proprietary protocols to handle these issues, which is complicated and leads to overall lower performance.
The InfiniBand specification is handled by IBTA (InfiniBand Trade Association); as an industry standards-based interconnect technology, InfiniBand is proven to provide forward and backward compatibility across generations of technology. As the ultimate software-defined network, InfiniBand provides low latency, smart routing and congestion-avoidance mechanisms together with the faculty to champion vendor-defined In-Network Computing acceleration engines. In-Network Computing transforms the data heart interconnect into a “distributed co-processor” able to handle and accelerate the performance of various data algorithms, such as reductions and more.
In-Networking Computing is the heart of today’s and tomorrow’s data-centric data centers. Firstly, it provides the faculty to offload any network functions from the CPU to the network. And secondly, it allows offloading various data algorithms. Examples are Mellanox Scalable Hierarchical Aggregation and Reduction Protocol (SHARP)™ technology, interconnect-based MPI Tag Matching and Rendezvous protocol network engines, and more.
In looking at InfiniBand routing schemes, InfiniBand provides a very efficient and robust fine-grained adaptive routing. For known application patterns, InfiniBand enables supercomputer managers to expend perfectly matched static routing schemes, and to easily optimize them for their needs. For supercomputing infrastructures supporting a wide variety of HPC and AI workloads, InfiniBand offers adaptive routing. InfiniBand also ensures trustworthy data delivery and does not drop packets.
Oakridge National Laboratory’s (ORNL) climax supercomputer and Lawrence Livermore National Laboratory’s (LLNL) Sierra supercomputer reflect the DoE Exascale architecture path and are ranked number 1 and number 2 on the November 2018 TOP500 supercomputers list. These systems leverage InfiniBand for its elevated throughput, low latency, routing protocols, and In-Network Computing engines to deliver an efficient and scalable computing infrastructure. In a paper titled “The Design, Deployment, and Evaluation of the CORAL Pre-Exascale Systems,” people from Oak Ridge and Lawrence Livermore labs explore the performance advantages of the InfiniBand network, including the performance of InfiniBand adaptive routing technology.
Figure 1 and figure 2 showcase the testing results on the climax supercomputer. These results are based on the Bisection bandwidth benchmark MpiGraph, which explores the performance of MPI process pairs in full permutations. figure 1 presents the histogram results, in which adaptive routing showcases that any MPI pairs achieve nearly maximum bandwidth, while static routing suffers from congestion that limits data bandwidth. figure 2 highlights the identical results differently, where lighter colors depict less variation and data traffic congestion between pairs of nodes. Adaptive routing in InfiniBand sustains 96% network utilization at a large scale (this is the fastest supercomputer in the world today). This flat of network utilization is higher than other existing networks, and future proprietary networks on paper.
Figure 1 – MpiGraph Performance Results of InfiniBand – Demonstrates the Performance Advantages of Adaptive Routing over Static Routing
Figure 2 – MpiGraph Performance Results of InfiniBand – Demonstrates the Performance Advantages of Adaptive Routing over Static Routing
Another aspect of InfiniBand is its faculty to champion any network topology one can design. For example, InfiniBand is being used to contour Fat-Tree (CLOS) topologies, Hypercube and Enhanced Hypercube, Torus, Mesh, Dragonfly+ and more. The InfiniBand Dragonfly+ topology enables lower latency versus other Dragonfly topologies used in proprietary networks. The current HDR 200 gigabit InfiniBand solution can connect more than 160 thousand endpoints with the Dragonfly+ topology at 3 switch connection hops. And the upcoming NDR 400 gigabit InfiniBand technology can connect more than 1 million endpoints in the identical manner.
By leveraging the economy of scale, and the scale of performance, InfiniBand is the leading interconnect solution for the Exascale era.
The worlds of IT and operational technology are sometimes separate, but these days they often converge. Internet of Things data from connected devices is often collected by OT systems; for businesses to create the most of that data, they necessity to anatomize it in real time.
Hewlett Packard Enterprise is aiming to attend businesses anatomize data more efficiently by introducing what it calls “Software Defined OT.” The new software product makes HPE’s open, x86 Edgeline Systems and OT functions software-defined.
The goal is to create it easier for businesses to anatomize data, including IoT data, at the network edge — the world beyond a company’s data center, close to discontinue users.Collecting OT Data from Connected Devices
Operational technology, Gartner notes, “is hardware and software that detects or causes a change through the direct monitoring and/or control of physical devices, processes and events in the enterprise.”
“We’re on the front lines powering the intelligent edge as your enterprise stretches from deeply connected digital workplaces to intelligently monitored operations to transformative experiences for your customers,” HPE CEO Meg Whitman said at the HPE ascertain 2017 conference in Las Vegas this week.
“We’re getting more and more data at the edge, so that data doesn't absorb to travel back and forth to the data heart or to the cloud, and the reality is that often data has to breathe captured and analyzed at the edge, reducing latency,” Whitman added.
In a company blog post, Ron Neyland, HPE’s senior director of software and solutions, and Tom Bradicich, HPE’s vice president and general manager of servers, converged edge and IoT systems, consume a profound dive into HPE’s vision for merging IT and OT.
They note that a main source of OT data comes from connected devices “and is related to OT functions such as control systems, direct wired data acquisition systems, and industrial networks. This convergence of OT and IT is driving new products and services that optimize business operations, address engineering challenges, and accelerate scientific discovery.”
Even as IT and OT converge, Neyland and Bradicich note that “you can’t act on the data you can’t analyze, you can’t anatomize data you don’t collect, and you can’t collect what you don’t measure.”
HPE refers to the steps of this data collection process as the 3 As: acquire, anatomize and act. “One of HPE’s strategic missions is to attend customers acquire, analyze, and act on the data across their operations,” Neyland and Bradicich write. “This data can advance from the far extremes of their operational universe, the intelligent Edge, or from their data centers and clouds.”HPE’s New Software-Defined OT Platform
About a year ago, HPE launched its Edgeline Converged Edge Systems, which attend integrate both OT and IT. Via that solution, OT controls, data capture and industrial network systems are combined with computing, storage, remote systems management, any in one box. That gives businesses a “smaller footprint, fewer items to buy, deploy, and manage, lower energy, and higher reliability,” Neyland and Bradicich note.
The new software-defined OT solution includes several elements. The key piece is HPE Edgeline Services Platform, which serves as the foundational software upon which HPE and its partners deliver applications and services that enable HPE to implement IoT solutions. The goal is to absorb those IoT operations flee at the edge — in factories, refineries, vehicles and end-user devices.
The solution also includes the HPE Edgeline Data Aggregation App, an OT app that ingests and combines data from multiple existing or new OT devices (such as programmable logic controllers (PLCs) and supervisory control and data acquisition (SCADA) systems) and aggregates it in a separate data collection.
Further, the platform includes the HPE Edgeline Address Translation App, which converges the job of network address translations from a larger network (for instance, within an entire factory) to one or more subset networks (such as a specific manufacturing line in a factory). That app uses a software-defined configuration to control its activities, which means it can breathe easily managed and orchestrated remotely, note Neyland and Bradicich.Using HPE's intelligent Edge Tech in the real World
HPE highlights a case study of how this benevolent of technology can work. The company worked with Texmark Chemicals, a family-owned chemical processing plant in Galena Park, Texas, to create a “refinery of the future.”
“By creating a more connected and automated refinery, Texmark is gaining new analytic insights into areas such as asset tracking and lifecycle management, predictive maintenance, worker safety, video analytics and more,” says JR Fuller, HPE’s worldwide business progress manager for IoT Edgeline.
Texmark’s refinery, enjoy many other refineries, is a harsh environment that requires specialized gear to avoid chemicals or gases from interacting with electrical machinery that could spark.
“This potentially lethal combination makes installing basic technology nearly impossible,” Fuller wrote. “In Texmark’s case, the plant had been running the identical low-level communications protocols for more than 40 years because the alternatives required an unacceptably elevated flat of power and risk.”
HPE helped by installing an Aruba instant wireless access point in a heavy-duty box designed for deployment in hazardous conditions, allowing it to implement Wi-Fi in the plant. That made it practicable to deploy Aruba Bluetooth Low Energy beacons and Meridian location-based software, which in rotate enabled services within the refinery such as indoor-outdoor wayfinding and location-based services and content. Texmark can expend data from those services, Fuller notes, to automate processes and attend ensure workers are operating in a safe environment.
Edge computing, processing data at the edge, allows companies to “respond more rapidly to anomalies,” Fuller notes.
“Before the advent of edge computing, analyzing video sensor data from industrial sites wasn’t economically feasible, since it required sending extremely large video files to remote data centers for processing,” Fuller notes. “By installing HPE Edgeline EL4000 converged edge systems onsite, Texmark can effect near-real-time advanced video analytics on the video as it is streaming.”
Read articles from BizTech coverage of HPE ascertain 2017 here.
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