LONDON, June 4, 2020 /PRNewswire/ --Open source software (OSS) serves as the foundation of IT infrastructure worldwide, allowing e-commerce platforms and innovative over the top (OTT) players to bring services to market quickly. OSS is gradually driving the innovation agenda for communications service providers (CSPs), and by extension, it is now challenging the dominance of proprietary solutions in the telecoms industry. OSS holds the potential to play a key role in telco cloud deployments, a market that will potentially grow to US$29 billion by 2025, finds global tech market advisory firmABI Research.

CSPs that wish to keep abreast with OTT and web scale companies may have to implement the same technologies and agile processes to stay competitive and rapidly innovate. OSS and by extension, cloud technologies, promise nimbleness, but whether CSPs can seize the opportunity remains to be seen. Telecoms are driven by standard bodies that have long cycle times to next-generation technologies. On the other hand, open source is characterized by an agile approach that moves faster. "Though CSPs are at different timeslots in their digitalization journey, they should collectively propel the open source agenda forward. A close collaboration between standard bodies and open source communities is a step in that direction," says Don Alusha, Senior Analyst at ABI Research.

Furthermore, a key consideration before OSS garners vendors' support is the means of monetization. There are two main monetization models that vendors can potentially use to commercialize OSS. Namely, there is the support model and the alternative where the core of the product is open source, but vendors add proprietary bells and whistles on top. Red Hat pioneered the support model and it remains the leading vendor in commercializing OSS using that option. Other companies such as Cloudera and Hortonworks have successfully embraced underlying OSS to offer enterprise-grade modules under a commercial license.

In telecoms, the adoption of OSS is already underway among CSPs and it will almost certainly be mainstream by 2025. For example, CSPs like Orange and Bell Canada have created internal open source groups in a bid to become more well versed in interacting with community-developed software. To that end, CSPs no longer hold reservations in adopting OSS but are now considering ways to include it in their network operations and commercial undertakings. In fact, the industry at large stands to benefit from OSS innovation with the introduction of IT and cloud solutions. But, unlike the IT domain, telecoms infrastructure is characterized by stringent performance, reliability and security requirements that require telco-specific arrangements.

"Commercial models notwithstanding, telco vendors like Ericsson, Huawei, Nokia and ZTE can potentially leverage OSS to realize performance and scalability as they transition their products to cloud-native equivalents. At present, OSS serves as an enablement technology for these vendors as opposed to building a business out of OSS. But eventual diffusion of 5G may well mean that vendors will need to invest significantly in open source projects to develop carrier-grade products and services in next 5 years. When that take place, vendors will need to channel time and investment to establish a presence in open source communities," Alusha concludes.

These findings are from ABI Research's Open Source in the Telecoms Marketapplication analysis report.This report is part of the company's5G Core & Edge Networksresearch service, which includes research, data, and ABI Insights.Based on extensive primary interviews, Application Analysisreports present in-depth analysis on key market trends and factors for a specific application, which could focus on an individual market or geography.

About ABI Research

ABI Research provides strategic guidance to visionaries, delivering actionable intelligence on the transformative technologies that are dramatically reshaping industries, economies, and workforces across the world. ABI Research's global team of analysts publish groundbreaking studies often years ahead of other technology advisory firms, empowering our clients to stay ahead of their markets and their competitors.

ABI Research1990

For more information about ABI Research's services, contact us at +1.516.624.2500 in the Americas, +44.203.326.0140 in Europe, +65.6592.0290 in Asia-Pacific or visitwww.abiresearch.com.

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Global Deborah Petrara Tel: +1.516.624.2558 [emailprotected]

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Open Source Software to Drive Telecom's Innovation Agenda by 2025 - PRNewswire

Although software is significantly changing our work, home, and personal lives, many dont realize that todays software is made up of numerous ingredients. Some of the software we use daily contains pieces of custom code thats developed internally by an organization, while other pieces of code come from community-driven open source projects that end up being baked-in to the final applications we utilize. Therefore, a combination of custom and open source code is employed by organizations who deliver the software products and services we often take for granted

The adoption of open source by software development teams has dramatically changed the software industry overall. Instead of building all software from scratch, organizations use open-source components to their advantage, providing common or repetitive features and functionalities. This primarily limits the use of custom code to proprietary features and functionality, while also being the shoestring that ties everything together. Subsequently, developers spend much of their time on key differentiators, rather than recreating common features.

Todays modern applications are made up of a significant percentage of open source and over 30M developers contribute to community-based platforms like GitHub, accelerating open source softwares acceptance and usage. In fact, analysts report that 95% of organizations consume open source software within their own mission-critical IT portfolios. As a result, organizations must recognize, accept, and oversee how and where open source is used in the products and services they deliver to the industry as a whole.

The practice of using open source components, libraries, and packages during software development does allow organizations to accelerate time to delivery, but it can also expose organizations to heightened levels of risk. For example, organizations that use open source are exposed to new security risks that materialize as a result of attackers taking advantage of the broad usage and open nature of open source. In addition, organizations are exposed to license risk, since open source components are governed by licenses (e.g., GPL, Apache) that set terms for the use of the components. And finally, organizations are exposed to operational risk (e.g., technical debt), because the open source support model depends on a community of contributors. Unfortunately, a community can abandon a particular component, version, or fork, and then the organizations using it in their software are left to patch it or evolve it. Thats the technical debt, effectively.

By using open source, organizations and development teams are trusting the open source community to update and maintain the components, release patches, and monitor for security issues. Diminishing community contributions, outdated component versions, and other similar factors increase exposure to operational risks and can increase the cost of support for a software component in use within an organizations codebase. This can increase the potential that an organizations developers need to spend time and resources performing new development to ensure the security and functionality of a component.

Although organizations acknowledge a heightened level of risk, unfortunately, most dont effectively track or manage open source throughout their entire codebase and cannot easily address the widening hazards they face. Todays organizations often lack automated, repeatable processes for open source usage, risk management, and remediation. For example, organizations may have no process in place for:

Clearly, in todays fast-paced development, delivery, and deployment models like DevOps, organizations need a software security solution that addresses open source challenges more than ever before. Checkmarx is committed to addressing this need head-on.

Checkmarx Software Composition Analysis (CxSCA) is the perfect solution for organizations who desire to further embed security within their DevOps initiatives by detecting and identifying open source components within their codebase and providing detailed risk metrics regarding vulnerabilities, potential license conflicts, and outdated libraries. Integrated as part of a secure SDLC and CI/CD pipeline, CxSCA enables development and security teams to prioritize and focus remediation efforts where they will be most effective and least costly.

Leveraging Checkmarxs industry-leading source analysis technologies, CxSCA is able to provide greater insight into open source security risks by verifying vulnerable conditions within the source code to determine whether vulnerabilities are actually exploitable and helping to prioritize risks for efficient and effective remediation. When used together, CxSAST and CxSCA allow organizations to secure both custom code and open source by focusing on generating results with the greatest accuracy and reducing the noise that distracts organizations from their true goal developing secure, high-quality software with great efficiency.

The Checkmarx approach to SCA is considered superior to other solutions in the market that rely on partnerships and complex integrations to do what Checkmarx does natively. Our cross-product synergies between CxSCA and CxSAST enable organizations to secure both custom code and open source while minimizing the burden of user administration and scan management via unified plugins. Checkmarx is also embracing the new role of developers as the first line of defense, while many other security approaches continue to focus on security teams as the gatekeepers of software security. This tactic allows Checkmarx customers to deploy software on aggressive DevOps release schedules, without sacrificing on security standards.

Checkmarxs mission is to deliver a complete suite of application security testing (AST) solutions to those responsible for securing software without impeding those responsible for developing and deploying it. We have the tools, techniques, solutions, and services to help organizations achieve, deliver, and ship more-secure software, which is now becoming the goal of every organization, developer, and security team member.

To learn more about CxSCA, or how to enhance your AST portfolio with both CxSAST and CxSCA, please request a demo here.

Stephen Gates is an experienced writer, blogger, and published author who brings 15+ years of hands-on knowledge in information security to the Checkmarx team. Stephen is dedicated to conveying facts, figures, and information that brings awareness to the cybersecurity issues all organizations and consumers face. Aligning with Checkmarx mission of improving software security for all organizations, he is an advocate and promoter of their solutions worldwide.

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The Road to DevSecOps: Addressing the Challenges of Open Source Software - Security Boulevard

Dublin, June 03, 2020 (GLOBE NEWSWIRE) -- The "Global and China Automotive Operating System (OS) Industry Report, 2019-2020" report has been added to ResearchAndMarkets.com's offering.

With advances in smart cockpit and intelligent driving, and enormous strides of Tesla, OEMs care more about automotive operating system (OS). Yet, it is by no means easy for both new carmakers and traditional OEMs to develop base software for intelligent cars. It is in the report that world's vehicle OS vendors are compared and analyzed.

Auto OS is generally classified into four types:

OEMs are not only striving to gain control of vehicle base software and hardware and apt to use neutral OS, but exerting itself to reduce the development cycle and costs by more collaborations and leveraging open source software organizations.

Preference to Neutral and Free OS

It can be seen in the table below that most Chinese automakers select Android, while foreign peers choose AGL. Both Android and and AGL are neutral and free operating systems.

AGL now has the support of 11 OEMs including Toyota, VW, Daimler, Hyundai, Mazda, Honda, Mitsubishi, Subaru, Nissan, SAIC , etc.

AGL addresses 70% of OS development work, while the remaining 30% can be developed by OEMs. This facilitates development progress and cuts costs significantly.

More than 140 AGL members work together to develop a common platform for infotainment, which will be further available to ADAS, OTA, gateway, V2X and automated driving in the future.

ANDROID ecosystem, compared with AGL, is more mature and widely used by Chinese OEMs. However, OEMs felt risky to apply ANDROID as Google banned Huawei from using the Google Mobile Services (GMS) on Huawei phones in 2019, giving vitality to other operating systems. For instance, AliOS has already been seen in at least nine auto brands.

Reduce Development Cycle and Costs with the Help of Open Source Software Organizations

The GENIVI Alliance was jointly founded by giants like BMW, GM and Intel in 2009, aiming to offer applicable standards and open source codes for in-vehicle infotainment (IVI) platform. The alliance associates with the users of Android, AUTOSAR, Linux, and other in-car software and the solution suppliers to form a productive and collaborative community of 100+ members worldwide encompassing leading automakers, Tier 1 suppliers, semiconductor suppliers, software developers and service providers. GENIVI alliance always leads in field of open source cockpit software development.

The successful operation of GENIVI Alliance shows the industry's urgent need to reduce development costs and avoid the duplication of development via open source software organizations.

The Autoware Foundation is a non-profit organization founded in Dec. 2018, aiming to develop open source software for autonomous vehicle. With nearly 40 members globally, Autoware is adopted by over 200 organizations in the world.

IT firms Marry Cars and Various Smart Hardware via OS

LG acquired webOS (developed by Palm) from HP in 2013, and then extended webOS as a mobile phone OS to the suitable one for TVs, smart refrigerators, smart watches and smart cars. At present, LG has sold millions of its webOS-enabled Smart TVs. In the early 2020, LG's webOS is increasingly seen in automotive sector.

Samsung has ambitious plans for Tizen, an open operating system, which has already been found in Samsung's wearables and smart fridges, and will be applied to floor mopping robots, washing machines, air conditioners and even cars in future.

Huawei does alike in Harmony OS, a microkernel-based, distributed OS designed to deliver a 'smooth experience' across all devices in all scenarios. It enables seamless cross-terminal synergy across multiple devices and platforms including smart phone, TV, Tablet PC and automotive infotainment.

IT companies are attempting to realize intelligence of all scenarios from mobility, home to office by centering on OS. It remains to be seen whether OEMs will adopt the plan and when the plan will be actually carried out.

Companies Mentioned

Key Topics Covered

1. Overview of Auto OS1.1 Definition and Classification of Auto OS1.2 Basic Auto OS1.2.1 Introduction to Basic Auto OS1.2.2 Market Share of Basic Auto OS1.3 Customized Auto OS1.3.2 Comparison of Customized Auto OS1.3.3 Chip Makers and OS Customized Partners1.4 ROM Auto OS1.5 Automotive Phone Mapping System1.6 Hypervisor1.6.1 Introduction to Hypervisor1.6.2 Hypervisor Becomes the Inevitable Choice1.6.3 Comparison of Main Hypervisors1.7 Hardware Platform and OS for Autonomous Driving1.8 Automotive OS Related Standard: OSEK1.9 Automotive OS Open Organization: GENIVI1.9.1 Introduction to GENIVI1.9.2 Members of GENIVI1.9.3 Main Achievements of GENIVI1.9.4 Examples of Achievements of GENIVI1.9.5 Main Roles of GENIVI1.9.6 Development Trend of GENIVI1.10 Auto OS Open Organization: AUTOSAR1.10.1 Introduction to AUTOSAR1.10.2 Main Members of AUTOSAR1.10.3 Classic AutoSAR Architecture1.10.4 Adaptive AutoSAR Architecture1.10.5 Comparison of Classic and Adaptive AutoSAR1.10.6 Integration of Adaptive AutoSAR and ROS1.11 Auto OS Open Organization: Autoware Foundation

2. Basic Auto OS and Companies2.1 QNX2.1.1 Introduction to QNX2.1.2 Introduction to BlackBerry2.1.3 QNX Cockpit Software Platform Solution2.1.4 QNX System Architecture2.1.5 QNX Partners2.1.6 Trend of QNX in Automotive Field2.2 Linux&AGL2.2.1 Introduction to Linux&AGL2.2.2 Main Functions of AGL2.2.3 Members of AGL2.2.4 Dynamics of AGL&LINUX2.3 Android2.3.1 Introduction to Android2.3.2 Automotive Users of Andriod2.3.3 Trend of Android in Automotive Field2.4 AliOS2.4.1 Introduction to AliOS2.4.2 AliOS Solution2.4.3 Main Customers of AliOS2.4.4 Trend of AliOS in Automotive Field2.5 webOS2.5.1 Development Course of webOS2.5.2 OSE Component and Development Roadmap2.5.3 Integration with AGL2.5.4 Trend of webOS in Automotive Field2.6 Harmony OS2.6.1 Introduction to Harmony OS2.6.2 Development Course of Harmony OS2.6.3 Huawei HiCar2.7 VXWORKS2.7.1 Introduction to VxWorks2.7.2 Products of WindRiver2.7.3 Trend of WindRiver Products in Automotive Field2.8 Integrity2.9 Ubuntu2.10 ROS

3. Custom-made Auto OS3.1 Baidu In-Car OS3.1.1 Introduction to DuerOS3.1.2 Applied Scenarios and Automotive Clients of DuerOS3.1.3 Cooperation Case of DuerOS3.1.4 Xiaodu In-Car OS3.1.5 Cooperation Case of Apollo Xiaodu In-Car OS3.1.6 Xiaodu In-Car OS 20203.1.7 Apollo Cyber RT3.2 Qing OS3.2.1 Introduction to Qing OS3.2.2 Functions of Qing OS3.2.3 Cooperative Projects of Qing OS3.3 Mushroom OS3.3.1 Introduction to Mushroom OS3.3.2 Products and Services of Mushroom Car Link3.3.3 Clients and Partners3.4 Apex.AI3.4.1 Introduction to Apex.AI3.4.2 Features of Apex.OS3.4.3 Applied Scenarios of Apex.OS and Services Provided3.5 vw.OS3.5.1 Introduction to vw.OS3.5.2 Development Course of vw.OS3.5.3 Overall Layout of VW's Software

4. Hypervisor4.1 Overview4.1.1 Introduction to Hypervisor4.1.2 Comparison of Major Hypervisors4.2 QNX Hypervisor4.2.1 Introduction to QNX Hypervisor4.2.2 Features of QNX Hypervisor4.3 ACRN4.3.1 Introduction to ACRN4.3.2 Composition of ACRN4.4 COQOS Hypervisor4.5 PikeOS4.6 EB Corbos Hypervisor4.7 Harman Device Virtualization4.8 VOSYSmonitor

5. Infotainment and Smart Phone Mapping Software5.1 Carplay5.1.1 Introduction to Carplay5.1.2 Main Functions of Carplay5.2 Android Auto5.2.1 Introduction to Android Auto5.2.2 Development Trend of Android Auto5.3 Carlife5.3.1 Introduction to Carlife5.3.2 CarLife+5.3.3 Partial Partners5.4 MirrorLink5.5 Hicar5.5.1 Introduction to Hicar5.5.2 Dynamics and Partners of Hicar5.6 Carbit5.7 Qing Mobile5.7.1 Introduction to Qing Mobile5.7.2 Highlights of Qing Mobile

6. Auto OS Solution Providers6.1 Neusoft6.1.1 Introduction to NeuSAR6.1.2 Main Products6.1.3 Dynamics of NeuSAR6.2 Thundersoft6.2.1 Profile6.2.2 Development Course6.2.3 OS Services6.2.4 Products6.2.5 OS Projects6.3 iSoft6.3.1 Profile6.3.2 Development Course6.3.3 Products and Services6.4 ArcherMind Technology6.4.1 Profile6.4.2 UOS6.4.3 Main Products

For more information about this report visit https://www.researchandmarkets.com/r/zqcto

Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research.

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Assessment of Global and Chinese Automotive Operating System Markets, 2019-2020 - GlobeNewswire

Tony Xu, President of Huawei Ascend Computing, said, "The Huawei Atlas AI computing solution provides powerful computing and ultimate energy efficiency for all AI scenarios across devices, the edge, and the cloud. The Atlas 900 AI cluster provides data centers with powerful computing, high linearity, and the best energy efficiency to accelerate data-intensive research, such as astronomical exploration, weather prediction, oil exploration, and gene sequencing. Research breakthroughs translate into practical benefits for people worldwide."

Atlas 900 is the fastest AI training cluster in the world. It delivers a total computing power of 256 to 1024 petaFLOPS at half precision (FP16), equivalent to the computing power of 500,000 personal computers. Atlas 900 shattered the world record on the ResNet-50 benchmark test for model training by completing training in 59.8 seconds. Atlas 900 is the only product capable of completing the training in under a minute. Atlas 900 has broad applications in scientific research and business innovation for faster training of AI models with images and videos.

Atlas 900 integrates three interfaces for high-speed interconnection: Huawei Cache Coherence System (HCCS), PCIe 4.0, and 100G Ethernet. The Atlas 900 AI cluster leverages the Huawei CloudEngine data center switches to work on a 100 TB/s full-mesh, non-blocking dedicated network for parameter synchronization. The network slashes parameter synchronization latency by 10 to 70 percent to streamline AI model training.

Heat dissipation is a critical issue for an AI training cluster with such high computing power. That is why the Atlas 900 AI cluster adopts a groundbreaking system for heat dissipation. It leads industry innovation with a full liquid cooling solution and a rack-scale enclosed adiabatic design. This design delivers tremendous heat dissipation even for single racks with power consumption of up to 50 kW. It achieves a power usage effectiveness (PUE) of below 1.1 for data centers, almost reaching the ideal PUE of 1.0. Atlas 900 improves over air-cooled 8-kW racks by reducing equipment room space by 79%. Its innovative liquid cooling system provides energy-intensive, high-density, and low-PUE deployment to drastically reduce customer TCO.

Huawei is fostering cooperation to build the Ascend computing industry with open hardware, open source software, and partner enablement. Huawei provides full-stack AI computing infrastructure and application solutions to power industries with AI and create pervasive intelligence.

--Ends--

About Huawei

Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains telecom networks, IT, smart devices, and cloud services we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.

Huawei's end-to-end portfolio of products, solutions and services are both competitive and secure. Through open collaboration with ecosystem partners, we create lasting value for our customers, working to empower people, enrich home life, and inspire innovation in organizations of all shapes and sizes.

At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. We have more than 194,000 employees, and we operate in more than 170 countries and regions. Founded in 1987, Huawei is a private company wholly owned by its employees. For more information, please visit Huawei online at http://www.huawei.com or follow us on:

http://www.linkedin.com/company/Huawei http://www.twitter.com/Huawei http://www.facebook.com/Huawei http://www.youtube.com/Huawei

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Huawei Atlas 900 AI Cluster Wins the Only Best of Show Award for AI at Interop Tokyo 2020 - PRNewswire