Embedded Systems and RTOS in IoT

IoT infrastructure consists of various technology platforms (hardware and software) either cloud-based or enterprise, application interfaces, protocols, operating systems, storage and networking fabrics.

IoT demands a different set of microprocessors, drivers, peripherals, batteries and operating systems than conventional Embedded System used in general purpose computing systems.  At present, most embedded systems use 4th Generation languages such as C, C++ and Java for their hardware components to transmit, store, and execute code.

Conventional Embedded Systems are not competent to deliver what the IoT is expecting from an embedded device networked in IoT and it brings great challenges to develop or transform contemporary embedded system into an IoT enabled smart embedded system.

Embedded Internet of Things (IoT) Ecosystem: Next Gen Embedded System Hardware, Software, Tools, and Operating Systems 2016 – 2021 provides analysis of the products that will be developed to support IoT, changes in traditional RTOS required to match performance with IoT, changes in hardware required to match needs of IoT, types of peripherals, and emerging tools to support processing of embedded systems in IoT.

The report provides five year forecast for Embedded Systems in IoT for the period of 2016 – 2021. It provides regional segmentation by industry for embedded systems and components.

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Opportunities in Internet of Things (IoT) Platforms

IoT Platforms can be defined as a convergence of software and hardware solutions to interconnect “things” (people, objects, devices, processes, data, etc.) in the real world and the virtual world via the Internet, and make the “things” communicate and interact with each other.

IoT Platforms will evolve to become more general purpose in nature, supporting certain key functions including:

  • IoT Platforms and Data Management: An important function of IoT platforms will be to continuously generate, collect, share, and utilize data about users and for users.
  • IoT Platforms and Distributed Computing: One of the key architecture issues for IoT is to support a distributed Cloud arrangement known as Fog Computing.
  • IoT Platform Mediation and Orchestration: Orchestration is an essential aspect of service oriented architecture, virtualization, provisioning, converged Infrastructure, and various datacenter issues.
  • IoT Platforms and IoT OS and APIs: The success of IoT Platforms will depend on a variety of operating systems (OS) and Application Programming Interfaces (APIs) supporting the IoT standard.
  • IoT Platforms and Virtual to Real Control: Platforms will support virtual-to-real, real-to-virtual, and even virtual-to-virtual control for IoT applications and services.

Internet of Things (IoT) Platforms: Market Outlook and Forecasts 2016 – 2021 evaluates the IoT Platform marketplace including companies, solutions, market outlook, and specific opportunities where there are unmet market needs. The report assesses the technologies supporting IoT Platforms as well as required future functionality to facilitate market growth and sustainability.

The report includes forecasts for IoT Platform revenue and deployments globally and regionally for the 2016 to 2021 period.  Forecasts also include a breakdown by Segment, Solution, Investment/Funding, Value Chain, and Connectivity.

 

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IP Multimedia Subsystem: A Retrospective

IP Multimedia Subsystem (IMS) was once thought by many to be a catalyst for change in telecommunications, one that would bring more competition for services, greater mobility, and more specialized services and content. The drivers behind this change were anticipated to be derived from large and permanent shifts in the economics of the telecom market and new technologies at the time that were thought to offer more capabilities, and associated value-added services.

In 2006, Mind Commerce initiated coverage of IP Multimedia Subsystem (IMS) with its report entitled “IP Multimedia Subsystem: Driving New Business Models & Opportunities“.

We stated in this report: “IMS is not economically viable if the goal is simply to replicate existing services in a new architecture. The payoff of IMS is to develop and introduce new value-added services for incremental revenue at a lower cost per subscriber.”

This publication was considered by many to be a must-have resource for anyone responsible for planning, designing, implementing, or managing IMS networks and/or IMS-based applications and services.

At the time, there were great hopes for IMS providing mobile network operators with traditional intelligent network type control while enabling IP network functionality and flexibility.  In other words, IMS was supposed to allow the carriers to have their cake and eat it too.

However, much has changed in the ten years since the release of that report.  In 2006, voice produced nearly 90% of all mobile revenue.  In early 2007, Apple introduced the iPhone, one of the first smartphones to use a multi-touch interface.  This would become a milestone event as Google would later launch the Android operating system, partner with the likes of Samsung, and the smartphone revolution would begin.

With that revolution, carriers would enjoy significant growth in data penetration and revenues as mobile Internet usage has surpassed desktop access as the most used digital platform.  In 2013, mobile data revenue would surpass voice, becoming the majority of wireless carrier revenue.

During this period of time, mobile network operators aggressively transitioned from 2G to 3G to 4G technologies, heavily promoted data plans to their customers, and ultimately acquiesced to the notion that apps and content would be fulfilled not by the carriers themselves but by the likes of Apple and Google via their platforms.

Now, the carriers are recognizing they are in a similar situation that they were in 2006 when voice was waning in favor of data.

In recent years, wireless carriers have looked toward the evolution of machine-to-machine (M2M) communications towards the Internet of Things (IoT) as having great potential to provide expanded opportunities beyond cellular services in support of traditional industry verticals such as the energy sector (3). In contrast, IoT provides the promise of cellular communications in support of automation as well as new products and services across an extremely wide array of industry verticals.

Complicating matters is the transition from 4G/LTE to 5G, which we expect to see commercially viable by 2020.  One of the improvements of 5G (compared to 4G) is anticipated to be improved support for M2M (4).  While this is a good development for the mobile network operators, alternative technology in the form of Low Power WAN (LPWAN) approaches to wireless access for IoT are rapidly gaining ground as a low-cost option that is available today.

Mind Commerce expects that 5G will transform technologies, services, and create entirely new business models as data about the data (e.g. data analytics) becomes the new currency.  Current technologies, such as Augmented Reality and Virtual Reality, will be transformed due to 5G.  Emerging technologies, such as Haptic Internet and Robotic Teleoperation will become commonplace.

For more information, see Mind Commerce for its ongoing coverage of Communications, Applications, Content, and Commerce.

Also see: Understanding IP Multimedia Subsystem (IMS)

 

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Understanding Heterogeneous Networks (HetNets)

Telecom data is provided over In a HetNet environment, it is important the Macro Cell provides a larger umbrella coverage area while Small Cells are placed in strategically closer locations to the UE to provide the required coverage or capacity. By moving these short range Radio Access Points or Base Stations closer to the user equipment, end users benefit from more reliable data connections and higher data throughput. The term Small Cell itself covers a broad set of technologies present in the market. These are the Pico Cells, Femto Cells, Micro Cells, Carrier Wi-Fi, etc.

There is another unique advantage associated with Small Cells. Since they are deployed with lower power radio waves, they have a short coverage area. This in essence limits the amount of interference that can be caused in the Macro Cells. Several Small Cell areas can be created without much concern for having any interference issues. This, of course, depends on the frequency plan implemented in the specific HetNet location.

A generalized HetNet architecture consists of a combination of disparate network and radio access technology nodes. Figure below shows a simplified rendering of a typical HetNet ecosystem consisting of a combination of radio access technologies and cell types connecting to the EPC.

  • Device Driven: In this mode of implementation, the device intelligence and priority drives selection and reselection of networks. This potentially leads to loss of operator ability to ensure a consistent network controlled experience to the subscribers. This behavior is usually transparent to the end user.
  • End User Driven: In this mode, the end user makes the choice of attaching or moving to a specific network from the available list of networks in the vicinity. Usually this kind of scenario happens when the different networks in the HetNet are disparate. One of the draw backs is that the user may suffer interruption in real time services if the IP address changes between the core networks serving the different Radio Access networks of a HetNet.
  • Core Network Driven: In this mode, the core network manages the entire HetNet coordination exercise. It monitors and triggers the device to move between the contributing networks of the HetNet. The different radio access networks are managed and served by a common core that anchors the IP address. This allows continuity in real time services and seamless offload between different radio access technologies within the HetNet.

Important topic areas for Commercializing the HetNets include:

  • Path to 5G
  • Data Monetization
  • IoT and Smart Cities
  • HetNet Deployment
  • Enterprise Communications
  • Host Neutral and Shared Access

Contact us for more information about HetNets.

www.MindCommerce.com

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What Mind Commerce sees coming in 2016 and Beyond

What we see coming in 2016 and Beyond:

  • Artificial Intelligence is becoming a part of Everything: It is getting integrated into everything from machine learning, predictive analytics, security software, intelligent agents, and more.
  • Data is a Central Part of all Corporate Planning: The so-called Data Economy is here to stay. It is pervasive throughout everything from Analytics, Big Data, Business Intelligence, Discovery and Visualization (of data), and more. ICT companies of all types and enterprise in general are learning that data is one of their most valuable assets and there are evolving tools to realized optimal benefits.
  • Cloud Computing is moving beyond IT: Once relegated primarily to IT personnel tasks with reducing costs, cloud computing is becoming a strategic differentiator, enabling companies to more flexibly manage operations, create, and maintain new products and services. It is also continuing to expand beyond pure “computing” to include communications, applications, content, and commerce across a diverse number of industry verticals.
  • The Internet of Things (or Internet of Everything) is becoming more than Just Buzz Words: As meaningful problems find solutions with IoT, and it becomes clear that it is not just technology chasing a need, IoT will become part of the global lexicon of indispensable things, just like Smartphones and the Internet itself.
  • Broadband (particularly wireless) is Enabling Key Technology Areas: While 4G via LTE is currently the worldwide recognized standard for high-speed wireless data, it will pale in comparison to what will be commercially available by 2020 when 5G is in operation. With 5G there will be no perceivable latency, facilitating expansion of a number of advanced applications such as Augmented Reality and Haptic Internet. Interestingly, these applications will cause vast amount of data to come into being, which will drive the need for more expansion in the data economy.

Contact Us for information about upcoming reports, inquire about your research needs, and/or follow us on Twitter

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Big Data News and Market Developments August 2015

The world of Big Data is rapidly evolving as technologies are increasingly integrated into mainstream business operations.

Here are some of the noteworthy developments from August 2015:

1.    Product news

Name Of the Company Description
Cloudera ·      Cloudera Navigator, an integrated data management and governance solution offering for Hadoop by Cloudera, became a part of its Cloudera Accelerator Program. Cloudera Accelerator Program is a partner program from Cloudera which focuses on the development and certification of applications of partners based on Hadoop technologies.
Dataiku ·      Dataiku’s Data Science Studio (DSS) offering obtained a certification on the data management platform of Cloudera Enterprise 5 edition. This is a part of strategy of Dataiku to provide its customers with the tools, which will enable them to gain competitive advantage leveraging the big data capacities/teams.
Adaptive Insights ·      Adaptive Insights further enhanced its analytics capabilities with the release of its Adaptive Suite 2015.2, which enables the enterprises to leverage the cloud environment to gain improvised visibility of their business performance, through better work force planning, sales modeling and product analysis capabilities.
Tableau Software ·       Tableau Software expanded its geographic presence into China, by opening an office in Shanghai, with a view to enhance its service offerings to the partners and customers in the country.
MemSQL ·       MemSQL enhanced the benefits of its product through the availability of its MemSQL Community Edition product on Amazon Web Services (AWS) Marketplace and Microsoft Azure Marketplace.
NGDATA ·       NGDATA enhanced the capabilities of its Lily Enterprise solution by introducing Lily Enterprise v3.2, which provides the enterprises with the ability to take appropriate action for alerts to create personalized offerings for the customers.
MapR

Technologies

·       MapR Technologies enhanced the benefits of its MapR Distribution product through its availability on Amazon Web Services (AWS) Marketplace, thereby providing the customers with the capabilities to execute Big data projects in the AWS Cloud environment.
Lucidworks ·       Lucidworks enhanced its Fusion offering through the launch of Version 2.0 of the product, which facilitates in real time analytics and accelerates the data retrieval and analysis capabilities.
Sumo Logic ·       Sumo Logic further enhanced its product features by integrating it with the AWS VPC Flow Logs, which enables the companies to strengthen their security and compliance along with gaining deeper visibility and visualizations of their data.
HP ·       HP announced the new release of HP Vertica and also initiated its HP Haven Startup Accelerator program, to provide the enterprises with access to HP Big Data and Application Delivery Management software and services.
Accenture ·       Accenture through its Accenture Analytics Applications Platform launched 5 advanced analytics applications namely Network Predictive Fault Management, Bundle Pricing, Revenue Forecasting, IT Governance and Call Volume Forecaster for the telecommunications industry, to provide them with customized analytics insights to facilitate in better data-driven decision making.

2.    Partnerships & Alliances

Name Of Partner Companies Partnership Description
Splunk, Arrow Electronics ·       Splunk and Arrow Electronic signed a distribution agreement for 22 countries in the European region, whereby Arrow would leverage Splunk capabilities to strengthen its big and analytics solutions offering. Splunk will inturn be benefitted, as it would enable Arrow to distribute Splunk solutions and services, thereby enabling its capacities to offered enhanced services to its resellers.
ClearStory Data, Google ·       ClearStory Data collaborated with Google Cloud Platform to fasten the data analysis capabilities on large and diverse datasets, by the integration of its analysis engine and in-built data preparation and harmonization capabilities with Google Cloud Dataflow.
Hortonworks, NEC ·       Hortonworks partnered with NEC for the distributed processing of big data, which will enable NEC to resell support devices for Hadoop Data Platform (HDP) in Japan and other countries of the Asian region.
Hortonworks, EMC ·       Hortonworks signed a reseller agreement with EMC to become its select partner for EMC’s Technology Connect Partner Program. The agreement will enable EMC to resell Hortonworks Data Platform to its customers.
Zettaset, Thales ·       Zettaset partnered with Thales to offer encryption product for Hadoop and NoSQL, whereby Thales key Authority offering extended the management to Hadoop and NoSQL using Zettaset BDEncrypt client software, which provides the enterprises with encryption control for large databases.
DataStax, Datapipe ·       DataStax partnered with Datapipe to jointly offer Cassandre service, which provides the enterprises with the capabilities to support applications requiring low-latency database access.
Accenture, Duke University ·       Accenture partnered with Duke University to focus on the development of advanced analytics solutions to address client specific challenges, initiating from the health management research.
SAP ·       SAP launched the on-premise 30-day trial edition for its SAP Business Suite 4 SAP HANA for business processes related in the finance, sales, and procurement and manufacturing functions.
SAP, Women’s Tennis Association (WTA) ·       SAP Partnered with Women’s Tennis Association (WTA) for the development of SAP Tennis Analytics software for coaches and players, which provides them with real-time performance data during live match play.

 

3.    Contract Wins

Name of Company Name of the Customer Contract Description
Cloudera British Telecommunications Group (BT) ·      Cloudera was selected by British Telecommunications Group (BT) to deploy its Enterprise Data Hub (EDH) offering, which would enable BT to have a unified view of its customers and enable it to reduce the time to rollout broadband services and enhance the performance of its broadband coverage within the UK.
Talend Ellie Mae ·       Talend was selected by Ellie Mae to deploy its Talend Master Data Management (MDM) solution, which will provide Ellie Mae with unified access to its lifecycle management and segment marketing data, thereby enhancing its sales and marketing decision making capabilities.
Adaptive Insights Infoblox ·       Adaptive Insights was selected by Infoblox to deploy its cloud-based solutions, which would enable Infoblox in getting data analysis for strategic insights, which will inturn provide it with business expansion management strategies, through the automation of its FP&A processes.
Adaptive Insights Payzone UK ·       Adaptive Insights was selected by Payzone UK, to offer Adaptive Planning product for the automation of processes and financial forecasts rolling processes, thereby enabling Payzone UK to reduce the errors and planning time and also leverage upon the scenario modeling options to enable its better plan for the variations in the retail spending.
TCS Mother Dairy ·       TCS was selected by Mother Dairy Fruit and Vegetable Private limited, to provide its Sourcing and Procurement Platform, to help Mother Dairy digitize and streamline its RFX and Auction processes, which will enable it to reduce and enhance the transparency in the selection process of the suppliers.
Oracle Allied Bank Limited (ABL) ·       Oracle was selected to offer its Oracle Exadata Database Machine to Allied Bank Limited (ABL), to enable the bank reduce its total cost of ownership , enhance its data protection capabilities and facilitate in the simplification of its IT plans and pacify its expansion plans.
MapR Technologies Terbium Labs ·       MapR Technologies was selected by Terbium Labs, to offer its MapR Distribution product for Matchlight, a data intelligence system, which reduces the risks associated with data breach instances.
MapR Technologies Harte Hanks ·       MapR Technologies was selected by Harte Hanks, whereby Harte Hanks leverages the MapR platform for the data analysis capabilities, to enable its clients in migration, analysis and data storage with reduce time, efforts and cost.
IBM Markor International Home Furnishings ·       IBM was selected by Markor International Home Furnishings to offer its MobileFirst for iOS app to enhance the experience of the customers for shopping. The app enables the sales personnel to place orders, demonstrate products & images of furniture to customers based on personalized recommendations generated on the basis of analysis of customer’s likings and preferences.
SAP Royal Swaziland Sugar Corporation (RSSC) ·       SAP was selected by Royal Swaziland Sugar Corporation (RSSC), to provide its SAP HANA platform and also implemented its SAP Business Suite software, to address the various process involved and rapid-deployment solutions from SAP to address everything including payroll, resource consumption and supply chain functions.
SAP MVV Energie AG ·       SAP was selected by MVV Energie AG to offer SAP CRM including SAP HANA to streamline and strengthen its quotation and order management capabilities, to optimize its operations.

4.    Mergers & Acquisitions

Name of Acquiring Company Name of the acquired Company Description
Tableau Software Infoactive ·       Tableau Software acquired Canada based infographics web app startup company named Infoactive, whereby Tableau plans to leverage the in data & design and mobile & cloud sharing products of Infoactive for its data visualization tool development capabilities.
Hortonworks Onyara ·       Hortonworks plans to acquire Onyara, which would enable the customers in the automation and secured flow of data for the creation of business insights. The acquisition which is expected to be completed in Q3-2015 facilitated Hortonworks to launch Hortonworks DataFlow and will enable the customers in effectively managing and gaining insights from the IoAT data.
Advance 1010data ·       Advance acquired the big data discovery and sharing platform provider 1010data for $500 million, and further plans to provide it with the funding to further accelerate the development of the platform.

5.    Corporate News

Name of Company Description
Datameer ·       Datameer secured a financing of $40 million from leading investors which included ST Telemedia (STT), Top Tier Capital Partners (TTCP), Kleiner Perkins Caufield & Byers (KPCB), Software AG, Redpoint, Citi Ventures and Next World Capital. The funding will be used by Datameer for the development of its team across all the business units and also facilitate its global expansion plans.

Contact us for more Big Data news, market developments, insights and analysis.

www.MindCommerce.com

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Smart Cities and Data Management

Mind Commerce research indicates that a significant majority of IoT applications will occur within metropolitan areas and will ultimately integrate within a Smart City ecosystem.  For example, our research indicates up to 21% of all communication service provider revenue will be dependent upon Smart Cities by 2020.

Virtually every aspect of ICT within the context of smart cities relies upon data management, which may take many forms including the following:

  • Data capture
  • Data retention (e.g. Data Warehouse)
  • Data analytics
  • Data provisioning
  • Data administration

The benefits of data management for smart cities range from optimizing operation of technologies (which are discussed in the following sections) to leveraging data for optimized city operations such as transportation.  Data management will also be a key aspect for dealing with the vast amounts of data generated from smart buildings, smart grid, smart cars, etc.  Big Data and related analytics technologies will provide various potential benefits including improved security, optimized city spending, and improved city planning.

Mind Commerce anticipates significant investment in both traditional infrastructure (such as intelligent transportation systems) as well as next generation ICT systems (such as sensors monitoring water levels, energy usage, traffic flows, and security cameras, and sending that data directly to city administrators).  In addition, certain governments are making substantial investments in political, human and social capital.

SmartCitiesAsiaPac_2015-2020(MindCommerce)

Mind Commerce sees strong global growth for Smart Cities, particularly in the Asia Pac region.  For more information, see our website, or contact us for a briefing.

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