GlobalLogic M2M Ecosystem Services

2013 GlobalLogic Inc.

M2M Ecosystem Services

Confidential


M2M Offering M2M Reference Architecture Case Studies

01 02 03


M2M Offering 01


Over a dozen M2M implementation in different verticals (healthcare, automotive, etc.)

Ability to develop components or end-to-end M2M solutions

Reference architecture and reusable design patterns

Established relationships within M2M ecosystem

Facts & Figures

M2M Capabilities Summary M2M Offering

End solution OEMs Technology creators (OEMs/

ISVs) MNOs/MVNOs

Ecosystem Services

Devices Gateways M2M platforms Business apps

Components

Embedded (FW/SW) Wireless communications SaaS and Cloud Thin and mobile clients

Key Technologies


Develop and integrate M2M solutions / products (devices and software) Development of custom (and integration of existing) M2M enablement

platforms Develop core M2M technology (firmware / software)

Our Services

M2M Ecosystem Services M2M Offering

End Customer/User

Solution Provider

MVNO MNO

Component Provider (OEM)

Platform Provider (ISV)

Network Services

Technology Components

M2M Application

Complete Solution


M2M Components & GlobalLogic Expertise M2M Offering

Gateway

Device

Business Applications 4

3

2

1

1

Business applications for managing data and workflows

Custom-built platforms, extension/integration of existing solutions

Application-level embedded software for managing cellular communications between devices/gateways and M2M enablement platform

System-level embedded software for integrating and managing cellular communications modules into devices or gateways

M2M Enablement

Platform


M2M Reference Architecture 02


Applications support domain-specific scenarios and provide touch point for users and business partners

M2M Enablement Platform performs common functionality reusable across business applications

Gateway provides data communication between device and platform, and can be integrated with the device

Devices monitor (sensors) and control (actuators) the asset Assets are physical objects or people that are targets of the M2M

service

About M2M Reference Architecture

M2M Reference Architecture M2M Reference Architecture

Gateway

M2M Enablement

Platform

Device

Business Applications

Asset


Real world entities (people, buildings, cars) Can be stationary (building) or mobile (car) Can be modeled as a finite state

machine (engine normal, overheated) Has a temporal aspects (time dimension) Has a location aspects (geo dimension)

About Asset Layers

Asset Layer M2M Reference Architecture


Monitor the asset by probing its state Optionally control the asset by actuating Device and asset can have a many-to-many relationship

Single device can monitor multiple assets (for efficiency) and also multiple devices to monitor a single asset (for reliability)

About Device Layers

Device Layer M2M Reference Architecture


Unify many different device interfaces into a single interface Perform local device management functions Optionally perform edge processing May support multiple types of devices May have custom logic to perform specific processing without

connecting to back-end applications (for network load and performance objectives)

Gateway extension and device drivers software are updated from the platform server

About Gateway Layers

Gateway Layer M2M Reference Architecture


Device authentication, deconfusion, admin groups, software (device driver and extension) update and patches

Provide a FSM (finite state machine) to model the asset lifecycle conditions, optionally define desirable / undesirable state

Provide user-defined, automated reaction rules (IF asset state == X, THEN do action Y)

Associate mapping from the device data to the asset condition: location, time interval, asset state to device reading, asset action to device command

Provide plug-ins for extending the platform

About Platform Layers

Platform Layer M2M Reference Architecture


Device and asset management and maintenance Exception management, automatic response and alerts Analytics insights, reporting, trending and predictions Business optimization, workflow automation, and decision rules

implementation

About Application Layers

Application Layer M2M Reference Architecture


Sufficient redundancy is required to reduce the impact of any single component failure Redundant data residing in different components must be kept in sync for consistency Automated recovery mechanism to handle different failure scenarios without any noticeable impact to online users Smoothly scale up for different dimension of anticipated growth Able to handle unanticipated, highly fluctuated workload spikes

Considerations

Availability & Scalability M2M Reference Architecture


Tolerant to unreliable network Continuous and reliable communication while asset / device in motion Support broad range of devices, data format, and communication protocols Low latency, real-time device monitoring, control and data transfer Secure communication protocol with data encryption and device authentication

Considerations

Networks & Protocols M2M Reference Architecture


Case Studies 03


Converged services delivery platform as a result of strategic partnership between the carrier and an automotive manufacturer used to provide smart services to automobiles

Provides end-to-end infrastructure with support for set of services and applications

Load-balancing, high-availability, scalability

Product

Automotive Services SDP Case Study

Architecture, design, development and testing of the platform Integration with carriers wireless subscriber inventory system Integration with vehicle manufacturers inventory systems

Contribution

Java EE, RESTful Web Services, Spring, Apache Camel, HTTP, SNMP, OAuth, NGTP, Oracle

Technology


Real-time monitoring of perishable products in retail locations using sensors attached to products and display/refrigeration equipment

Integrating sensor data with business intelligence information to provide workflow scenarios for maintenance/repair personnel (i.e., intelligent prioritization and routing), and optimize logistics operations (i.e., analytics)

Product

Retail Logistics Optimization Case Study

Development of communications and messaging platform to receive device information and filter, store and propagate it

Integration with SAP Business Web Development of cross-platform end-user business applications for

workflow automation, reporting and analytics

Contribution

Java, JavaScript, Python, MySQL, HTML5, Web Services, SAP Business Web (BizWeb), GSM 3G network connectivity, Google Maps LBS, Amazon EC2, SAP Net Weaver, Google AppEngine

Technology


Enables cost-effective management of massive scale of connected devices hiding the complexity of the underlying device and communications technologies for application developers

Enables interoperability between management platform, applications, and connected devices

Product

Universal M2M Solution Case Study

Architecture design for the complete solution Definition of software requirements and unified interfaces between all

components Exploration of implementation options for software and hardware

components Consulting during implementation phase

Contribution

Service gateway (GW) abstraction model, EDA, Complex Event processing and Cloud EDA, NextGen Data Centre and cloud model, Security and Management, Agent technologies and WEB2.0+, technologies

Technology


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Thank you

Documents

GlobalLogic M2M Ecosystem Services