Multiservice Provision in Wireless Mobile Environments MSc Nataliya German (COMAS Graduate School) MSc Dmytro Zhovtobryukh (InBCT Project) ngerman@cc.jyu.fi, dzhovto@cc.jyu.fi University of Jyväskylä Department of Mathematical Information Techonology

Multiservice Provision in Wireless Mobile Environments Future situation: Many types of services Huge amount of content High level of activity Concurrency between services Different users (preferences, devices, communication lines, allowed services, etc.)

Multiservice Provisioning System Architecture

Design Goals Flexibility Extensibility Re-configurability Scalability Service Mobility User Mobility Heterogeneous Data (Services) Integration Adaptive Communication Deregulated Access

Design Perspectives Transaction management perspective: the designed architecture must provide the base for construction/implementation of efficient transaction processing scheme that can solve existing transaction management problems; Communication network perspective: the designed architecture must support the mechanisms for dealing with different communication network types specifics (user mobility, frequent disconnections, network domain infrastructure, etc.); Service management perspective: the designed architecture must enable possible differentiation of services to be provided with respect to concrete user preferences.

Concrete Tasks Existing Architectures Overview Classification of Services for Mobile Users Classification of Mobile Users Difference between Communication Networks User-Service Data Flows Analysis

Concrete Tasks Bottlenecks in Wireless Networks Conflicts and Concurrency System Architecture Design Data Organization Design Requirements to Services to be Provided Analysis of Approaches and Techniques for Development

Relevant Research Areas and Topics of Study Mobile Service Management Mobile Internet Protocols Middleware Service Architectures Service Categories Service Filtering Mechanisms Personalization Billing and Accounting Security Business Models Next Generation Networks Mobile Internet Mobile Intelligent Networks E-commerce Systems (+Mobile) Metadata, Semantic Web Ontologies Intelligent Agents DTD – Document Type Definition (XML-encoded service definition) Mark-Up Languages (XML, RDF, RDFS, DAML-S, OIL) Intelligent Information Integration Multidatabase Systems Heterogeneous Data Integration Distributed Database Management On-Line Analytical Processing Data Warehousing Mobile Transaction Management

Existing Architectures Overview

Next Generation Networks(NGN) NGN is mobile intelligent network concept deriving intelligence from the following properties: Open Service Architecture Softswitches and Distributed Network Intelligence IN/IP Convergence NGN Signaling Intelligent OSS/BSS Systems

Next Generation Networks(NGN) Intelligent Transport and Routing Embedded Software and Smart Cards Intelligent Agent Technology Smart Antenna Systems Advanced and Value-added Services Personalization Ad-Hoc Networking

Service Management Architectures Analysis Intelligent Network Architecture (Lucent Technologies) centralized service management system Converged Service Model (Pelago Networks) low-cost switching (softswitches, converged service nodes) Parlay open and technology-independent that allows hosting applications outside specific networks Virtual Home Environment provides personalized service portability across network boundaries and between terminals

Service Management Architectures Analysis Intelligent Service Architecture (IBM) network nodes are designed to be as self-configuring, self-managing, self-diagnosing as possible An Open Service Architecture for Adaptive Personal Mobile Communication (Ericsson) intelligent agent-based system implementing shared service knowledge Integrated Generic Architecture for Flexible Service Provision to Mobile Users (University of Athens, Greece) 3G-core network based re-configurable architecture

Service Architecture Evolution Trends OSA convergence (public interfaces) Service portability Terminal and location independence Distributed service execution End-to-end service negotiation Shared service knowledge introduction Service export/import to/from other networks/Internet

2G (GSM) Service Architecture Mobile device authentication: HLR location report Circuit switching of radio channels SMS is limited packet data service Services are mutually exclusive Internet access via WAP GW only Restricted WML support No asynchronous applications

2.5G (GPRS, EDGE) Mobile device authentication: Gateway GPRS Support Node (GGSN) IP addressing of mobiles by GGSN Traffic differentiation Support for CS GSM and PS GPRS Data transfer reliability and radio efficiency Operator’s multimedia services

2.5G: JAIN SIP Session Initiation Protocol (SIP) belongs to JAIN API family SIP server is used to setup multimedia communication between end-points Parlay-API can be added to SIP server to execute servlets on a web server Scripted mobile code can be sent for execution to application client

2.5G: Parlay Parlay API is based on CORBA interfaces Allows hosting applications outside specific networks while accessing network resources Relies upon operator-installed gateways Open and techology-independent Requires synchronization between application client and server Services can move only within Parlay domains

2.5G: Parlay Architecture

3G Phase 1 (UMTS) Mobile device authentication: combined Support GPRS Support Node (SGSN) and GGSN IP addressing by combined SGSN/GGSN Real-time and isochronous multimedia over wireless end-to-end connectivity Services are platform-unique and cannot be exported/imported to/from Internet

3G Phase 1:VHE Virtual Home Environment(VHE) provides service portability accross network boundaries UI personalization location-independent access to services For UMTS VHE consists of GSM services Roaming principles Service capabilities

Virtual Home Environment Architecture

3G Phase 2 Mobile device authentication and IP addressing: integrated SGSN and GGSN (IGSN) sends information to AAA-server and HLR Services are negotiated end-to-end, also outside the service network Necessity of dynamic restoring service shared knowledge inside mobile device

4G Public locations provide broadband Internet access and are equipped with WLAN extensions High bandwidth (up to 11 Mbps) High scalability due to mobility mechanisms (Mobile-IP, IPv6) No traditional subscription for Internet access (e.g.E-Cash) Third party services without intervention of network operator

Internet Service Architectures Universal Plug & Play (UPnP) and JINI enable devices use each other’s services dynamically JINI uses a server; UPnP relies upon a control point, co-located with the resource Registration of profiles and resources, and event services Tuple Spaces Devices and resources share common application knowledge Special tuple-server, and hence scaling problem

Converged Service Node Deployment Model (Pelago Networks)

Intelligent Network Architecture (Lucent Technologies)

Intelligent Service Architecture (IBM)

An Open Service Architecture for Adaptive Personal Mobile Communication (Ericsson)

Integrated Generic Architecture for Flexible Service Provision to Mobile Users (University of Athens, Greece)

Mobile Network Services

Service Classification Three main types of service classification can be considered: Execution Site based classification Equipment based classification Functional classification

Execution Site Based Classification Refers to classifying the services according to the site in the network where the services are executed Server based services – executed on server side User terminal based services – executed locally on user terminals Network based services – performed by network functionality

Equipment Based Classification Refers to classifying the services into groups according to network standard or applied equipment capabilities Network specific services – services specific for certain network standard or for certain network hardware User terminal specific services – services specific for certain terminal capabilities

Functional Classification Refers to classifying the services according to useful function performed by them Communication services – services which enable communication between two or more network users Content Delivery services – services which enable information delivery to users in appropriate form Remote Management services – services which enable a user to remotely accomplish certain activities through the network

Existent and possible mobile services Voice Telephony Data Services Multimedia Services Remote Diagnostics Unified Messaging Information Brokering Electronic Commerce Call Center Services Mobile Advertising Interactive Gaming Distributed Virtual Reality Home Manager Location-based billing, information, emergency, and tracking services Value-added applications enhancement: mobile gaming, mobile chat/messaging, and friend finder services

Business Models Provide flexible and well defined foundation for design and management of complicated corporate service architectures. They define: Business entities and roles Reference points for business relationships Service provision procedures and frameworks

Business Models in E-Commerce B2B – Business to business B2C – Business to consumer C2B – Consumer to business A2A – Application to Application C2C – Consumer to Consumer M2M – Market to market

Business Models in E-Commerce Peer-to-peer (machine to machine, with or without human guidance) B2B2C – Business to Business to Consumer Direct Commerce – Vendor Managed Inventory shipped directly from warehouses Collaborative Commerce – Multiple partners working to supply a seamless experience Transparent Commerce – a persona with data wake that predictably engages commerce

Thank you for attention!