Green Software Services From requirements to Business Models

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1 Green Software Services From requirements to Business Models Schahram Dustdar TU Wien Austria Distributed Systems Group dsg.tuwien.ac.at

2 Smart Evolution People, Services,Things Smart Buildings and Energy Networks Smart egovernments & eadministrations Smart Homes DVC PC TV STB Game Machine Audio Elastic Systems Smart Transport Networks ehealth & Smart Health networks Telephone DVD

3 Comm. Architecture Processing Unit Computing Models S. Dustdar, H. Truong, Virtualizing Software and Humans for Elastic Processes in Multiple Clouds a Service Management Perspective, in International Journal of Next Generation Computing, 2012 Machine-based Computing Human-based Computing Things-based computing Ad hoc networks Web of things SMP Grid

4 Autonomic Nervous System

5 Organic System Everything connected

6 Airports, ports and Critical Infrastructure Government Sector Hospitality Sector Healthcare Sector Utilities and Smart Grid Datacenters Industrial Sector Access control Environment Transport Sector Food Transfer Compliance Process Street Light Management Education Sector Lighting Control Power Quality Control Finance Sector Ubiquitous Managed Services Solution Across Business Verticals CCTV Monitoring FDD Storage policies Incidents manager Predictive Public Safety Chart modeling HealthCare builder Expert rule engine Operations manager Managed services Portfolio management Event management Analytics Algorithm Data engine Blackbox Event Facilities mining Industrial module Parking Open Waste mgmt Service Control process Control integration Management Mgmt GUI Resource platform Regression parameters Database builder mgmt. engine Portfolio Point manger Integration Mgmt Resource framework Analyics metering engine framework manager Numerous Forms Of Smart Services.. Provisioning Services SIM profile configuration Network configuration Controls Activation Deactivation Privacy Security Location awareness KIOSK Monitoring Transaction Mgmt. Visibility Billing Reporting IoT and Cloud Computing enable smart services ecosystem and collaboration opportunities More than 7 billion devices and sensors exist for M2M application

7

8 ICT for energy savings in buildings Command Control Center

9 ICT enabled Security Services Command Control Center Saudi Command Control Center Hospitals Shopping malls Schools Airports Factories

10 ICT enabled Telematics Command Control Center Vehicle tracking system Logistics Management

11 ICT enabled services for food storage and delivery Command Control Center Cold storage system Freezer rooms Food display cabinets

12 ICT enabled services for health care Command Control Center Hospital equipments monitoring Hospital operations management Hospital security systems

13 ICT enabled smart education systems Command Control Center Smart classrooms Smart Universities Campus infrastructure management

14 Monitoring

15 Chiller Plant Analysis Tool

16 Integration Presentation Third Party Application Developers End Users Facilities Management Service Providers Measurement & Verification Continuous Commissioning Energy Analysis Fault Detection & Diagnostics Dashboards & Reports OEM Carbon Footprint Analysis & GHG Accounting Maintenance Management Asset Performance Management Alarm Management Database ICT Network Enterprise Application Security System Vehicle Tracking Device Temperature Sensor AHU Vehicle Tracking System Fire Alarms Cameras KW Meter KW Meter Power Meter SIM Smoke Detector Humidity Sensor Flow Meter Occupancy Sensor Pressure Sensor ATMs Chillers Boilers Signage FAHU UPS Pumps Generators HVTS

17 Command Control Center for Managed Services

18 Smart City Stakeholders

19 Core Stakeholders Business Service Providers Operate business utilizing GSS Common objectives e.g., maximizing sustainability of their business -> impacting their business financials OEMs Produce equipment (source of energy consumption) Their efforts have significant impact on savings (e.g., via energy saving capabilities)

20 Core Stakeholders /2 GSS providers Provide services to Business service providers GSS retain service interfaces Establish direct business relationsships with customers who need GSS GSS developers Implement business logic and optimization methods -> significant impact Domain knowledge required

21 Supporting Stakeholders Governments Are responsible for large scale sustainability activities and information providers Policy making and enforcement, legislation, standards Auditors Systematically assess GSS Provide baseline for comparing (future) GSS Standardized evaluation methods Service Consumers Currently passive, however, behavior patterns help to get data and improve GSS

22 Service delivery platform for Smart Cities

23 Service delivery workflows

24 Some GSS Requirements /1 1. Identifying Core Services Collecting/Preparing data from target systems (access & acquire raw+higher level data) Customizing for different target systems Accomodating various scales -> Elasticity

25 Elasticity Scaleability Resource elasticity Software / human-based computing elements, multiple clouds Quality elasticity Non-functional parameters e.g., performance, quality of data, service availability, human trust Elasticity Costs & Benefit elasticity rewards, incentives

26 Some GSS Requirements /2 2. Supporting Process optimization & analytics Data modeling & simulation, Context-aware controls, agent based systems 3. Supporting of sustainability policies Modeling & understanding policies of target systems Finding efficient ways for meeting goals 4. Ensuring Privacy & Security Securing controls for privacy & security 5. Supporting stakeholder collaborations Building interfaces and marketplaces for collaborations

27 Business Models

28 Infrastructure Services

29 Platform Services

30 Virtual Vertical

31 Data Services

32 3rd party applications

33 Analytics as a Service

34 First Conclusions GSS require tight integration from Requirements, Design & Implementation, to the Business Models Understanding & Support for Stakeholders needed (Data, Elasticity, collaboration models) Cloud service models and GSS collaboration models needed

35 Some Research Challenges /1 Virtual Verticals Dynamic number of devices Various (amounts of) real-time data Ad hoc application usage on Clouds Cross-layer planning methodologies needed Providing an isolated environment per tenant Dynamic resources (Elasticity) Coherent model for scheduling/predicting resource usage Impact on Elasticity

36 Some Research Challenges /2 Programing Model Inherent in PaaS Decoupling applications from device specifics Control logic often executed in Gateways -> standardization issues Quality-aware real-time data Data quality is highly volatile Data quality assurance is needed -> methods e.g. statistical, selective data sources, etc. Metering, Billing, and SLA Needs support for all resources and various contexts Metering & Billing for all stakeholders -> Configurability

37 Thanks for your attention Forthcoming paper: IEEE Internet Computing 2013 Schahram Dustdar Distributed Systems Group TU Vienna - Austria - Europe dsg.tuwien.ac.at

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