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Software Deployment and Mobility
Introduction
• Deployment is the placing of software on the hardware where it is supposed to run.
• Redeployment / migration of software components while the system is in operation is mobility.
A Wireless Sensor Network System
Deployment and Mobility Challenges
• Geographically Distributed hardware• Heterogeneity of hardware• Different configuration• Differing life span• Versioning• Partial mobility• Locating the hardware/software/service
Deployment Basic Concepts
• Software system is deployed on one or more hardware devices called hosts or sites.
• Each site provides some resources.• E.g. –– Hardware (Memory, CPU)– Network (Protocols and IP port numbers)– Peripheral Devices (hard disks and keyboard)– System Software (OS, drivers)– Other application level software (GUI builders, DB)– Data Resources (data files, GUIDs)
Deployment Basic Concepts contd.
• Software system consists of set of components and connectors.
• Multiple versions of these components and connectors may exist.
• Version is time-ordered revision, platform-specific revision or functional revision.
Deployment Activities
• Planning
• Modeling
• Analysis
• Implementation
Deployment Planning
• In planning stage we consider the behavior of the system and statistics related to that behavior.
• System should ensure certain desired system properties. ( QoS )– Dependability– Availability– Security– Fault-Tolerance– Durability , etc.
Planning Challenges
• Large no. of system parameters• Conflicting service qualities (e.g. Security vs. Efficiency)
• Services & their QoS influence user’s satisfaction
• Space of possible deployment architectures is exponentially large.– c components, h hosts -> hC possible deployments.
Space of possible deployment architectures
Dig : 1
Dig : 2
Example of Multiple Deployment Choices over 2-QoS attributes
Latency
Durability
1
5
4
3
2
1 5 4 3 2 6
Deployment 1
Deployment 2
Deployment 3
Deployment 4
Latency
1 5 4 3 2 6
• Pareto Optimal Solution
• Better-Cheaper-Faster----Pick any two !
• Automated support for deployment modeling and analysis.
Deployment Modeling• Modeling Considerations– Software system elements (components and connectors)• Configuration of these elements• Parameters
– Hardware system elements (host machines, network, devices, controllers, etc.)• Configuration• Parameters
– Set of constraints placed on these elements and/or parameters
– Formal definition of QoS dimensions of interest
Deployment Model
Deployment Analysis
• Putting efforts for Planning and Modeling is worthwhile if the model is used efficiently for deployment.
• Detailed analysis has to be done to ensure that.– Are the shortlisted deployments valid ?– Which one of them is the best ?– Does it exhibit acceptable properties ? Or must an even
better deployment be found ?– What is the best deployment possible for the given
system (Ranking of QoS)
Deployment Implementation
Software Deployment Issues
• Change Management• Dependencies among Components• Coordination• Large-scale Content Delivery• Managing Heterogeneous Platforms• Deployment Process Changeability• Integration with the Internet• Security: Privacy, Authentication, and Integrity
Tool Support
• Functions of deployment tools– Model
– Analyze
– Implement
– Monitor
– Update
DeSi
XTEAM
• Provides ADL extension for mobile systems• Implements a set of dynamic analysis on top
of the model interpreter framework• Model Interpreter framework allows the
architect to implement custom analysis techniques without knowing details of semantic mapping
XTEAM
XTEAM Deployment Model and Analysis
Software Mobility
• Physical Mobility• Code Mobility / Logical Mobility– Stateful Mobility (Strong Mobility)– Stateless Mobility (Weak Mobility)
• Code Paradigms– Fixed Code Paradigm• Client-Server
– Mobile Code Paradigm
Mobile Code Paradigms
• Remote EvaluationSource Host Destination Host
Know-how Resources
Destination Host
Source Host
Result
Know-how
Resources
• Code-on-Demand
Destination Host Source Host
Know-how Resources
Source Host
Destination Host
Result
Know-how
Resources
• Mobile AgentHost 1
Host 2
Destination Host
Know-how
Resources 1
Resources 2
State
State
Know-how
Resources 1
Architecture-based Dynamic Adaptation Model
Key Aspects
• Planning (Top Part)• Analysis (Top Part)• implementation should never be modified
without understanding the architectural implications of that modification (Bottom Part)
Code Migration Challenges
Challenges• Availability
• State Management
• Scheduling of migration
• Performance
• Locating code and resources
• Security threat
• Energy Consumption
Mobility Deployment
Maintains State No State
Downtime Not running
Choosing time of migration to maintain performance
Does not affect performance
Time constrained Allows more planning and analysis
Summary• What is Deployment and Mobility ?• Challenges• Deployment Activities– Planning, Modeling, Analysis & Implementation
• Tools Support• Mobility• Mobile Code Paradigm– Remote evaluation, C-O-D, Mobile Agent
References• A Characterization Framework for Software
Deployment Technologies – Antonio Carzaniga, Alfonso Fuggetta, Richard S. Hall,
Dennis Heimbigner, Andre van der Hoek and Alexander L. Wolf
• Software architecture and mobility A roadmap– Nenad Medvidovic, George Edwards
• An architecture-driven software mobility framework – Sam Malek, George Edwards, Yuriy Brun, Hossein
Tajalli, Joshua Garcia, Ivo Krka, Nenad Medvidovic, Marija Mikic-Rakic, Gaurav S. Sukhatme