Middleware: State of the Art and Challenges Ahead - PowerPoint PPT Presentation

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Middleware: State of the Art and Challenges Ahead

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The number of users may fluctuate and be unpredictable. A stateful user session is harder to maintain ... DCOM. SOAP. Challenges Ahead. 6. Common Middleware Services ... – PowerPoint PPT presentation

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Title: Middleware: State of the Art and Challenges Ahead


1
Middleware State of the Art and Challenges Ahead
  • Changing environment
  • Enterprise application integration formerly
    independent applications must interact to access
    and share functions and data store in
    heterogeneous DB
  • Internet applications
  • The number of users may fluctuate and be
    unpredictable
  • A stateful user session is harder to maintain
  • Interacting parties belong to independent
    autonomous organizations that do not necessarily
    trust each other
  • insecure medium
  • Communication infrastructure does not provide QoS
    guarantees
  • Open environment, need common ontologies
  • New application interoperate seamlessly with
    legacy applications
  • QoS
  • Nomadic mobility
  • Ubiquitous computing

2
Middleware State of the Art and Challenges Ahead
  • Programming models
  • Client-Server???
  • Asynchronous interaction
  • Shared memory
  • Mobile code and mobile agents
  • Architecture
  • Distribution transparency ???
  • Layering ???
  • Monolithic architectures (no adaptation,
    customization)
  • Dynamic Configuration
  • Disconnected operation
  • Adaptive applications
  • Ad hoc organization
  • intermediaries

3
Middleware State of the Art and Challenges Ahead
  • Middleware
  • Shield software developers from low-level details
  • Amortize software lifecycle, providing reusable
    framework
  • Provide a consistent set of higher-level
    network-oriented abstractions
  • Provide a wide array of reusable services
  • Layered structure of middleware
  • Host infrastructure middleware
  • Distribution middleware
  • Common middleware services
  • Domain-specific middleware services

4
Host infrastructure middleware
  • Encapsulates and enhances native OS communication
    and concurrency mechanisms to create reusable
    network programming components.
  • Java Virtual Machine
  • .Net
  • ACE

5
Distribution Middleware
  • Enable clients to program distributed application
    much like stand-alone applications by invoking
    operation son target objects without hard-coding
    dependencies of their location, programming
    language, OS platform,
  • CORBA
  • RMI
  • DCOM
  • SOAP

6
Common Middleware Services
  • Augment distribution middleware by defining
    higher-level domain-independent services that
    allow application developers to concentrate on
    programming business logic, without the need to
    write the plumbing code required to develop
    distributed applications by using lower-level
    middleware
  • CORBA common object services, event notification,
    transaction, etc.,
  • J2EE
  • .Net Web Service

7
Domain-Specific Middleware Services
  • Service targeted at vertical markets, such as
    telecom, e-commerce, healthcare
  • The Siemens Medical Engineering Group Syngo
  • The Boeing Bold Stroke architecture uses COTS
    hardware and middleware to produce a
    non-proprietary, standards-based component
    architecture for military avionic mission
    computing capabilities

8
Areas of Focus
  • Growing focus on integration rather than on
    programming
  • Next generation applications will increasingly be
    assembled by modeling, integrating, and scripting
    domain-specific and common service components,
    rather than by being programmed either entirely
    from scratch or requiring significant
    customization or augmentation to off-the-shelf
    component implementations.
  • Increased viability of open systems architectures
    and open-source availability
  • Standard interfaces
  • Increased leverage for disruptive technologies
    leading to increased global competition
  • Growing focus on real-time embedded environments
    integrating computational and real world physical
    assets

9
Research Challenges and Strategies
  • Cause of complexity
  • Discrete platforms must be scaled to provide
    seamless end-to-end solutions
  • Components are heterogeneous yet they need to be
    integrated seamlessly
  • Most failures are only partial in that they
    effect subsets of the distributed components
  • Operating environments and configurations are
    dynamically changing
  • large-scale systems must operate continuously,
    even during upgrades
  • End-to-end properties must be satisfied in time
    and resource constrained environments
  • Maintaining system-wide QoS concerns is expected

10
Quality Object (QuO)
  • The QuO architecture decouples DOC middleware and
    applications along the following two dimensions
  • Functional path
  • Flows of information between client and remote
    server applications.
  • The middleware ensures that this information is
    exchanged efficiently, etc.
  • Information is largely application-specific and
    determined by the functionality being provided.
  • QoS attribute path
  • Responsible for determining how well the
    functional interactions behave end-to-end with
    respect to key distributed system QoS properties
  • The middleware is responsible for collecting,
    organizing, and disseminating QoS-related
    meta-information that is needed to monitor and
    manage how well the functional interaction occur,
    and enable the adaptive and reflective
    decision-making needed to support QoS attribute
    properties in the face of rapidly changing
    environmental conditions.

11
Systems of Systems
  • Desired properties
  • Predictability, controllability, and adaptability
    of operating characteristics for applications
    with respect to such features as time, quantity
    of information, accuracy, confidence, and
    synchronization.

12
Specific RD Challenges
  • Providing end-to-end QoS support, not just
    component-level QoS
  • Adaptive and reflective solutions that handle
    both variability and control
  • Adaptive middleware is software whose functional
    and QoS-related properties can be modified either
    statically, or dynamically
  • Reflective middleware permits automated
    examination of the capabilities it offers and
    permits automated adjustment to optimize those
    capabilities.
  • Reflective middleware supports more advanced
    adaptive behavior and more dynamic strategies
    keyed to current circumstances, ie.., necessary
    adaptations can be performed autonomously based
    on conditions within the system, in the systems
    environment or in system QoS policies defined by
    end-user

13
Specific RD Challenges
  • Combining model-integrated computing with DOC
    middleware
  • Toward more universal use of standard middleware
  • Leveraging and extending the installed base

14
Fundamental Research Concepts
  • Contracts and adaptive meta-programming
  • Graceful degradation
  • Multiple behaviors are both feasible and
    desirable
  • Feedback loops so that the application services
    can degrade gracefully as condition change
  • Prioritization and physical world constrained
    load invariant performance
  • Higher level design approaches, abstractions, and
    software development tools

15
Promising Research Strategies
  • Individual QoS requirements
  • Translation of requests for service among and
    between the various entities on the distributed
    end-to-end path
  • Managing the definition and selection of
    appropriate applicati0n functionality and system
    resource tradeoffs with a fuzzy environment and
  • Maintaining the appropriate behavior under
    composability
  • Runtime requirements
  • Addresses the need for run-time monitoring,
    feedback and transition mechanisms to change
    application and system behavior, e.e., through
    dynamic reconfiguration, orchestrating degraded
    behavior or even off-line recompilation.

16
Promising Research Strategies
  • Aggregate Requirements
  • Addresses the system view of collecting necessary
    information over the set of resources across the
    system and providing resource management
    mechanisms and policies that are aligned with the
    goals of the system as a whole.
  • Reservations
  • Admission control mechanisms
  • Enforcement mechanism with appropriate scale,
    granularity and performance
  • Coordinated strategies and policies to allocate
    distributed resources that optimize various
    properties
  • Integration Requirements
  • Address the need to develop interfaces with key
    building blocks used for system construction,
    including the OS, network management, etc..

17
Promising Research Strategies
  • Adaptivity requirements
  • Changes beneath the applications to continue to
    meet the required service levels despite changes
    in resource availability
  • Changes at the application level to either react
    to currently available levels of service or
    request new ones under changed circumstances
  • System Engineering Methodologies and Tools
  • View-oriented or aspect-oriented programming
    techniques to support the isolation and the
    composition
  • Design time tools and model-integrated computing
    technologies to assist system developers in
    understanding their designs
  • Interactive tuning tools to overcome the
    challenges associated with the need for
    individual pieces of the system to work together
    in a seamless manner
  • Composability tools to analyze resulting QoS from
    combining two or more individual components
  • Modeling tools for developing system performance
    model
  • Debugging tools

18
Promising Research Strategies
  • Adaptivity requirements
  • Changes beneath the applications to continue to
    meet the required service levels despite changes
    in resource availability
  • Changes at the application level to either react
    to currently available levels of service or
    request new ones under changed circumstances
  • System Engineering Methodologies and Tools
  • View-oriented or aspect-oriented programming
    techniques to support the isolation and the
    composition
  • Design time tools and model-integrated computing
    technologies to assist system developers in
    understanding their designs
  • Interactive tuning tools to overcome the
    challenges associated with the need for
    individual pieces of the system to work together
    in a seamless manner
  • Composability tools to analyze resulting QoS from
    combining two or more individual components
  • Modeling tools for developing system performance
    model
  • Debugging tools
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