Design of a Platform of Virtual Service Containers for Service Oriented Cloud Computing - PowerPoint PPT Presentation

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Design of a Platform of Virtual Service Containers for Service Oriented Cloud Computing

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... PLATFORM OF VIRTUAL SERVICE CONTAINERS FOR SERVICE ORIENTED CLOUD COMPUTING. Carlos de Alfonso. Andr s Garc a. Vicente Hern ndez. INDEX. Introduction. Our approach ... – PowerPoint PPT presentation

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Title: Design of a Platform of Virtual Service Containers for Service Oriented Cloud Computing


1
Design of a Platform of Virtual Service
Containers for Service Oriented Cloud Computing
  • Carlos de Alfonso
  • Andrés García
  • Vicente Hernández

2
Index
  • Introduction
  • Our approach
  • Platform design
  • Storage
  • Security
  • Management and QoS
  • Catalogue
  • User Interface
  • Virtual Container
  • User profiles
  • Working lines and open problems

3
Introduction
  • In the latter years there have been a growing
    interest in Cloud Computing technologies and its
    possible applications.
  • There have appeared many commercial products
  • Mainly storage and Infrastructure as a Service.
  • Storage examples Amazon S3, Nirvanix, Savvis
  • IaaS examples Amazon EC2, GoGrid, 3Tera
  • Other examples Google App Engine, Salesforce,
    Engine Yard
  • Some small sets of open Cloud Computing tools
    have been also developed.
  • Eucalyptus, Nimbus, OpenNebula, Enomaly,
    Abicloud, etc.
  • Almost any of them are oriented to the IaaS
    level, since there is a lack of research projects
    towards other cloud approaches.

4
INTRODUCTION
  • Currently most of cloud computing solutions are
    focusing in the lowest levels of the
    infrastructure.
  • Virtual machine deployment and management
    infrastructure.
  • Storage management infrastructure.
  • The current approach of vendors, to deploy
    Services in the cloud, is based in those levels
    instead of Services virtualization.
  • Providers approach is to package a preconfigured
    service in a virtual machine image, and deploy a
    whole virtual appliance to run the service.
  • There are some drawbacks like the waste of
    resources, a less direct service management, the
    low abstraction level, etc.

5
Our approach
  • To offer a platform which enable developers to
    deploy and to manage virtual services as IaaS
    platforms deploy and manage virtual machines.
  • That means to deploy only the service instance
    that is needed, instead of deploying the whole
    virtual appliance.
  • Allow consumers to search and use services in a
    Software as a Service basis.
  • Usage on demand, access via internet,
    scalability, monitoring, etc.
  • Provide the platform administrators with a
    transparent security model, and a framework to
    define QoS constraints and SLA with developers
    and consumers.
  • Including mechanisms such as authentication and
    authorization, user preferences, usage limits,
    etc.

6
Platform design
  • The platform is composed by a set of
    interconnected functional modules and two
    abstraction layers.
  • An abstraction layer is conceived as an Interface
    used by the components, independently of the
    underlying implementation.
  • A module is defined as an individual software
    component that can be instanced, added or removed
    to the platform.
  • A platform instance is formed by at least one
    instance of each module.
  • Each module implements a specific functionality.
  • Modules interact with each other via messages.

7
Platform design
  • The following diagram outlines the general
    architecture of the platform components.
  • Vertical boxes represent layers, not directly a
    implementing component.
  • Horizontal boxes represents system components.

8
Layers Storage
  • A virtual storage layer provides a set of
    features.
  • Ubiquitous access to data.
  • Any service should be able to read any data
    independently of where the service is running or
    where the data is stored (under the scope of the
    platform).
  • Virtualized file system.
  • Final users do not care about where to store
    data.
  • Users are provided with a virtual uniform file
    system, even if files are stored in physically
    distributed places
  • Isolation.
  • Users are only able to read and write what they
    are authorized to.
  • Data management, replication and QoS.
  • Need to move the data where the problem is or
    to deploy the problem where the data is.
  • Need to replicate or move data to improve
    resilience and QoS.
  • Need to be done transparently via SLA and
    developer directives.
  • Different implementations are to be made, to
    couple this virtual layer to the physical system
    where the data will be stored.
  • Usage of GridFTP.
  • Connection to the Amazon S3 system.
  • Just the local hard drive.

9
Layers Security
  • The platform makes use of a default security
    system.
  • Any users, either administrators, developers or
    consumers are identified by a credential.
  • The credential provides authentication and it is
    used for authorization.
  • Each user identity is bound to a set of
    preferences, SLA and storage.
  • Credentials enable developers to deploy services,
    manage them and negotiate QoS agreements with the
    platform.
  • Credentials enable consumers to search and use
    deployed services in a private virtual space,
    having access only to their own personal service
    instance.
  • Credential delegation allows service composition
    and cloud interoperability.

10
Components Management and QoS
  • The Management and Quality of Service component
    provides the functionality to deploy and to
    manage services while maintaining a reasonable
    quality of service of the platform.
  • The management module provide a set of
    functionalities.
  • Service deployment, to deploy copies of the
    service bundle in a set of Virtual containers.
  • Service undeployment from the Virtual containers,
    keeping alive the running service instances until
    they finish.
  • Upgrade services to new versions, so that the new
    service requests will get an instance of the new
    service, and not the old one. The downtime is
    minimized by using an upgrade protocol.
  • Live migration, for undeploying a service from a
    virtual containers and deploying it into another
    one, minimizing the downtime and keeping running
    instances alive.
  • Using the live migration ability, it provides
    load balancing and auto scale based in a certain
    criteria.
  • Developers can attach a SLA to each service,
    based on its own base SLA, to specify parameters
    such as minimum number of replicas, geographical
    constraints in the deployment place, etc.

11
Components Management and QoS
  • The QoS module provides resilience and avoids the
    degradation of the service quality.
  • The QoS module monitors the state of the platform
    and performs actions to improve the general
    performance.
  • Live service migration and service replication
    allows load balancing.
  • Replication of platform components provides
    resilience.
  • The Interoperability module complements the QoS
    module.
  • When the platform cannot meet the requirements of
    its SLA due to overload, components failures,
    etc., it can negotiate with other clouds the rent
    of resources.
  • Platforms will negotiate based on their own
    platform credentials, SLA, the resources required
    and a internal policy set by the system
    administrators.

12
Components Catalogue
  • The Catalogue stores information about the state
    of the platform as a whole.
  • Each module provides the Catalogue with specific
    information about different aspects of the
    platform, sending status reports periodically.
  • Services Provide information about services,
    their name, developer, description and a
    reference to the resource itself. Service
    consumers use this catalogue via the User
    Interface in order to get access to the services.
  • Metrics Provides a snapshot of the platform
    state e.g. number of components, number of
    services, active service images, service CPU
    consumption, etc.
  • Statistics Provides long term information about
    the platform and its services e.g. usage info for
    services.

13
Components Catalogue
  • The Catalogue component work as a peer-to-peer
    distributed hierarchical system.
  • Inspired by existing P2P discovery models for
    Grid systems.
  • Catalogues are organized in groups, associated to
    a platform, and each catalogue has only a partial
    state of the group.
  • A query must be distributed to every member on
    the group in a P2P basis.
  • Catalogue groups are organized hierarchically,
    and queries in a group must be distributed to
    their child groups.
  • Queries to one member of a group are broadcasted
    to the whole group.
  • Each module reports its status to a set of n
    catalogues, using a hash algorithm.
  • This organization provides resilience
    capabilities and improves the QoS.
  • There are no single points of failure, implements
    a load balancing between nodes.
  • Hierarchical organization of the catalogues may
    enable a logical association of clouds.
  • Several private clouds can be federated in a top
    level cloud.
  • Defining such top level catalogue group would
    allow users to access services in a
    semi-centralized way.

14
Components User Interface
  • The UI is the entry point to the whole platform,
    which provides consumers and developers with
    different functionalities, according to the
    profile and needs.
  • It acts as a platform front-end, connecting
    external users and applications to the other
    components.
  • This component does not implement any
    functionality per-se, but calls other components
    to perform different tasks.
  • Query the catalogue for information.
  • Deploy, undeploy and manage services.
  • Define user parameters or preferences.
  • Etc.

15
Components Virtual Container
  • Virtual containers are the key component of the
    Virtual Service Platform.
  • This component run and give access to the
    virtualized services.
  • A Virtual Container is a regular service
    container with additional functionality such as
    functions to deploy, undeploy and migrate
    services, as well as statistics and metrics
    tracking and a security framework to fit the
    platform.
  • The virtual containers make use of most of the
    components outlined in previous slides.
  • Virtual Containers define what kind of virtual
    services support our platform.

16
User profiles
  • Developers can deploy services in the platform
    written in any supported language, provided that
    it is instrumented with the platform API
    primitives.
  • Service deployment and management is made via
    User Interface.
  • A different SLA can be specified to each service
    based in the developer personal SLA.
  • It is possible the usage of hosted services by
    other services, due to the credential delegation.
  • Consumers can use services deployed in the system
    by providing their credentials to be
    authenticated.
  • Query the catalogue to get info about hosted
    services.
  • Ask the manager for a service.
  • Once an service reference is retrieved, it can be
    used directly.

17
Working lines and open problems
  • Some problems about the platform design are
    solved, while other are yet to be studied.
  • The SLA definition language.
  • Define the load balancing terms.
  • Mechanisms and languages for cloud
    interoperability and resource negotiation.
  • Adaptation of regular service containers to a
    Virtual Service Platform.
  • Definition of the adequate security framework.
  • Design of the proper storage organization.
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