Cloud Power Demand Computing

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Cloud Power Demand Computing Powered By Docstoc
					Asst.Prof.Dr.Surasak Mungsing
   What is demand computing?
   Cluster, grid, and cloud computing

   Examples of demand computing
   Demand computing handling techniques
   How cloud handle demand computing?
   Limitation of demand computing?
   On-demand computing (ODC) is a business computing
    model that allows companies to provide access to
    computing resources as they become necessary,
    rather than full time

   a computing and communications infrastructure that
    facilitates flexible business service delivery and provides
    the basis for:
    ◦ Autonomic computing
    ◦ Fast response to external business-affecting changes.
    ◦ Adaptive business processes to protect revenues and
      contain costs
    ◦ Complex interactions inside and outside of organizational
    ◦ Resilience against external threats such as viruses,
      intrusions, and power outages.
IBM has identified five levels of autonomic computing:
 Basic: Highly skilled staff required; very hands-on; business is often
  hostage to IT outages.
 Managed: Skilled staff required to interpret management data; small
  amount of automation; business may still be hostage to IT outages.
 Predictive: Not-so-skilled staff interpret and approve actions; more
  automation; business may still be hostage to IT outages, though less
  frequently than before.
 Adaptive: Staff monitor automated changes/corrections and ensure
  good system performance; business may still be hostage to IT
  outages, but these can be contracted using service-level
 Autonomic: Fully automated; staff focuses on facilitating the
  business in line with stated policies.
   a group of linked computers, working
    together closely thus in many respects
    forming a single computer

   Cluster computing category
    ◦ High-availability (HA) clusters
    ◦ Load-balancing clusters
    ◦ Compute clusters

   High-availability (HA): clusters are linked
    together to share computational workload or
    function as a single virtual computer
   Load-balancing clusters: multiple computers are
    linked together to share computational workload
    or function as a single virtual computer
   Compute clusters: Often clusters are used
    primarily for computational purposes, rather than
    handling IO-oriented operations such as web
    service or databases
   Closed system cluster computing
    ◦ Internal Connected
    ◦ high security
    ◦ only 1 IP address, each node cannot manage
      external data

   Open system cluster computing
    ◦ Direct connect to external network
    ◦ each node has its own IP address
    ◦ suitable for being web servers or ftp servers
   a special type of parallel computing that relies
    on complete connected to a network by a
    conventional network interface, such as
   combination of computer resources from
    multiple administrative domains to reach a
    common goal
   Grid size can vary by a considerable amount
Source :
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พัฒนาเทคโนโลยี กริดแห่งชาติ (Thai National Grid Center)” โดยมีมติ ครม.ให ้จัดขึนเมือ
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วันที่ 28 ธันวาคม 2547 สงกัดกรมสงเสริมอุตสาหกรรมซอฟต์แวร์กระทรวงเทคโนโลยีและ
   Cloud computing means using multiple
    server computers via a digital network, as
    though they were one computer.
    ◦ Often, the services available are considered part of
      cloud computing.
   Cloud computing shares characteristics with:
    ◦ Autonomic computing — computer systems capable of self-management
    ◦ Client–server model – client–server computing refers broadly to any distributed
      application that distinguishes between service providers (servers) and service
      requesters (clients)
    ◦ Grid computing — a form of distributed computing and parallel computing, whereby
      a 'super and virtual computer' is composed of a cluster of networked, loosely coupled
      computers acting in concert to perform very large tasks
    ◦ Mainframe computer — powerful computers used mainly by large organizations for
      critical applications, typically bulk data processing such as census, industry and
      consumer statistics, enterprise resource planning, and financial transaction
    ◦ Utility computing — the "packaging of computing resources, such as computation
      and storage, as a metered service similar to a traditional public utility, such as
    ◦ Peer-to-peer – distributed architecture without the need for central coordination,
      with participants being at the same time both suppliers and consumers of resources
      (in contrast to the traditional client–server model)

    ◦    Service-oriented computing – Cloud computing provides services related to
        computing while, in a reciprocal manner, service-oriented computing consists of the
        computing techniques that operate on software-as-a-service.
   self-managing computing model named
    after, and patterned on, the human body's
    autonomic nervous system
   control the functioning of computer
    applications and systems without input from
    the user
   The goal of autonomic computing is to create
    systems that run themselves, capable of
    high-level functioning while keeping the
    system's complexity invisible to the user
   a type of distributed computing in which computer
    owners donate their computing resources (such as
    processing power and storage) to one or more

   Costs for volunteer computing participants
    ◦ Increased power consumption - A CPU that is idle
      generally has lower power consumption than when
      it is active
    ◦ Decreased performance of the PC - If the volunteer
      computing application attempts to run while the
      computer is in use, it will impact performance of
      the PC
   Grid Computing is computing technology that
    includes a combination of computer resources that
    offers seamless access to computing power and data
    storage capacity distributed over the globe

   Cloud Computing: Developed from grid computing
    technology, cloud computing technology offers highly
    flexible on-demand provisioning of its resources
   Grid computing is focused towards solving a
    computational problem whereas Cloud computing
    is focused towards providing 'On Demand' services.
    Types of services provided by Cloud Infrastructure
    a) SaaS (Software as a Service)
    b) PaaS ( Platform as a Service)
    c) IaaS (Infrastructure as a Service)

   Grid Computing is possible only with applications
    that can be parallelized whereas Cloud computing
    does not have any such restriction.

   In Grid, resource allocation is primarily controlled
    by the contract between the user (known as Virtual
    Organization) and allocator (known as Admin
    Domain). Therefore a user, irrespective of his
    requirement will always get the resources ONLY as
    agreed upon in the contract.
    On the other hand in Cloud there is no such
    restriction. Cloud supports 'On-Demand'
    provisioning as it follows the principle of 'Pay as
    you go'. Based on the user's requirements Cloud
    will allocate the required resources thus enabling
    easy scalability in order to achieve the desired SLA.

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