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      • An elastic cloud is a cloud computing offering that provides variable service levels based on changing needs.
      Elasticity is an attribute that can be applied to most cloud services. It states that the capacity and performance of any given cloud service can expand or contract according to a customer's requirements and that this can potentially be changed automatically as a consequence of some software-driven event or, at worst, can be reconfigured quickly by the customer's infrastructure management team.
      Elasticity has been described as one of the five main principles of cloud computing by Rosenburg and Mateos in The Cloud at Your Service - Manning 2011.


      History


      Cloud computing was first described by Gillet and Kapor in
      1996;
      however, the first practical implementation was a consequence of a strategy to leverage Amazon's excess data center capacity.
      Amazon and other pioneers of the commercial use of this technology were primarily
      interested in providing a “public” cloud service, whereby they could offer customers the benefits of using the cloud, particularly the utility-based
      pricing model benefit.
      Other suppliers followed suit with a range of cloud-based
      models all offering elasticity as a core component, but these suppliers were
      only offering this service as an element of their public cloud service.
      Due to perceived weaknesses in security, or at least a lack
      of proven compliance, many organizations, particularly in the financial and
      public sectors, have been slow adopters of cloud technologies. These
      wary organizations can achieve some of the benefits of cloud computing by
      adopting private
      cloud
      technologies.
      An alternative form of the elastic cloud has been offered
      by vendors such as EMC and
      IBM,
      whereby the service is based around an enterprise's own infrastructure but
      still retains elements of elasticity and the potential to bill by consumption.


      Description


      Elasticity in cloud computing is the ability for the
      organization to adjust its storage requirements in terms of capacity and
      processing with respect to operational requirements. This has the following
      benefits:
      Operational Benefits - Services
      can be acquired quickly, meaning that the evolving requirements of the business
      can be addressed almost immediately, giving an organization a potential agility
      advantage. A properly implemented elastic system will provision/de-provision
      according to application demands, so if a particular business has activity
      spikes then the provision can be enabled to match the demand and the capacity
      can be re-allocated.
      Research and Development (R&D) Projects - R&D activities are no
      longer hindered by a requirement to secure a capex budget prior to a project
      starting. Capability can simply be provisioned from the cloud and released at
      the end of the exercise.
      Testing and Deployment - With
      most large-scale projects a size test needs to be performed prior to final
      rollout. By taking advantage of the elasticity of the cloud and creating a full-scale
      avatar of the proposed production system, realistic data and traffic volumes
      can be provisioned and released as needed.
      Expensive Resources Allocated - This will normally apply only
      in the context where a customer is applying at least some of their own servers
      as part of a cloud infrastructure, specifically where a business (for
      performance reasons) has decided to invest in solid-state storage as opposed to
      spinning platters. There are instances when, due to activity spikes, a less
      critical process may need to be moved from the high-performance resources to
      more traditional storage.
      Server Specification - When
      a customer has elected to own/lease hardware, they can select and specify
      servers that are specifically tuned to meet the likely needs of their operation
      (i.e., directly controlling the cost/benefit equation).
      Utility Based Payments - There
      is, of course, a key cost driver in this process, and the notion that you
      should pay for what you consume is acceptable for many organizations. When
      hardware capacity is sourced internally, organizations need to over-provision.
      This applies just as much to traditional outsourcing as it does to capex-related
      expenditure on in-house servers.
      Cloud Platform – At the heart
      of any cloud storage system is the ability to manage hyperscale object storage
      and a Hadoop
      Distributed Files System (HDFS). Elastic storage capability is particularly
      well suited to hyperscale
      and Hadoop environments, where its capability to rapidly respond to changing
      circumstances and priorities is essential


      See also


      EMC.com
      Software-defined storage
      Object storage
      Amazon Web Services
      DigitalOcean
      HP Converged Cloud
      IBM Cloud Computing
      Microsoft Azure
      OpenStack
      Rackspace
      Skytap
      VMware


      References

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