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Cloud Futures MISA Cloud SIG March 26 th 2013

Cloud Futures MISA Cloud SIG March 26 th 2013. Cloud Computing continues IT evolution to a Utility Model. Cloud computing. Centralized Computing. On Demand Elastic Service Pay as you go Self Serve Pooled Resources Ubiquitous Access. Client-Server. Internet.

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Cloud Futures MISA Cloud SIG March 26 th 2013

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  1. Cloud Futures MISA Cloud SIG March 26th 2013

  2. Cloud Computing continues IT evolution to a Utility Model Cloud computing Centralized Computing • On Demand Elastic Service • Pay as you go • Self Serve • Pooled Resources • Ubiquitous Access Client-Server Internet See NIST Definition of Cloud @ http://www.nist.gov/itl/cloud/upload/cloud-def-v15.pdf Mobile Virtualization

  3. Now - continued exploration of the frontier • Learning from early adopters- spurs acceptance • Looking for Service Value Beyond IaaS • PaaSifying the middleware layer • SaaSifying major blocks of enterprise value • More Shared, Community, neighbourhood clouds • Testing privacy and security policies and developing standards for public cloud use and integration • Enterprise-grade private and public cloud services with management services that meet business functional needs • CloudifyingIT procurement and funding models

  4. Next 2-3 years - settling the frontier LinkedData, OSLCTOSCA OpenStackOpen SourceReference • Truer clouds, common open architectures- less cloud-’washing’ • True integration and interoperability of clouds • Open Cloud Source stacks for flexibilty • Cloud Ecosystem Integration • Data feeds, portability and reduced gravity • More tools for Management and Governance of Cloud ‘fiefdoms’ • workload orchestration across hybrid cloud deployments • Easier monitoring and management of the usage Cloud StandardsCustomer Council(CSCC) Cloud Computing Reference Architecture (CCRA)

  5. 2015 and beyond- Smarter Computing • Confluence of mobile, social, cloud and Big Data • Software defined network, compute and storage environments • Scalable Business as a Service Ecosystems • Cognitive computing as a Service – 5 Senses

  6. Workload Abstraction Functional and non-functional requirements that may be discovered as well as specified Resource AbstractionSemantically rich abstractions of heterogeneous resource capabilities and system components C C C Mapping to resourceMap requirements to potential system architectures. Proactively orchestrate infrastructure and workload Continuous OptimizationAutonomously construct available system architecture to optimize workload outcome Agility Consumability Efficiency Future View - Software Defined Environments (SDE) will enable greater software control of cloud ecosystems at granular levels . Workload Abstraction Managed Services SDE Unified Control Plane Allows rich resource abstractions to assemble purpose-fit systems optimized across heterogeneous resources Resource Abstraction Software Defined Network Software Defined Storage Software Defined Compute Virtualized Network Control plane separated from the hardware to the software layer Virtual Storage Layer Heterogeneous Compute Resources Programmable infrastructures allow dynamic optimization to respond to business requirements

  7. Smart Cities know how to develop, use & manage shared utilities. With cloud computing - IT is next utility

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