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Cloud Computing. Bill Turnbull Associate CIO for Advanced Technology and Systems Integration Department of Energy. Outline. Federal Perspective GSA role DOE Administrative Use Research Other Agencies. Federal Perspective - OMB. Analytical Perspectives, FY2010, Chapter 9, p.158:

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Cloud computing

Cloud Computing

Bill Turnbull

Associate CIO for Advanced Technology and Systems Integration

Department of Energy


Outline

Outline

  • Federal Perspective

    • GSA role

  • DOE

    • Administrative Use

    • Research

  • Other Agencies


Federal perspective omb

Federal Perspective - OMB

  • Analytical Perspectives, FY2010, Chapter 9, p.158:

    • The Federal Government will transform its Information Technology Infrastructure by virtualizing data centers, consolidating data centers and operations, and ultimately adopting a cloud-computing business model. Initial pilots conducted in collaboration with Federal agencies will serve as test beds to demonstrate capabilities, including appropriate security and privacy protection at or exceeding current best practices, developing standards, gathering data, and benchmarking costs and performance.

      http://www.whitehouse.gov/omb/budget/fy2010/assets/crosscutting.pdf


Federal perspective cio council

Federal Perspective – CIO Council

  • Federal CIO Council Cloud Computing WG

    • Definition (NIST)

    • Principles

    • Industry Summit

    • Exec. Steering Committee/Advisory Committee


Fed perspective definition

Fed. Perspective - Definition

  • Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. This cloud model promotes availability and is composed of five essential characteristics, three delivery models, and four deployment models.

  • Characteristics

    • On-demand self-service

    • Ubiquitious network access

    • Location independent resource pooling

    • Rapid elasticity

    • Measured service

  • Delivery Models: SaaS, PaaS, IaaS

  • Deployment Models

    • Private Cloud

    • Community Cloud

    • Public Cloud

    • Hybrid Cloud


Fed perspective principles

Fed. Perspective - Principles

  • Efficiency

    • identify and use excess capacity

    • cost-effective procurement of commodity services

    • reduce power usage and environmental footprint

  • Agility 

    • rapid deployment

    • ability to quickly respond to changing needs

    • ability to scale according to demand

  • Security 

    • implement controls to ensure appropriate security

    • privacy - appropriately protect personal information

  • Accountability 

    • measuring and improving service, cost, and performance

    • make data and services more easily available to the public

  • Savings 

    • up-front investments for future savings


Fed perspective industry summit

Fed. Perspective – Industry Summit

  • Top 5 vendor issues:

    • Security issues need to be resolved with each individual provider

    • Modification to several contracting/purchase vehicles to facilitate the purchase of cloud services

    • Long lead times for Federal opportunities.

    • Cost models are aggressive, but may not have an accurate cost model

    • Improve notification of federal opportunities so that they are easier to find for vendor community.

  • No show-stoppers


Fed perspective future organization

Fed. Perspective – Future Organization

  • Cloud Computing WG  Cloud Computing Executive Steering Committee

  • Cloud Computing Advisory Council


Clouds at gsa

Clouds at GSA

  • Hosts PMO

  • Setting up store front

  • RFQ out for IaaS

    • Award by end of FY 2009

  • Hosts PMO


Clouds in doe

Clouds in DOE

  • Administrative Steps

  • Research on Clouds


Doe approach

DOE Approach

  • Understand range of services, architectures, and policy issues

  • Gain experience in cloud technologies, services, costs and risks

  • Assess opportunities

  • Pilot select apps/services

  • Move to clouds where cost-effective


Doe cio

DOE – CIO

  • Over 800 applications in 2 data centers

    • Virtualized Computing

    • Virtualized Storage

  • Looking to pilot web hosting using GSA store front


Doe lab administration

DOE – Lab Administration

  • Lawrence Berkeley National Laboratory

    • Backup & restore – exploring S3

    • Google Apps

      • Group Collaboration Platform

      • Collaborative authoring

      • Chat

      • E-mail with LBL authentication

  • Philosophy Check:

  • Supports external collaborators trivially.

  • Makes cutting edge tools available to LBL researchers.

  • Gets IT out of the business of duplicating commodity services.

  • Not free/open source.

  • Lock in is very much a possibility.

  • Privacy/Security is different (better in some ways, worse in others).


Doe lab administration1

DOE – Lab Administration

  • Argonne National Laboratory

    • Primary focus on email & calendaring

      • 3 Phases

        • Phase0: formulation, planning, procurement, etc…

        • Phase1: internal shakedown, 10’s of users

        • Phase2: single organization, 50-100

        • Currently in Phase0, Phase1 t0= Sept 1

        • ~ 3 month duration

    • Other pilots

      • Framework (Force.com, App Engine), Oct 2009

      • Portals – early investigation


Doe labs research

DOE Labs - Research

  • LBL

    • Testing EC2

    • Uses all cores on 8-core nodes

    • Code not latency sensitive


Doe labs research1

DOE Labs - Research

  • Uses 32 cores on 4 nodes

  • Code is latency-sensitive

performance >10x worse


Doe labs research2

DOE Labs - Research

  • ANL

    • Context Broker – provisions multiple cores with consistent image and context on Amazon EC2

      • Works with highly parallel applications


Doe labs research3

DOE Labs - Research

  • EC2 Observations Relatively easy to duplicate ‘our’ cluster environment

  • EC2 slow-down factor varies by application

    • hard to generalize about the cost of EC2

    • latency-sensitive codes perform poorly

  • EC2 might be cost-effective for institutions that:

    • have latency-insensitive workload

    • have limited data center capacity

    • have bursty or deadline-driven work

    • can use EC2 to accelerate time-to-answer


Doe labs future research

DOE Labs – Future Research

  • Magellan

    • R&D effort to establish a nation-wide scientific mid-range distributed computing and data analysis testbed.

      • 2 sites: LBL/NERSC and ANL/ALCF

      • Compute:10’s of teraflops

      • Storage:multiple petabytes

      • One C&A at low; one at moderate

    • Expected Outcomes:

      • Can clouds improve wall clock turn around time

      • Ease of use, particularly across multiple sites

      • Promote open interface specifications for clouds


Other clouds

Other Clouds

  • DISA

    • PaaS

    • 1 rack compute; 1 rack storage

  • NASA

    • Nebula

      • 4000 processors

      • Mostly open source


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