Massachusetts Open Cloud Initiative


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This presentation was part of the OpenStack Boston Meetup on Oct 23th, 2013. OpenStack is being proposed as a platform for the Massachusetts Open Cloud. The Massachusetts Open Cloud (MOC) will be a public cloud based on a new model that allows many companies and institutions to participate in its implementation and operation. It will provide services ranging from what is termed Infrastructure as a Service (IaaS), the provisioning of basic computation in the form of virtual machines, up through higher layers such as application and Big Data platforms and services. A central focus of the MOC will be its use for solving problems that require analysis of massive data sets such as those targeted by the Commonwealth’s Big Data Initiative, taking advantage not only of services offered by the MOC but the ability to efficiently exchange large volumes of data between MOC users.

Unlike existing proprietary public clouds, where all of the technology is controlled by a single entity, the MOC will operate as a marketplace in which hardware capacity, software and services can be flexibly supplied, purchased, and resold by many participants.

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Massachusetts Open Cloud Initiative

  1. 1. The Massachusetts Open Cloud (MOC) Orran Krieger (BU) Peter Desnoyers (NEU), Daniel Kamalic (BU) Credit/Collaborators: John Goodhue(MGHPCC), Peter Desnoyers (NEU), Chris Hill (MIT), Azer Bestavros (BU), Daniel Kamalic (BU), Jonathan Appavoo (BU), Alex Benik (Battery), Azer Bestavros (BU), John Byers (BU), David Cohen (EMC), Chrys Lynch (Atlas), Gene Cooperman (NEU), Peter Desnoyers (NEU), Srini Devadas (MIT), Shafi Goldwasser (MIT), Sharon Goldberg (BU), John Goodhue (MGHPCC), Michael Goroff, Jan Mark Holzer (Red Hat), David Emory Irwin (UMass), Frans Kaashoek (MIT), Orran Krieger (BU), Jim Kurose (UMass), Barney Maccabe (ORNL), Sam Madden (MIT), Jeff Nick (Pivotal), Paul Rad (Rackspace), Andrei Ruckenstein (BU), Larry Rudolph (MIT), Margo Seltzer (Harvard), Prashant Shenoy (UMass), Salil Vadham (Harvard), Daniel Wichs (NEU), Nickolai Zeldovich (MIT), Michael Zink (UMass)…
  2. 2. Cloud computing • Clouds having a dramatic impact: • • • Consumer: ondemand access to inexpensive computational capacity, pay for what you use Producer: economy of scale, automation Like power, most computation will move into public clouds.
  3. 3. Problems with today's “closed” public clouds • Highly prescriptive in HW, computational model, economic model; focus on scale-out web applications • • Operational/performance data limited to the single provider Limiting research, innovation by third parties ➡ ➡ • technology companies locked out of public clouds; disconnect with private clouds difficult for anyone else to efficiently support/innovate Big data platforms, No visibility/auditing of internal operations: ➡ • • • Major security challenge for hosting critical datasets Accretion of features/services into Provider offering Monoculture increasingly dangerous Vendor lock in by features, interfaces, and pricing model.
  4. 4. A new model is required: an “open cloud” • • • • • Multiple “partners” participate in implementing and operating cloud Each partner determines how to charge for her services Operational data visible to stakeholders Domain specific “intermediaries”: provide customers with simple model enable optimization Multi-sided marketplace • • Web HP HP Big Data ... HPC Rackspace Red Hat ... SeaMicro Quanta
  5. 5. The Opportunity • • • • • • OpenStack provides most of what we need: • modular structure with multiple independent services and support for plugins 15 MW MGHPCC data center, low power cost, excellent network connectivity... MGHPCC consortium: BU, MIT, NE, UMass, Harvard. • • Operate production cloud capacity for research computation & enable Big Data & HPC users Enable research in Big Data, Cloud Computing Incredible regional cluster of technology companies and innovative users of technology Commonwealth Big Data Initiative Launched attempt to create “Massachusetts Open Cloud (MOC)” as a partnership: State, MGHPCC, Industry
  6. 6. Value to Technology Partners • A neutral platform where private-cloud participants can integrate, test and certify their HW and SW • Access to users and rich data about how products are used • Demonstrate technologies to be sold to private and public clouds • Evaluate new products with real customers at an early stage • A platform to engage with the broad research community in the participating institutions • Access to a community of students across the institutions working on Cloud Computing and Big Data • An environment to demonstrate value to State, Federal
  7. 7. Status • Key  part  of  State’s  big  data  ini4a4ve:  LOI  for  $3M:  will  host  the  states  public   data  sets  and  enable  startups  in  Big  Data... • MLSC  funding  $4.5M  to  create  cloud  for  life  sciences  users  to  advantage   research  and  local  life  science  industry • Approval  from  consor4um  to  use  HGHPCC  15MW  data  center • ORNL  puPng  together  plan  to  par4cipate. • By  the  end  of  October  full  proposal  to  State  for  $3M,  need  to  raise  at  least   $9M  in  matching  involvement  from  founding  partners:   – Pending  &  exis4ng  commits:  XXXX – In  conversa4on:  XXXX – >  $6M  locked  down,  expect  remaining  commitments  to  come  in  on  4me • In  a  good  posi4on  to  compete  for  $10M  NSFcloud  testbed  grant  in  Dec 7
  8. 8. Our  ask • Leers  of  support  (by  next  week) • Use  cases • Development  collabora4on • People  interested  in  posi4ons... 8