Grids: the means to what ends?Presentation Transcript
The 451 Group Grids: the means to what ends? Steve Wallage Director of Research William Fellows Principal Analyst
The 451 Group
Technology industry analyst company
Agenda: enterprise IT innovation
Analysis that is timely; insight that is dynamic
Network of 700+ client organizations globally
Grid Adoption Research Service (GARS)
Tracking 250+ enterprise early adopters
Across a range of sectors:
Financial services, telco, pharma, film and gaming, manufacturing, energy, hi-tech, healthcare
Common business and technology functions:
Measuring value, software licensing, data management, utility computing, application development/design, state of market
Enterprise Computing Strategy industry summits
EARN-IT: Early Adoption Research Network - IT
GARS - Grid Adoption Research Service
CAOS - Commercial Adoption of Open Source
Security, mobile enterprise…
Our work with the EC
FP6 GridEcon project looking at economic and business models for grid usage
Leading technical working group (TWG7) on business models and SLA for grids
European Grid Co-ordination Technical Committee
Member of NESSI
451 view of market - agenda
Overall state of the market
Levels of deployment
What to call it?
70% of respondents said there is a better term than ‘grid’ to describe their distributed computing architecture:
Drivers – GARS users 77% 57% 49% 41% 26% Time to Market Competition Do New Things Save Money Improved Performance
Drivers – a broader look
Drivers – proving the business case
Tangible vs intangible
Proof of concept
Challenges – GARS interviews 46% 33% 33% 31% 28% 20% 19% 19% 18% 18% 15% 14% 1% Semantic Web Skills Shortage App Dev Lack of Standards Prove ROI Grid to Utility Grid to SOA Grid Enabling Apps Security Data Mgmt Cultural Bandwidth Licensing
Challenges – a broader look
Challenges – experiences from a different perspective
Security policies: consistent and enforced across the grid
Lack of standards prevent interoperability of components
Current IT culture is not predisposed to sharing resources
Not all applications are grid-ready or grid-enabled
Open source is not equal open source (read the small print)
SLAs based on open source (liability?)
“ Static” licensing model don’t embrace grid
Protection of intellectual property
Legal and tax issues (FDA, HIPAA, multi-country grids)
Ownership and control
Importance of stakeholders
Deployment – by vertical
Vertical market - differences
Range of applications
Use of desktop scavenging
Use of outsourcing
Use of open source
Where are we going? William Fellows
Levels of deployment
Next - support broader IT objectives
What do we know?
The sweet spots of activity are:
Platform for shared services
In other words, a technology infrastructure and an application infrastructure.
The key technology drivers
SOA, SOLE, SOIT, SOE….
New approaches to power, performance, space
Enterprises are experiencing benefits from infrastructure virtualization
Virtualization is being applied at every layer of the IT stack - compute, network, data and apps
Concerns: sweeping complexity under the carpet, performance overheads, license costs, vendor lock-in, too many moving parts?
Virtual appliances rival SaaS?
Do grid and virtualization intersect, converge or collide?
One approach: a layered view (from EGA reference model) Each physical layer provides abstraction to the layer above Each virtualized layer provides a flexible mapping/management Network Compute Storage Switches, Routers etc. Servers, Blades etc. Disks, Array Controller, SAN switches etc. Physical VLANs Hypervisors LUNs Virtualized Physical Network protocols e.g. TCP/IP, UDP Operating Systems e.g. Linux, Windows File systems e.g. NTFS, Ext3 Operating Environment Load balancing, Global IP, Virtual IP Virtual Machine Monitors, Solaris Containers, BSD Jails NFS, CIFS, SMB, NAS Virtualized Operating Environment Web Server App Server Database Platform Instance Server Farm Compute Grid Data Grid Virtualized Platform Customer Portal Risk Management Reference Data Business process / service
Grid and virtualization: vectors intersect
Virtualization - a vehicle to realize the dream of grid computing?
Mapping virtual workspaces to physical resources - virtual grids
The end of grid?
Battle for control - vendors extending into other territories
Grid and enterprise utility
Leading adopters implementing ‘grid economy’ across shared resources
Requires willingness to participate in a shared IT infrastructure
Self-service is a driver
SaaS and open source are cost-effective and additive
Next steps - SLA monitoring, policy management, chargeback across heterogeneous resources
Grid and public utility computing
Grid delivers economies of scale for next-generation hosting providers = increased adoption
Are we ready for utility computing now? (Yes, but don't call it that)
So what is interesting?
Issues: multi-tenanted, per-drink pricing, software licenses, SaaS pricing complexity, lack of app services, loss of budget predictability
Grid and public utility computing
Users with enterprise utilities are more likely to examine other outsourcing options
Back in the conversation but won’t be an 'all or nothing' play
A lot of marketing, but not yet a market
Telcos become IT services providers. Google, Amazon, eBay take on incumbents (eBay financial markets?)
IT as a utility
80% culture change - 20% technology integration
Back to the future?
Charge to a business metric not CPU/hour - at the service delivered to the user not resources used at backend
Cheaper in-house? Outsourced CPU suppliers need better pricing models
Rebirth of cool
Enterprise datacenter sales used to be two dimensional - what is the performance and what is the cost?
Power consumption, heat dissipation, space and their SLAs are top of procurement conversations
Blades = less space but more more heat
Rebirth of mainframe cooling techniques - IBM cool door, HP cool fan, Green Grid..
Other approaches: pooling/outsourcing for peak loads, multicore, FPGA, cell, GPUs, streaming CPUs
Rebirth of cool
US EPA Energy Star program: “every dollar spent on IT equipment, $3 to $4 is spent on operating it over its life”
Energy costs for UK businesses have increased by 57% during the last 12 months, and now form a significant element of operational expenses, often greater than IT equipment depreciation and sometimes greater than real-estate costs
How to factor into ROI? Return on Environment - new metric for technology innovation
451 Group report: ‘EcoEfficient IT’
Banks’ verdict: grid is good for…
Looks capable of driving sustainable, long-term and linear cost savings and performance improvements
Use of grids to scale across the organization and support additional activities such as exotics
Can common approaches (above the waterline) drive differentiation and competitive advantage?
Return to spending on innovation instead of managing complexity
Utility, flexibility, scale - agility
Scale: “This year's exotic can easily become next year's flow.”
Who do we know about?
Interface between compute grid and data grid/cache
File systems are a bottleneck – storage startups solve it?
Storage not kept up with compute power
Latency is a business issue not a technology issue - for faster business cycles the time to execute must be less than the time to act