DOCSLIB.ORG

Multi-Site Openstack Deployment Options & Challenges for Telcos

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Multi-Site Openstack Deployment Options & Challenges for Telcos MULTI-SITE OPENSTACK DEPLOYMENT OPTIONS & CHALLENGES FOR TELCOS Azhar Sayeed Chief Architect [email protected] DISCLAIMER Important Informaon The informaon described in this slide set does not provide any commitments to roadmaps or availability of products or features. Its inten+on is purely to provide clarity in describing the problem and drive a discussion that can then be used to drive open source communi+es Red Hat Product Management owns the roadmap and supportability conversaon for any Red Hat product 2 AGENDA • Background: OpenStack Architecture • Telco Deployment Use case • Distributed deployment – requirements • Multi-Site Architecture • Challenges • Solution and Further Study • Conclusions 3 OPENSTACK ARCHITECTURE WHY MULTI-SITE FOR TELCO? • Compute requirements – Not just at Data Center • Mul+ple Data Centers • Managed Service Offering • Managed Branch Office • Thick vCPE • Mobile Edge Compute • vRAN – vBBU locaons • Virtualized Central Offices • Hundreds to thousands of locaons • Primary and Backup Data Center – Disaster recovery • IoT Gateways – Fog compung 6 Centrally managed Compute closer to the user Multiple DC or Central Offices Independent OpenStack Deployments Remote Sites E2E Orchestrator • Hierarchical Connec+vity model of CO • Remote sites with compute Security & Firewall requirements Quality of Service (QoS) • Extend OpenStack to these sites Traffic Shaping Overlay Device Management Tunnel over Internet Main Data Center Backup Data Center A typical service almost always spans across mulple DCs Remote Data 7 Centers Multiple DCs – NFV Deployment Real Customer Requirements Region 2 L2 or L3 . Extensions between DCs . Fully Redundant System . Region 1 . • 25 Sites 25 • 2-5 VNFs required at each site • Maximum of 2 Compute Nodes per site needed for these VNFs • Controllers Storage Requirements = Image storage only Redundant Storage Nodes • Total number of control Nodes = 25 *3 =75 Compute Nodes Configuraon Overhead • Total Number of Storage Nodes = 25 * 3 = 75 75% 8 • Total Number of Compute Nodes = 25 * 2 = 50 Virtual Central Office Real Customer Challenge Region Region 1 2 L2 or L3 . Extensions . between DCs . Fully Redundant System . 1000+ • 1000+ Sites – Central Offices • From few 10s to 100s of VMs • Fully Redundant configuraons • Terminaon of Residen+al, Business and Mobile Services Controllers • Managing 1000 openstack islands Storage Nodes • Tier 1 Telcos already have >100 sites today Compute Nodes 9 Management Challenge DEPLOYMENT OPTIONS 10 OPTIONS • Mul+ple Independent Island Model – seen this already • Common Authen+caon and Management – External user policy management with LDAP integraon – Common Keystone • Stretched deployment model – Extend compute and Storage Nodes into other Data Centers – Keep central control of all remote resources • Allow Data Centers to share workloads – Tri-circle approach • Proxy the APIs – Master Slave model or cascading model • Agent based model • Something else?? 11 Multiple DC or Central Offices Independent OpenStack Deployments Feed the load balancer • Site capacity independent of the other Cloud Management Plaorm • User informaon separate or replicated offline • Load balancer directs traffic where to L go to – Good for loadsharing • DR – external problem Directory B L2 or L3 Extensions between DCs Fully Redundant Fully Redundant System System Controllers Storage Nodes Region 1 Compute Nodes Region 2…N 12 Good for few 10s of sites – What about 100s or Thousands of sites Extended OpenStack Model Shared Keystone Deployment Common or Shared Keystone Cloud Management Plaorm • Single Keystone for authen+caon • User informaon in one locaon • Independent Resources • Modify the keystone endpoint table Keystone • Endpoint, Service, Region, IP Directory L2 or L3 Extensions between DCs Fully Redundant Fully Redundant System System Controllers Storage Nodes Region 1 Compute Nodes … 13 Iden+ty: Keystone – Single point of control Region 2 N Extended OpenStack Model Central Controller and Remote Compute & Storage (HCI) Nodes Central Controller Cloud Management Plaorm • Single authen+caon • Distributed Compute Resources • Single Availability Zone per Region L2 or L3 Region 1 Extensions Region 2…N between DCs Fully Redundant System Replicated Storage – Controllers Galera Cluster Storage Nodes Cinder, Glance and Image Compute Nodes Directory 14 Manual Restore Revisiting the Branch Office - Thick CPE Can we deploy compute nodes at all the branch sites and centrally control them? E2E Network Orchestrator Data Center Enterprise Security & Firewall vCPE Quality of Service (QoS) Traffic Shaping Device Management IPSec, MPLS Internet or Other Tunnel mechanism Enterprise vCPE x86 Server with VNFs Deploy Nova Compute NFVI 15 OpenStack, OpenShift/ How do I scale it to thousands of sites? Kubernetes OSP 10 – Scale components independently Most OpenStack HA services and VIPs must be launched/managed by Pacemaker or HAProxy. However, some can be managed via systemctl thanks to the simplification of pacemaker constraints introduced in version 9 and 10. COMPOSABLE SERVICES AND CUSTOM ROLES Hardcoded Custom Custom Custom Controller Role Controller Role Ceilometer Role Networker Role Keystone Keystone Ceilometer Ceilometer Neutron Neutron RabbitMQ RabbitMQ Glance Glance ... ... • Leverage composable services model – to define a Central Keystone – Place functionality where it is needed – i.e. dis-aggregate • Deployable standalone on separate nodes or combined with other services into Custom Role(s). 17 – Distribute the functionality depending on the DC locations Re-visiting the Virtual Central Office use case Real Customer Challenge Region 1 L2 or L3 Extensions Region 2 between DCs Fully Redundant System Region 4 Region 3 Controllers Storage Nodes Compute Nodes Region 3a Region 3b 18 Require Flexibility and some Hierarchy CONSIDERATIONS Scaling across a thousand sites? • Some areas that we need to look at • Latency and Outage times • Delays due to distance between DCs and link speeds - RTT • The remote site is lost – headless operations and subsequent recovery • Startup Storms • Scaling Oslo messaging • RabbitMQ • Scaling of Nodes => Scale RabbitMQ/Messaging • Ceilometer (Gnocchi & Aodh)– heavy user of MQ 19 LATENCY AND OUTAGE TIMES Scaling across a thousand sites? • Latency between sites – Nova API Calls • 10, 50, 100 ms? Round trip +me = Queue tuning • Boleneck link/node speed • Outage +me – recovery me • 30s or more? • Nova Compute services flapping • Confirmaon – from provisioning to operaon • Neutron +me outs – binding issues • Headless operaon • Restart –causes storms 20 RABBITMQ TUNING • Tune the buffers – increase buffer size • Take into account messages in flight – rates and round trip +mes • BDP = Bojleneck speed * RTT • Number of messages • Servers * backends * requests/sec = Number of messages/sec Neutron • Split into mul+ple instances of message queues for distributed deployment • Ceilometer into a MQ – Heaviest user of MQ MQ • Nova into a single MQ • Neutron into a MQ Nova Conductor MQ • Refer to an interes+ng presentaon on this topic – “Tuning RabbitMQ Compute MQ at Large Scale Cloud” – Openstack Summit – Ausn 2016 Ceilometer Ceilometer Agents collector 21 RECENT AMQP ENHANCEMENTS • Eliminates the broker based model Broker • Enhances AMQP 1.0 Broker Broker • Separate messaging end point from message routers Hierarchical - Tree • Newton has AMQP driver for oslo messaging • Ocata provides perf tuning, upstream support for Triple-O • If you must use RabbitMQ • Use clustering and exchange configurations Broker Broker • Use shovel plugin with exchange configurations and multiple instances Mesh - Routed 22 OPENSTACK CASCADING PROJECT Parent Child Child Child Parent Proxy for Nova, Cinder, Celometer & Neutron subsystems per site AZ1 AZn At Parent – loads of proxys one set per Child Child User communicates to the master 23 TRICIRCLE AND TRIO2O Cascading solution split into two projects User1 • Tricircle – Networking across openstack clouds UserN • Trio2o – Single API Gateway for Nova, Cinder TRI-CIRCLE Trio2o Make Neutron(s) work as a single cluster API Gateway AZ1 AZx AZn pod Expand workloads into other OS instances Single Region with mul+ple sub regions Create Networking extensions Shared or Federated Keystone Isolaon of East-west traffic Shared or Distributed Glance Applicaon HA UID = TenantID+PODID 24 OPNFV Mul+-Site Project – Eupherates release WHAT’S THE ALTERNATIVE? Remote Compute Nodes • Should we abandon the idea of Remote Nova Nodes? • Use Packstack/AllinOne – OSP in a box – ala Vz uCPE • High overhead if you want to run 1-2 VNFs • Perhaps some optimization possible using Kolla/Container model • Initialize the remote nodes – Need L3/L2 connectivity for PXE • Make that a Kubernetes Node – Use containers on that node • Implement a new interface for remote nodes • Nova Agent on remote nodes ? • Abandon the idea of OpenStack – No!!!! No OpenStack really!!! ? • Use a CMP – to manage remote bare metal nodes • KVM – Hypervisor • Run Containers on remote nodes – Do we run into same issues? 25 VIRTUAL CONTROLLER MODEL Virtual controllers – to get around node restrictions Kolla –Containerizing the control plane • Kolla –Kubernetes and Kolla Ansible • Containerizing OSP control makes the previous options easier • Can remote nodes be considered as PODS in Kubernetes environments • Interface between Master and Host node • The containers can be deployed on those nodes to manage apps or even OSP services Neutron VM1 VM2 Keystone Glance Nova 26 SUMMARY • Deploying OpenStack at multiple sites is a must for Telcos
Load more

Recommended publications
  • Data Centers and Cloud Computing Data Centers
    Data Centers and Cloud Computing Data Centers • Large server and storage farms – 1000s of servers • Intro. to Data centers – Many TBs or PBs of data • Virtualization Basics • Used by – Enterprises for server applications – Internet companies • Intro. to Cloud Computing • Some of the biggest DCs are owned by Google, Facebook, etc • Used for – Data processing – Web sites – Business apps Computer Science Lecture 22, page 2 Computer Science Lecture 22, page 3 Inside a Data Center MGHPCC Data Center • Giant warehouse filled with: • Racks of servers • Storage arrays • Cooling infrastructure • Power converters • Backup generators • Data center in Holyoke Computer Science Lecture 22, page 4 Computer Science Lecture 22, page 5 Modular Data Center Virtualization • ...or use shipping containers • Each container filled with thousands of servers • Can easily add new containers • Virtualization: extend or replace an existing interface to – “Plug and play” mimic the behavior of another system. – Just add electricity – Introduced in 1970s: run legacy software on newer mainframe hardware • Allows data center to be easily • Handle platform diversity by running apps in VMs expanded – Portability and flexibility • Pre-assembled, cheaper Computer Science Lecture 22, page 6 Computer Science Lecture 22, page 7 Types of Interfaces Types of OS-level Virtualization • Different types of interfaces – Assembly instructions – System calls • Type 1: hypervisor runs on “bare metal” – APIs • Type 2: hypervisor runs on a host OS • Depending on what is replaced /mimiced,
    [Show full text]
  • Deploy, Operate, and Evolve Your Data Center: HP Datacenter Care
    Brochure Deploy, operate, and evolve your data center HP Datacenter Care The data center is evolving—shouldn’t Improve agility, scalability—react at the your support keep pace? speed of business Historically, business-critical IT has been delivered on dedicated, HP Datacenter Care service is designed to support this homogenous, and proprietary infrastructures. In this siloed results-oriented approach by providing an environment-wide IT model, performance, uptime, and security outweighed support solution tailored to your needs. HP Datacenter Care considerations of speed, agility, and cost. Now, however, the trends is a flexible, comprehensive, relationship-based approach to of mobility, big data, and cloud computing are fundamentally personalized support and management of heterogeneous data changing how you deliver information, and how technology is centers. Datacenter Care is a structured framework of repeatable, implemented, moving closer to unconstrained access to IT. tested, and globally available services “building blocks.” You have an account support manager (ASM) who knows your business and your IT is delivered as services anywhere, across hybrid deployments of IT environment, and who can help you select the services you need private, managed, and public cloud, as well as traditional IT. It’s what from an extensive portfolio of support and consulting services. The HP is developing as the Converged Cloud, and it can finally allow ASM leverages our experience in supporting complex environments, enterprises to achieve business agility, with choice and improved global support partnerships, and technical expertise. ROI. Today, HP is a leader in the industry for support services, for customers worldwide who need to keep their systems running, So you get exactly the services you need—when and where you reduce costs, and avoid issues.
    [Show full text]
  • The Cloud-Enabled Data Center
    A Revolutionary Technology Extending the Ultra-Broad Functionality of Ethernet White Paper May 2013 The Cloud-Enabled Data Center The Cloud-Enabled Data Center Introduction A growing number of organizations are adopting some form of cloud computing to meet the challenges of rapidly deploying their IT services and addressing their dynamic workload environments while maximizing their IT return on investments (ROIs). Cloud computing gives users the ability to access the IT resources faster than traditional and virtual servers. It also provides improved manageability and requires less maintenance. By deploying technology as a service, your users access only the resources they need for a specific task, which prevents you from incurring costs for computing resources not in use. In addition, developing a cloud-enabled data center can improve operational efficiencies while reducing operational expenses by 50%. Panduit, the leader in Unified Physical Infrastructure offerings, and IBM, a pioneer in delivering cloud computing solutions to clients, have joined forces to deliver optimized, custom and preconfigured solutions for the cloud- enabled data center. This white paper describes how network, storage, compute and operations are important factors to consider when deploying private and public cloud computing in the data center. Specifically, it examines integrated stack/pre- configured and custom cloud deployments. It also explains the importance of the physical infrastructure as the foundation in successful cloud deployment and maintenance. Finally, it showcases how IBM’s depth of experience in delivering systems and software for cloud solutions when combined with Panduit’s physical infrastructure expertise, provides a tremendous impact on room-level data center environmental and new-age topology.
    [Show full text]
  • Comparison of Availability Between Local and Cloud Storage Leviathan Security Group
    Comparison of Availability Between Local and Cloud Storage Leviathan Security Group limitless innovation. no compromise. Introduction The U.S. National Institute for Standards and Technology denes cloud computing as having ve essential characteristics: on-demand self- service for provisioning, network access, the use of virtual machines to provide servers, rapid elastic provisioning and release of servers, and metering capability on the service provided.1 This paper seeks to answer whether, from the perspective of availability of data, especially in the face of natural or manmade threats to data and access, cloud computing is able to provide a greater benet than local data storage. For the purposes of this discussion, local data storage will include arrangements where data is kept on business premises or in a nearby datacenter, such as a colocation facility or other rigidly-provisioned resource. We will rst examine the signicant dierentiator that cloud computing provides in this space, and then examine dierent scales of threats to availability to see whether local data storage or cloud data storage fares better against known historical threats. 2 The Cloud Dierentiator: Geographic Redundancy At its heart, cloud computing and cloud storage are exactly the same as computing and storage provided through a datacenter or SOHO server; the cloud is made of computers. The dierence between cloud- based storage and local storage is that using cloud-based storage allows replication between separate geographic regions. Indeed, the key feature of
    [Show full text]
  • Ovirt Storage Overview
    Ovirt Storage Overview Jun 8 th, 2012 Barak Azulay Storage overview – oVirt workshop 2011 1 Agenda ● Defining the problem ● Roadmap ● Storage Domain ● How to contribute ● Storage Pool ● Q&A ● Example ● Domain Classes ● Domain Types ● File Domains ● Block Domains ● SPM ● Thin Provisioning Storage overview – oVirt workshop 2011 2 Defining the problem ● The requirements ● Manage tens of thousands of virtual disk images ● Each image potentially accessible from hundreds (thousands?) of nodes ● Support both file based storage as well as raw block devices ● The assumptions ● Exclusive access when used ● Big (X GBs) ● Centralized manager (can be HA in and by itself) Storage overview – oVirt workshop 2011 3 Defining the problem - guidelines ● High level, image centered API ● Cluster safe ● High performance (not in data path) ● Highly available ● no single point of failure ● Continues working in the absence of the manager ● Backing storage agnostic Storage overview – oVirt workshop 2011 4 Storage Domain ● A standalone storage entity ● Stores the images and associated metadata (but not VMs) Only true persistent storage for VDSM Domain Storage overview – oVirt workshop 2011 5 Domain Classes ● Data ● Master ● ISO (NFS only) ● Backup (NFS only) ● Domain classes are planned for deprecation Storage overview – oVirt workshop 2011 6 Domain Types ● File Domains (NFS, local dir) ● Use file system features for segmentation ● Block Domains (iSCSI, FCP, FCoE, SAS, ...) ● Use LVM for segmentation ● Very specialized use of LVM Storage overview – oVirt workshop
    [Show full text]
  • The Cloud V. Data Center Decision
    SPECIAL REPORT The cloud v. data center decision COPYRIGHT ©2017 CBS INTERACTIVE INC. ALL RIGHTS RESERVED. THE CLOUD V. DATA CENTER DECISION TABLE OF CONTENTS 03 Cloud v. data center: Key trends for IT decision-makers 11 Infographic: Cloud use is growing, but the data center isn’t dead yet 12 Understanding the pros and cons of five cloud types 16 Five major pitfalls to avoid in a cloud migration 19 Multi-cloud is a messy reality, but there’s hope 23 Six reasons why companies hang on to their data centers 27 Has IT’s default setting switched from data center to cloud? 30 How hybrid cloud is strengthening Fitness First 2 COPYRIGHT ©2017 CBS INTERACTIVE INC. ALL RIGHTS RESERVED. THE CLOUD V. DATA CENTER DECISION CLOUD V. DATA CENTER: KEY TRENDS FOR IT DECISION-MAKERS BY CHARLES MCLELLAN Cloud-based compute, networking and storage infrastructure, and cloud-native applications, are now firmly on the radar of IT managers—be they in startups, small businesses or large enterprises. So much so that, whereas a few years ago the question facing CIOs was “Which workloads should I move to the cloud?”, it’s now becoming “Which, if any, workloads should I keep on-premises?”. While most organisations will probably end up pursuing a hybrid cloud strategy, it’s worth examining this turnaround, and the reasons behind it. The general background, as ZDNet has explored in recent special features, is the competitive pressure for organisations to undergo a digital transformation based on cloud-native applications and methods such as DevOps, in pursuit of improved IT and organisational performance.
    [Show full text]
  • Amazon Web Services (AWS) Is Committed
    The Cloud Amazon Web Services (AWS) is committed to running our business in the most environmentally friendly way possible and achieving 100% renewable energy usage for our global infrastructure. AMAZON SUSTAINABILITY ENVIRONMENT 44 Learn how AWS is working to achieve Amazon’s goal of 100% renewable energy. JAN 2016 JAN Amazon launches Wind Farm JUL 2015 AWS announces Fowler Ridge, marking the first that it has contract- of our four announced renew- APR 2015 Amazon announces joining ed with Iberdrola able energy projects to move the American Council on Renewables, LLC into full operation. Renewable Energy (ACORE) to construct and op- and will participate in erate Amazon Wind JUN 2016 AWS and Dominion the U.S. Partnership for Farm U.S. East. Virginia Power join forces Renewable Energy Finance on a landmark renewable (U.S. PREF) to increase our energy delivery deal. work with state and federal NOV 2015 NOV With this, Dominion Vir- policymakers and other AWS announces that it ginia Power will manage stakeholders to enable more has contracted with EDP and integrate the energy renewable energy opportu- Renewables to construct produced from various nities for cloud providers. and operate Amazon Wind Amazon wind and solar OCT 2016 Farm U.S. Central. Amazon Solar Farm U.S. farm projects onto the East is now in production grid that serves AWS in Accomack County, data centers. Virginia. 2014SEP 2015 2015 2016 Amazon joins The Buyers’ Princi- NOV 2016 NOV ples to collaborate with more than AWS announces five new solar farms across the Common- NOV 2014 NOV AWS shares 40 other companies on making wealth of Virginia.
    [Show full text]
  • All About Cloud
    Everything as a service HP’s point of view on cloud computing and cloud services Rebecca Lawson April 2010 1 Everything as a Service A world of information, opportunities and experiences—from computing power to business processes to personal interactions, are delivered wherever, however and whenever you need it. 2 It’s All About the Service Service providers Service consumers Field engineer Business Finance services executive Campaign director Application Sales person services Logistics manager Data Call center services representative App developer Infrastructure QA engineer services Service manager 3 Driving Outcomes That Matter Technology- Business enabled Business Outcomes Strategy services Improve value Become more agile Enable innovation 4 Source and Govern Services That Result in Outcomes That Matter Cloud service IT organization Outcomes that providers Strategic service broker matter Hosted/managed Accelerate growth service providers Services Service Services Lower costs Network service sourced portfolio delivered providers Mitigate risk Internal service providers 5 Perspective on the IT Service Supply Chain Cloud service provider IT organization Global-class Service portfolio software Business users Massive scale-out infrastructure S S S S S Business S outcome Enterprise-class Hosted, managed, software outsourced service provider S Dedicated / shared Enterprise-class infrastructure software Dedicated / shared infrastructure 6 The Real Question: Which Services, From Which Source? Corporate website service Sales forecasting service E-mail service Linux Dev lab service Supply Chain service 7 Cloud Services Deliver New Kinds of Value Service providers Service consumers Cloud services are highly scalable and elastic technology-enabled services, delivered and consumed over the internet through an as-needed, pay-per-use business model.
    [Show full text]
  • Pi DATACENTERS
    Case Study Data Center Modernization Pi DATACENTERS As an enterprise-class cloud service provider, Pi DATACENTERS wanted to offer its clients a transparent, cost-effective and technically superior experience. By selecting SUSE® OpenStack Cloud, the company gained a cost-effective and open solution, backed by enterprise support from SUSE. With its “@PiCloud™” platform powered by SUSE OpenStack Cloud in place, Pi DATACENTERS provides robust, yet optimized, IaaS, PaaS, DRaaS and a host of other cloud-enabled services, allowing its enterprise customers to concentrate on their businesses, not IT. Mr. Sunder Muthevi Overview Challenge Founded in 2014, Pi DATACENTERS is an As a new business entering the enterprise- enterprise-class cloud service provider, class cloud service provider sector, Pi based out of Amaravati, the capital of the DATACENTERS wanted to provide clients newly reorganized state of Andhra Pra- with a completely different experience desh, India. As a state-of-the-art, green- from existing operators. Many competing field data center, the company offers a full public clouds lacked a data center in India, spectrum of solutions across Infrastructure and could therefore not provide transpar- Pi DATACENTERS at a Glance as a Service (IaaS), Platform as a Service ency about where data was physically Pi DATACENTERS is an enterprise-class cloud (PaaS), and Disaster Recovery as a Service located. Pi DATACENTERS knew that it service provider with clients in the government, (DRaaS), along with a host of other cloud- could provide a more personalized, local, retail and IT sectors amongst others. enabled services riding on its “@PiCloud™” and economical service, but needed to platform.
    [Show full text]
  • F5 Application Delivery Services in the Google Cloud
    OVERVIEW F5 APPLICATION DELIVERY SERVICES IN THE GOOGLE CLOUD Public cloud vendors offer enterprises increased scalability and flexibility, along with a reduction in infrastructure and operational costs. As a result, 89 percent of companies are housing part of their application portfolio in the public cloud.1 Whether located in the public cloud, private cloud, or an on-premises data center, applications require specific services to ensure their security, availability, and performance. F5® BIG-IP® virtual editions (VEs) provide all of these benefits. Now fully integrated into the Google Cloud Engine, BIG-IP VEs extend F5’s application delivery capabilities beyond that of the traditional data center perimeter. KEY BENEFITS CHALLENGE • Cut costs by scaling in the cloud, Infinite scalability, unmatched flexibility, and reduced overheads make computing in the public cloud not on premises seem like the perfect IT solution. However, many enterprises making the shift to the cloud do so • Protect customer data anywhere amidst concerns that their applications’ security and performance may be diminished, or that they’ll within a hybrid cloud architecture fall victim to vendor lock-in and incur large re-architecting costs. This is a common fear, with a recent • Easily move workloads between study finding that 78 percent of IT decision makers worry about the portability of their workloads in Google Cloud and data centers the cloud.2 Increased network segregation and inconsistent application services across hybrid cloud • Maintain high availability of web architectures are also placing additional strain on IT departments while generating new security applications vulnerabilities for attackers to take advantage of. But it doesn’t need to be this way.
    [Show full text]
  • Emerging Indonesian Data Center Market and Energy Efficiency Opportunities
    THE EMERGING INDONESIAN DATA CENTER MARKET AND ENERGY EFFICIENCY OPPORTUNITIES ASIAN DEVELOPMENT BANK THE EMERGING INDONESIAN DATA CENTER MARKET AND ENERGY EFFICIENCY OPPORTUNITIES April 2017 ASIAN DEVELOPMENT BANK Creative Commons Attribution 3.0 IGO license (CC BY 3.0 IGO) © 2017 Asian Development Bank 6 ADB Avenue, Mandaluyong City, 1550 Metro Manila, Philippines Tel +63 2 632 4444; Fax +63 2 636 2444 www.adb.org Some rights reserved. Published in 2017. ISBN 978-92-9257-799-5 (Print), 978-92-9257-800-8 (e-ISBN) Publication Stock No. TCS178743 DOI: http://dx.doi.org/10.22617/TCS178743 The views expressed in this publication are those of the authors and do not necessarily reflect the views and policies of the Asian Development Bank (ADB) or its Board of Governors or the governments they represent. ADB does not guarantee the accuracy of the data included in this publication and accepts no responsibility for any consequence of their use. The mention of specific companies or products of manufacturers does not imply that they are endorsed or recommended by ADB in preference to others of a similar nature that are not mentioned. By making any designation of or reference to a particular territory or geographic area, or by using the term “country” in this document, ADB does not intend to make any judgments as to the legal or other status of any territory or area. This work is available under the Creative Commons Attribution 3.0 IGO license (CC BY 3.0 IGO) https://creativecommons.org/licenses/by/3.0/igo/. By using the content of this publication, you agree to be bound by the terms of this license.
    [Show full text]
  • IBM Smartcloud: Building a Cloud Enabled Data Center
    Front cover IBM SmartCloud: Building a Cloud Enabled Data Center Redguides for Business Leaders Pietro Iannucci Manav Gupta Learn how to choose the infrastructure as a service (IaaS) solution that best matches your business needs See how to create an open and extensible IaaS solution Explore the details of the Cloud Enabled Data Center adoption pattern Executive overview Organizations are looking for ways to get more out of their already strained IT infrastructure as they face new technological and economic pressures. They are also trying to satisfy a broad set of users (internal and external to the enterprise) who demand improvements in their quality of service (QoS), regardless of increases in the number of users and applications. Cloud computing offers attractive opportunities to reduce costs, accelerate development, and increase the flexibility of the IT infrastructure, applications, and services. Infrastructure as a service (IaaS) is the typical starting point for most organizations when moving to a cloud computing environment. IaaS can be used for the delivery of resources such as compute, storage, and network services through a self-service portal. With IaaS, IT services are delivered as a subscription service, eliminating up-front costs and driving down ongoing support costs. IBM® has defined the Cloud Computing Reference Architecture (CCRA) based on years of experience of working with customers who have implemented cloud-computing solutions. The IBM CCRA is a blueprint or guide for architecting cloud-computing implementations. It is driven by functional and nonfunctional requirements that are collected from many cloud-computing implementations. IBM CCRA provides guidelines and technical work products, such as service and deployment models, and has defined the overarching implementations as adoption patterns.
    [Show full text]