Cisco Global Cloud Index: Forecast and Methodology, 2010–2015
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Transcript of Cisco Global Cloud Index 2015 2020 · Cisco Global Cloud Index 2015–2020. Cisco Knowledge Network...
November 2016
Cisco Global Cloud Index2015–2020Cisco Knowledge Network (CKN) Session
Thomas Barnett, Jr. – Director, SP Industry Forecasts and Trends
Shruti Jain – Senior AnalystArielle Sumits – Senior Analyst
Usha Andra – Senior AnalystTaru Khurana – Senior Analyst
Cisco VNI and Global Cloud IndexVisual Networking Index (VNI)
+ = 2.3 ZBs
Non-Data Center TrafficNOT included in GCI
Data Center-to-User TrafficThis is the overlap between VNI and GCI
Data Center-to-User Traffic (14%)This is the overlap between VNI and GCI
Data Center-to-Data Center Traffic (9%)
+ = 15.3 ZBs+
Within Data Center (77%)
Traffic that flows from data center to data center
Traffic that remains within the data center
Global Cloud Index (GCI)
A0.1 ZBs
B2.2 ZBs
C1.4 ZBs
D11.7 ZBs
A B
A
B
B C D
B
C
D
GCI Forecast Update, 2015–2020 Top 7 Data Center / Cloud Trends
Growth of Global Data Center Relevance and Traffic1
2 Continued Global Data Center / Cloud Virtualization
3 Cloud Service Delivery Models (IaaS, PaaS, SaaS)
4
Global Data Center and Cloud Storage **New 5
Global Digitization—Impact of IoE6
Global Cloud Readiness7
Workloads and Traffic by Application**New
Data Center Growth
259297
346399
447485
0%5%10%15%20%25%30%35%40%45%50%
0
100
200
300
400
500
600
2015 2016 2017 2018 2019 2020
13% CAGR 2015–2020
Hyperscale Data
Centers
% Share of Data Center Servers (Installed
Base)
Source: Cisco Global Cloud Index, 2015–2020, Synergy Research Group
Back to Index
Hyperscale in 2020
Today:
21%
39%
49%
34%
of all data center servers
By 2020, Hyperscale Data Centers Will House:
47%
of all data center processing power68%
of all data stored in data centers57%
of all data center traffic53%
Back to Index
Regional Growth of Data Centers
0
200
400
600
2015 2016 2017 2018 2019 2020
Middle East and Africa (0%,0.8%)Central and Eastern Europe (0.4%,1.4%)Latin America (3.9%,4.5%)Western Europe (16%,17%)Asia Pacific (29%,33%)North America (51%,43%)
13% CAGR 2015–2020
Note: Percentages within parentheses refer to relative share for 2015 and 2020. Source: Cisco Global Cloud Index, 2015–2020, Synergy Research Group
Hyperscale Data
Centers
Back to Index
Hyperscale Cloud Data CentersLocation by Country—Q2, 2016
Source: Cisco Global Cloud Index, 2015–2020, Synergy Research Group
Other, 7%Hong Kong, 2%
Netherlands, 2%Brazil, 3%
Ireland, 3%UK, 3%
India, 3%Canada, 4%
Germany, 4%
Singapore, 4%
Australia, 5%Japan, 7%
China, 7%
US, 47%
Back to Index
4.76.5
8.610.8
12.915.3
02468
1012141618
2015 2016 2017 2018 2019 2020
Global Data Center Traffic GrowthData Center Traffic More Than Triples from 2015 to 2020
Zettabytes per Year
27% CAGR 2015–2020
Source: Cisco Global Cloud Index, 2015–2020
Back to Index
2.23.0
4.15.1
6.07.1
0.0
1.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
2015 2016 2017 2018 2019 2020
NA Data Center Traffic GrowthData Center Traffic More Than Triples from 2015 to 2020
Zettabytes per Year
27% CAGR 2015–2020
Source: Cisco Global Cloud Index, 2015–2020
Back to Index
Global Data Center Traffic by RegionNorth America to Have Highest Traffic Volume by 2020MEA to Experience Highest Traffic Growth
North America2015: 2.2 Zettabytes2020: 7.1 Zettabytes
CAGR 27%
Latin America2015: 195 Exabytes2020: 533 Exabytes
CAGR 22%
Western Europe2015: 843 Exabytes2020: 2.7 Zettabytes
CAGR 26%
Middle East & Africa2015: 105 Exabytes2020: 451 Exabytes
CAGR 34%
Central & Eastern Europe2015: 191 Exabytes2020: 632 Exabytes
CAGR 27%
Asia Pacific2015: 1.2 Zettabytes2020: 4.0 Zettabytes
CAGR 27%
Source: Cisco Global Cloud Index, 2015–2020
Back to Index
Global Data Center Traffic by Destination, 2020Most Data Center Events/Content Stays Within the Data Center
A
B
C
Data Center to User
14% Within Data Center
77%Data Center
to Data Center
9%
Storage, production and development data, authentication
Within Data Center (77%)
Data Center to Data Center (9%)
Data Center to User (14%)
Replication, CDN, intercloud links
Web, email, internal VoD, WebEx…
Total East-West Traffic Is 86%(Rack-local traffic would add another slice
twice the size of “Within Data Center”)Back to Index
NA Data Center Traffic by Destination, 2020Most Data Center Events/Content Stays Within the Data Center
A
B
C
Data Center to User
9% Within Data Center
81%Data Center
to Data Center
10%
Storage, production and development data, authentication
Within Data Center (81%)
Data Center to Data Center (10%)
Data Center to User (9%)
Replication, CDN, intercloud links
Web, email, internal VoD, WebEx…
Total East-West Traffic Is 91%(Rack-local traffic would add another slice
twice the size of “Within Data Center”)Back to Index
SDN/NFV Traffic GrowthSDN/NFV To Carry 44% of “Within Data Center Traffic” by 2020
0.81.4
2.2
3.1
4.1
5.2
23%28%
33%37%
41%44%
0%5%10%15%20%25%30%35%40%45%50%
0.0
1.0
2.0
3.0
4.0
5.0
6.0
2015 2016 2017 2018 2019 2020
44% CAGR 2015–2020
Source: Cisco Global Cloud Index, 2015–2020
Zettabytes per Year
% Share of Within
Data Center Traffic
Back to Index
Potential Impact of SDN on Traffic
Big Data. Traffic engineering supports “elephant” data flows without compromising “mouse” data flows.
Video Bitrates. SDN will allow video bitrates to increase, because SDN can seek out highest bandwidth mid-stream.
Cloud Gaming. SDN can decrease latency, allowing cloud gaming applications to decrease delay by up 10%.
Back to Index
0
100
200
300
400
500
600
2015 2016 2017 2018 2019 2020
Traditional Data Center (-3% CAGR)Cloud Data Center (26% CAGR)
Global Cloud Workloads Surpass Traditional Workloads92% of All Workloads Will Be in Cloud by 2020
Installed Workloads in Millions
21% CAGR 2015–2020
92%
8%
75%
25%
Source: Cisco Global Cloud Index, 2015–2020
Back to Index
Source: Cisco Global Cloud Index, 2015–2020
North America2015: 57.2 Million
2020: 172.1 MillionCAGR 24.6%
Latin America2015: 5.2 Million2020: 16.2 Million
CAGR 25.5%
Western Europe2015: 27.7 Million2020: 76.3 Million
CAGR 22.5%
Middle East & Africa2015: 3.6 Million2020: 11.8 Million
CAGR 26.6%
Central & Eastern Europe2015: 4.0 Million2020: 12.2 Million
CAGR 25.1%
Asia Pacific2015: 38.3 Million
2020: 151.5 MillionCAGR 31.6%
Global Cloud Workload DistributionAsia Pacific Workloads Grow 4-Fold from 2015 to 2020North America Will Maintain Largest Share of Cloud Workloads by 2020
Back to Index
0
10
20
30
40
50
60
2015 2016 2017 2018 2019 2020
Traditional Data Center (-11% CAGR)Cloud Data Center (15% CAGR)
Global Cloud Physical Servers Surpass Traditional Physical Servers77% of All Installed Servers Will Be in Cloud by 2020
Installed Physical
Servers in Millions
4% CAGR 2015–2020
77%
23%
48%
52%
Source: Cisco Global Cloud Index, 2015–2020
Back to Index
Average Workload Density
Global Workload DensityCloud Will Outpace Traditional Data Center by More Than 3-Fold
2.2 3.5
7.3
11.9
0
2
4
6
8
10
12
14
2015 2016 2017 2018 2019 2020
Traditional Data CenterCloud Data Center
3.4X
3.3X
Workloads per Server
Workloads per Server
Source: Cisco Global Cloud Index, 2015–2020
Back to Index
3.95.6
7.7
9.8
11.9
14.1
0
2
4
6
8
10
12
14
16
2015 2016 2017 2018 2019 2020
Global Cloud Traffic GrowthCloud Traffic Will Grow 3.7-Fold from 2015 to 2020Cloud Accounts for 92% of Traffic by 2020 Up from 82% in 2015
Zettabytes per Year
30% CAGR 2015–2020
Source: Cisco Global Cloud Index, 2015–2020
Back to Index
1.92.8
3.8
4.95.8
6.8
0
1
2
3
4
5
6
7
8
2015 2016 2017 2018 2019 2020
NA Cloud Traffic GrowthCloud Traffic Will Grow 3.6-Fold from 2015 to 2020Cloud Accounts for 96% of Traffic by 2020 Up from 88% in 2105
Zettabytes per Year
29% CAGR 2015–2020
Source: Cisco Global Cloud Index, 2015–2020
Back to Index
Source: Cisco Global Cloud Index, 2015–2020
Global Cloud Traffic by RegionNorth America to Have Highest Traffic Volume by 2020MEA to Experience Highest Traffic Growth
North America2015: 1.9 Zettabytes2020: 6.8 Zettabytes
CAGR 29%
Latin America2015: 140 Exabytes2020: 448 Exabytes
CAGR 26%
Western Europe2015: 718 Exabytes2020: 2.5 Zettabytes
CAGR 29%
Middle East & Africa2015: 69 Exabytes2020: 304 Exabytes
CAGR 34%
Central & Eastern Europe2015: 124 Exabytes2020: 485 Exabytes
CAGR 31%
Asia Pacific2015: 908 Exabytes2020: 3.5 Zettabytes
CAGR 31%
Back to Index
Private vs. Public CloudHybrid Cloud is a Combination of Private and Public Clouds
Enterprise Network Service Provider Network
Private Cloud
Public Cloud
Hybrid Cloud
Cisco Cloud owned and managed by Cisco for its own employees, customers and partners.
AT&T, Verizon, Amazon AWS, Microsoft Azure, Salesforce, Google.
Back to Index
050
100150200250300350400450500
2015 2016* 2017 2018 2019 2020
Public Cloud Data Center (35% CAGR)Private Cloud Data Center (15% CAGR)
Global Private Cloud vs. Public CloudBy 2016 Public Cloud will Surpass Private Cloud
26% CAGR 2015–2020
49%
51%
68%
32%
56%
44%
Source: Cisco Global Cloud Index, 2015–2020
Installed Workloads in Millions
Back to Index
020406080
100120140160180200
2015 2016 2017* 2018 2019 2020
Public Cloud Data Center (34% CAGR)Private Cloud Data Center (15% CAGR)
NA Private Cloud vs. Public CloudBy 2017 Public Cloud will Surpass Private Cloud
25% CAGR 2015–2020
43%
57%
61%
39%
Source: Cisco Global Cloud Index, 2015–2020
Installed Workloads in Millions
Back to Index
55%
45%
Cloud Service ModelsSoftware as a Service
(SaaS)Platform as a Service
(PaaS)Infrastructure as a
Service (IaaS)
• Cisco WebEx• Google Apps• Salesforce
Generic:• Web• Email• Web Conferencing• Video streaming• More
• Google App Engine• Windows Azure• AWS Elastic Beanstalk
Generic:• DevOps• App deployment• Testing
• Amazon AWS• Rackspace• Google Compute Engine
Generic:• Compute as a service• Virtual desktop
infrastructure
Back to Index
050
100150200250300350400450500
2015 2016 2017 2018 2019 2020
SaaS (30% CAGR)IaaS (17% CAGR)PaaS (24% CAGR)
Global Cloud Workloads SaaS Most Popular Cloud Service Model Through 2020
26% CAGR 2015–2020
9%
65%26%
8%
74%
18%
Source: Cisco Global Cloud Index, 2015–2020
Installed Workloads in Millions
Back to Index
020406080
100120140160180200
2015 2016 2017 2018 2019 2020
SaaS (29% CAGR)IaaS (13% CAGR)PaaS (20% CAGR)
NA Cloud Workloads SaaS Most Popular Cloud Service Model Through 2020
25% CAGR 2015–2020
10%
64%26%
8%
76%
16%
Source: Cisco Global Cloud Index, 2015–2020
Installed Workloads in Millions
Back to Index
SaaS Example: Collaboration in the CloudOn a Typical Day
IoS80%
Android 19.6%
Windows Mobile 0.22%
Blackberry 0.09%
Mobile attendees using WebEx are 7% and growing
An Internal Analysis
~40K Meetings ~112K Hours ~150K Attendees
August 2015 to August 2016 5% Increase in video
usage in meetings
An External Analysis
Source: Cisco Tahoe Call Detail Records and Netflow dataCisco Global Cloud Index 2015-2020
Healthcare Engineering Education Banking
Daily End-User Traffic*: Daily Data Center Traffic*:
163 TB373 TB
6 TB15 TB
6 TB13 TB
127 TB290 TB
0
100
200
300
400
500
600
2015 2016 2017 2018 2019 2020
Other Consumer Apps (23% CAGR)Search (25% CAGR)Social Networking (33% CAGR)Video Streaming (32% CAGR)ERP and Other Business Apps (17% CAGR)Database/ Analytics / IoT (22% CAGR)Collaboration (18% CAGR)Compute (21% CAGR)
Global Data Center WorkloadsBusiness Application Workloads Have the Highest Share; Social Networking and Media Streaming Have the Fastest Growth
21% CAGR 2015–2020
Consumer
Business
Source: Cisco Global Cloud Index, 2015–2020
Installed Workloads in Millions
Back to Index
0% 20% 40% 60% 80% 100%
ComputeCollaboration
Database/ Analytics / IoTERP and Other Business Apps
Video StreamingSocial Networking
SearchOther Consumer Apps
Traditional Private Cloud Public Cloud
Global Data Center Workloads—2015Private Cloud Dominates Enterprise WorkloadsPublic Cloud Dominates Consumer Workloads
Source: Cisco Global Cloud Index, 2015–2020
Consum
erB
usiness
Back to Index
0% 20% 40% 60% 80% 100%
ComputeCollaboration
Database/ Analytics / IoTERP and Other Business Apps
Video StreamingSocial Networking
SearchOther Consumer Apps
Traditional Private Cloud Public Cloud
Global Data Center Workloads—2020Public Cloud Dominates Consumer Applications
Source: Cisco Global Cloud Index, 2015–2020
Back to Index
Consum
erB
usiness
Data Center Traffic by Application—2020
22%
22%
10%17%
18%
12%SearchSocial NetworkingVideo StreamingBig DataWebOther
83%
13%
File SharingGamingVideo StreamingWeb/Data
Within Data Center Data Center to End User
Big Data is the fastest growing application within the data center, from 10% in 2015 to 17% in 2020Video is only 10% within the data centers but is 83% of data center to end-user Back to Index
Source: Cisco Global Cloud Index, 2015–2020
0200400600800
1,0001,2001,4001,6001,8002,000
2015 2016 2017 2018 2019 2020
Public Cloud Data CenterPrivate Cloud Data CenterTraditional Data Center 1,405
Global Data Center Storage: Traditional vs. CloudTotal Data Center Storage Will Grow Nearly 5-fold from 2015-2020Cloud Accounts for Nearly 90% of Installed Storage by 2020
Installed Storage
Capacity in Exabytes
37% CAGR 2015–2020
45%35% 12%
70%
18%20%
1,842
1,065
782
546382
Source: Cisco Global Cloud Index, 2015–2020
Back to Index
0200400600800
1,0001,2001,4001,6001,8002,000
2015 2016 2017 2018 2019 2020
Other Consumer Apps (33% CAGR)Search (33% CAGR)Social Networking (42% CAGR)Video Streaming (45% CAGR)ERP and Other Business Apps (29% CAGR)Database/ Analytics / IoT (37% CAGR)Collaboration (40% CAGR)Compute (37% CAGR)
Global Data Center Storage by WorkloadsEnterprise Application Workloads Have the Highest Share; Social Networking and Media Streaming Have the Fastest Growth
37% CAGR 2015–2020
Source: Cisco Global Cloud Index, 2015–2020
Consumer
Business
Installed Storage
Capacity in Exabytes
Back to Index
171 251370
513
689
915
0100200300400500600700800900
1,000
2015 2016 2017 2018 2019 2020
Data Stored in Data CentersData Stored to Quintuple by 2020
Data Stored in Exabytes
40% CAGR 2015–2020
Source: Cisco Global Cloud Index, 2015–2020
Back to Index
2543
73116
173
247
0
50
100
150
200
250
300
2015 2016 2017 2018 2019 2020
Big Data ForecastBig Data Volume Grows 10-FoldBig Data will Represent a Quarter of All Data in Data Center by 2020
Exabytes
58% CAGR 2015–2020
Source: Cisco Global Cloud Index, 2015–2020
Back to Index
Data Stored in Data Centers by Vertical—2015
Public Cloud/Web
Services32%
Government15%
Manufacturing9%
Healthcare8%
Transportation and Communications
6%
Energy5%
Finance5%
Basic Science5%
Education5%
Other4%
Retail3%
Media and Entertainment
3%
Data Center or Data Set Size in PB*Google Data Centers 8,000-10,000
Amazon Cloud Services 7,000-9,000
US Department of Defense 2,000-4,000
Baidu 1,000
Dropbox 500
Bank of America 170
NOAA Weather 120
Large Hadron Collider (CERN) 100
University of Pittsburgh Medical 85
European Bioinformatics Institute 75
Credit Suisse 40
Volkswagon 35
UPS 21
Source: Cisco Global Cloud Index, 2015–2020 and various public sources
* Total data stored at the end of 2015 Back to Index
Total Stored Data
Data Stored on Client Devices (PCs, Tablets, Phones, M2M…)
84% Client Devices or M2M 16% DC
Data Stored in Data Centers
2020
2015
PCs Smartphones + PhabletsTablets M2MExternal Storage Other
88% Client Devices or M2M 12% DC
The volume of all data stored will almost triple by 2020 from 1.4 ZB to 6.2 ZB.Most data is stored on client devices, but more moves to the data center over time.
2015
2020
2020Data at Rest (Stored)Data in Motion (Traffic)
981EBpermo.
1.4 ZB
6.2 ZB
52%
61%
18% 12% 8%915EB
Stored data on M2M modules grows the fastest at 68% CAGR The gap between traffic and stored reduces over the forecast period
5%5%
Back to IndexSource: Cisco Global Cloud Index, 2015–2020
1,329 1,561
1,754 1,926
2,111 2,309
0
500
1,000
1,500
2,000
2,500
2015 2016 2017 2018 2019 2020
Global Personal Cloud StorageMajority, 59%, of Residential Internet Users Will Use Cloud Storage by 2020
Consumers in Millions
12% CAGR 2015–2020
Source: Cisco Global Cloud Index, 2015–2020; Juniper Research
Back to Index
8 14
21 29
37
48
0
10
20
30
40
50
60
2015 2016 2017 2018 2019 2020
Global Personal Cloud Storage Traffic*
Exabytesper Year
42% CAGR 2015–2020
*Personal cloud storage traffic includes personal content lockers, cloud back-up, and does not include cloud DVR
Source: Cisco Global Cloud Index, 2015–2020
Back to Index
1.12.0
3.04.2
5.6
7.2
0
1
2
3
4
5
6
7
8
2015 2016 2017 2018 2019 2020
NA Personal Cloud Storage Traffic*
Exabytesper Year
45% CAGR 2015–2020
*Personal cloud storage traffic includes personal content lockers, cloud back-up, and does not include cloud DVR
Source: Cisco Global Cloud Index, 2015–2020
Back to Index
By 2020, 59% (2.3 Billion) of global residential Internet users will use personal cloud storage.The average monthly traffic per user will be 1.7 GB.
Back to Index
Complexity of Protocol Environment
Focu
s of
D
ata
Anal
ytic
s
Loca
l Le
vel
ProblematicConsolidated
Clo
ud
Leve
lAg
greg
atio
n Le
vel
Manageable
Electricity Metering
Usage-Based
Insurance
Home Automation
Source: Cisco Global Cloud Index, 2015–2020; Machina Research
M2M Applications and Cloud ComputingDifferent levels of Data Analytics Requirements Drive Fog / Cloud
Water Metering
CCTV (Event
Detection)
Smart Grid (Electricity)
Manufacturing (Process)
Oil and Gas (Upstream)
Warehousing and Storage
Building Automation
Manufacturing (Discrete)
Transport (Air)
Venue Management
Parking Space Mgmt
Transport (Road)
Transport (Rail)
Mining Operation
Street Lighting
Healthcare (Equipment)
Transport (Sea)
Connected Car (Autonomous
Driving)
Smart Grid
(Water)
Whether data analytics is done in cloud or at the edge (fog) will be
driven primarily by time-sensitivity and complexity of data analytics
requirements.
Back to Index
The Data Universe
900 Exabytes of Data in Data Centers
600 Zettabytes of Data Created Everywhere
5.2 Zettabytes of Data Stored in Devices
Source: Cisco Global Cloud Index, 2015–2020
Back to Index
What Makes a Smart City?Multiple Applications Create Big Data
Connected Factory
1 PB per day (0.2% transmitted)
Connected Plane
40 TB per day (0.1% transmitted)
Public Safety
50 PB per day (<0.1% transmitted)
Intelligent Building
275 GB per day (1% transmitted)
Smart Hospital
5 TB per day (0.1% transmitted)
Smart Car
70 GB per day (0.1% transmitted)
A city of one million
will generate 200 million gigabytes
of data per dayby 2020
Smart Grid
5 GB per day (1% transmitted)
Weather Sensors
10 MB per day (5% transmitted)
Source: Cisco Global Cloud Index, 2015–2020
Back to Index
1521
2938
48
60
5 7 9 11 13 15
0
10
20
30
40
50
60
70
2015 2016 2017 2018 2019 2020
Useable Data Created per YearData Center Traffic per Year
Data Created vs. Data Center TrafficData Created Outpaced
Zettabytes per Year
Opportunity for Edge or Fog Computing
Source: Cisco Global Cloud Index, 2015–2020
Back to Index
Examples of Broad Cloud AdoptionBarriers Overcome and Operational Efficiency Prevails
Netflix Closes Last DC, Completes Cloud Migration
“We rely on the cloud for all of our scalable computing and storage needs—our business logic, distributed databases and big data processing/analytics, recommendations, transcoding, and hundreds of other functions.” —Netflix Representative
Banks to Move 30% of Workloads to Cloud in 3 Years
“Pressure to cut infrastructure costs, increased flexibility, paired with security and compliance services from the cloud vendors has boosted banks’ willingness to explore the technology.” —Wall Street Journal
34.3% of Health Information Exchange is Already in the Cloud
“Healthcare organizations are increasingly willing to trust the cloud with Protected Health Information (PHI). 36.2% of patient engagement tools are in the cloud and 5.3% of the organizations leverage cloud for compute cycles to analyze big data.” —2016 HIMSS Analytics Cloud Survey
More than 50% of Workloads in the Cloud
The integrated oil company is undergoing a large scale migration to public cloud. “Pretty much anything and everything we’re setting up, they have sensors.” —Zhanna Golodryga, Hess CIOGE oil and gas migrated half of it’s core application to the cloud.
Back to Index
Global Cloud Readiness Business and Consumer Apps/Network Requirements
Basic Cloud Apps Intermediate Cloud Apps Advanced Cloud Apps
Network Requirements:Download Speed: Up to 750 kbpsUpload Speed: Up to 250 kbpsLatency: Above 160 ms
Network Requirements:Download Speed: 751–2,500 kbpsUpload Speed: 251–1,000 kbpsLatency: 159–100 ms
Network Requirements:Download Speed: Higher than 2,500 kbpsUpload Speed: Higher than 1,000 kbpsLatency: Less than 100 ms
Back to Index
Regional End-User Cloud Readiness—2016Supporting Business and Consumer Applications on Fixed Networks*
In 2016, 132 countries met the advanced single application readiness criteria for fixed networks, compared to 119 countrieslast year. * Non-Concurrent Apps
Back to Index
Regional End-User Cloud Readiness—2016Supporting Business and Consumer Applications on Mobile Networks*
In 2016, 89 countries met the advanced single application readiness criteria for mobile networks, compared to 81 countrieslast year. * Non-Concurrent Apps
Back to Index
Insecurity in the Internet of ThingsDyn, one of the internet's biggest DNS hit with a DDoS
145,000 devices were infiltrated, including security cameras and DVRs in homes and offices around the world.
Largest ever attack recorded, clocking in at 620 Gbps at its peak.
At its peak, equivalent to the entire Internet traffic in Chile, New Zealand, South Africa or Saudi Arabia Back to Index
58%
4%2%8%
28%
Office DocumentsPersonally identifiable informationProtected health informationConfidential dataOther
53%
50%
47%
47%
33%
SaaS
BigData
PaaS
IaaS
IoT
Sensitive Data Use by Enterprises in Cloud53% of Sensitive Data Use in the cloud on SaaS
Source: 2016 Vormetric Data Threat Report, 451 Research Group
Percentage of sensitive data stored in the cloud
Source: SkyHigh Cloud Adoption & Risk Report (2016)
Sensitive Data in the Cloud
Enabling Authentication and Secure Internet Percentage of Secure Internet Servers to All Web-Facing Servers
Western Europe51%
+1% YoY
Asia Pacific24%
+1% YoY
Central and Eastern Europe
34%+5% YoY
Latin America
14%+1% YoY
MEA12%
+2% YoY
North America28%
+1% YoY
Back to IndexSource: Cisco Global Cloud Index, 2015–2020
Cisco Global Cloud IndexWhere to Find More Information / Direct Questions
• Media Release• GCI White Paper• Cloud Readiness Report• GCI Q&A• GCI Highlights Tool• Cloud Readiness Tool
www.cisco.com/go/cloudindex
To further engage and ask questions, please join the GCI community: https://communities.cisco.com/community/solutions/sp/vni-gci
Back to Index
Global Cloud Index Forecast MethodologyProjecting Data Center and Cloud Traffic Growth
The methodology begins with the installed base of workloads categorized by workload type and implementation and then applies the volume of bytes per workload per month to obtain the traffic for current and future years.
Detailed methodology description and specific analyst sources included in complete GCI report
Installed Base of Workloads
Bytes of Traffic per Workload
per Month
Percent Traffic Within Data Center and Data Center to
Data Center
Analyst Data Measured Data Measured Data
Evolution of Data CenterBackup?
Hardware-Defined Network
Purpose-Built AppliancesHigh AvailabilityHigh Reliability
Overprovisioned in the Core
Software-Defined Network and NFV
Traffic EngineeringDynamic Service Chaining
Rapid Provision and Service CreationScaling ServicesWorkload Mobility
High FlexibilityCustomization
Data-Defined Network
Big Data + AI + SDN/NFVPredictive Load Balancing
Intelligent Congestion Management
Cloud Definition by NIST
On Demand/ Self Service
Broad Network Access
Resource Pooling
Rapid Elasticity
Measured Service
Cloud
Back to Index
Containers and VMs—A Comparison
• Application focused • Resource efficient
• don’t need hypervisors • share a single OS
• Faster and efficient provisioning• Suited for deploying similar workloads
simultaneously at scale• Security risk from vulnerabilities in
shared OS version/ kernel• Not suited for multi-tenant environments• Can be migrated to other servers with
compatible OS kernels
• Server focused• Resource heavy
• need hypervisors to emulate the physical server hardware
• need own OS copy• Slower to provision• Vulnerabilities in particular OS versions
cannot be leveraged to compromise other VMs
• Can be migrated from one server to another with suitable hypervisor, without regard for the system’s OS
Containers and VMs Can Coexist—Complimentary Technologies
Containers Virtual Machines