IaaS PREDICTIVE ANALYTICS REPORT

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ANALYSIS

What You Need to Know

  • Breakouts in the IaaS predictive analytics are SaaS, Web API, Data structure. Seriously consider these technologies to gain a strategic advantage.
  • The technologies who are at the peak of their interest are Mobile app, Cloud Foundry, Heroku.
  • By far most employment needs are found in the Systems engineering, SaaS, Quality of service technologies.
  • These 3 fields have the most active practitioners who have the specific skill set or experience: Cloud computing, Alpha7, Data center.
  • VirtualBox, Chromebook, HTML5 lead in searches for information online.
  • These three technologies are receiving the highest investments to gain clients: Cloud computing security, Cloud Security Alliance, Cloud computing.
  • These three technologies have the most active advertisers: Cloud computing, Data centers, Data center.
  • In patents, these three technologies have the most coverage Data structure, Quality of service, Computer storage.
  • The most publications are available for Quality of service, Data structure, Systems engineering.
  • Instruction and courseware availability is highest in these technologies: Mobile app, HTML5, CUDA.

The IaaS report evaluates technologies and applications in terms of their business impact, adoption rate and maturity level to help users decide where and when to invest.

Infrastructure as a Service (IaaS) is a form of cloud computing that provides virtualized computing resources over the Internet. IaaS is one of three main categories of cloud computing services, alongside Software as a Service (SaaS) and Platform as a Service (PaaS).

The Predictive Analytics Scores below – ordered on Forecasted Future Needs and Demand from High to Low – shows you IaaS’s Predictive Analysis. The link takes you to a corresponding product in The Art of Service’s store to get started.

The Art of Service’s predictive model results enable businesses to discover and apply the most profitable technologies and applications, attracting the most profitable customers, and therefore helping maximize value from their investments. The Predictive Analytics algorithm evaluates and scores technologies and applications.

The platform monitors over ten thousand technologies and applications for months, looking for interest swings in a topic, concept, technology or application, not just a count of mentions. It then makes forecasts about the velocity of the interest over time, with peaks representing it breaking into the mainstream. Data sources include trend data, employment data, employee skills data, and signals like advertising spent, advertisers, search-counts, Instruction and courseware available activity, patents, and books published.

Predictive Analytics Scores:

001547 – Cloud Foundry
001188 – Cgroups
000833 – NoSQL
000708 – HDFS
000675 – Cloud engineering
000623 – OpenShift
000511 – Object storage
000433 – OpenStack
000412 – Block storage
000398 – Fog computing
000391 – Redis
000378 – Microsoft Azure
000376 – Data visualization
000350 – Amazon Web Services
000348 – Hypervisor
000343 – Cloud database
000338 – PaaS
000336 – Cloud API
000334 – Multitenant
000322 – Community cloud
000314 – SoftLayer
000298 – OpenACC
000284 – Graph database
000282 – Libvirt
000278 – Mobile backend as a service
000268 – Multicloud
000267 – Google for Work
000264 – Heroku
000255 – Rackspace
000255 – Key management
000249 – Platform engineering
000248 – Mobile app
000247 – Google Apps for Work
000238 – Apache Cassandra
000213 – Data centers
000203 – MongoDB
000194 – Google Drive
000184 – Oracle NoSQL Database
000177 – Neo4j
000174 – LevelDB
000173 – Multitenancy
000171 – Google Now
000167 – Java (programming language)
000164 – Software as a service
000159 – VCloud
000150 – OVirt
000150 – Cloud storage
000146 – Edge computing
000141 – Apache HBase
000131 – Memcached
000128 – Joyent
000128 – Code on demand
000119 – Solution stack
000117 – Bluemix
000106 – Cloud computing issues
000103 – Multiprocessing
000100 – CouchDB
000093 – Quality of service
000089 – Google Storage
000086 – Mendix
000083 – HTML5
000081 – Hyper-V
000080 – Chromebook
000078 – Virtual machines
000077 – Cloud computing security
000076 – OrientDB
000075 – Data center
000074 – Infinispan
000071 – CUDA
000070 – Cloud Security Alliance
000068 – OpenCL
000064 – Cloud research
000059 – Systems engineering
000056 – Virtual appliance
000053 – MISD
000052 – Virtualization
000052 – Pivotal Software
000046 – Virtual Machine Manager
000043 – Cilk
000043 – Amazon S3
000039 – Apache CloudStack
000036 – VLAN
000035 – Personal cloud
000031 – OutSystems
000031 – Iland
000030 – VirtualBox
000029 – OpenNebula
000028 – AllegroGraph
000026 – Process (computing)
000025 – OpenMP
000023 – HP Cloud
000017 – Engine Yard
000017 – Dbm
000013 – Mobile cloud computing
000013 – Information engineering
000012 – Web computing
000012 – EScience
000012 – Cloud computing
000011 – SISD
000007 – Web engineering
000006 – MIMD
000000 – Zadara Storage
000000 – Tarantool
000000 – Parallel LINQ
000000 – Libguestfs
000000 – Jelastic
000000 – CloudSigma
000000 – Cache coherence
000000 – Apache License
000000 – Alpha7


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