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Cloud Computing

Gartner: Cloud-Based Security to Grow 21% in 2017

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Gartner: Cloud-Based Security to Grow 21% in 2017

The global cloud-based security service market will continue seeing strong growth in 2017, Gartner reports-- the market reaches $5.9 billion this year, a 21% increase over 2016.

Overall cloud-based security growth is above the total information security market, and as such the analyst forecasts it will reach "close" to $9bn by 2020. Driving such growth are mainstream services addressing security information and event management (SIEM) and access management (IAM), while emerging offerings such as threat intelligence enablement, cloud-based malware sandboxes, cloud-based data encryption, endpoint protection management, threat intelligence and web application firewalls (WAFs) are among the fastest-growing.

Also driving growth are SMBs-- such companies are increasingly aware of security threats. They also see the cloud as a means to reduce costs, especially for powering and cooling hardware-based security equipment and datacentre floor space.

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Aruba Kicks Off Milan Datacentre

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Aruba Kicks Off Milan Datacentre

Aruba opens the first phase of what it claims will be the largest datacentre campus in Italy-- the IT3 Global Cloud Data Centre located in Ponte San Pietro, around 40km outside of Milan.

The site covers 210000 square-metres of indoor space, but has buildings in need of either revamping or destruction. Its first facility, dubbed DC-A, is already operational and can support 4MW of equipment, of which 3MW are currently in use. At full capacity, it can be built out to hold 15MW, while the campus in full has the potential to carry loads up to 90MW.

IT3 is the 3rd for Aruba, and the 7th in total. The company says it will offer dedicated server space for large companies, public administrators, IT operators, SMEs, system integrators and telcos, as well as cloud infrastructure solutions of the disaster recover, business continuity, routing and hardware supply variety. Non-European companies and providers will also be able to host data locally, in compliance with GDPR regulations.

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Elastic Intros Elastic Cloud Enterprise

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Elastic Intros Elastic Cloud Enterprise

Elastic, the company behind Elasticsearch and the Elastic Stack, announces Elastic Cloud Enterprise (ECE)-- an infrastructure bundling the Elastic toolset for use with Elastic Stack.

According to the company, ECE allows enterprises to centralise the management, monitoring and provisioning of multiple Elastic Stack clusters. It also allows the deployment of X-Pack features, such as security, alerting, monitoring, graph, reporting and machine learning, as well as the running of Elasticsearch, Kibana and X-Pack on physical hardware, virtual environments, private clouds, a private zone in a public cloud, or a public cloud such as Google Cloud, Azure or AWS.

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Google Takes on Cloud-Based IoT Management

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Google Takes on Cloud-Based IoT Management

Google is the next company to announced a cloud-based Internet of Things (IoT) management service-- Cloud IoT Core, a means to connect IoT sensors and devices to the Google cloud platform.

As a service integrated with other Google hosted offerings, Cloud IoT Core provides a one-stop shop for the real-time collection, processing, analysis and visualisation of IoT data. As the search giant puts it, a transportation or logistics firm can use the service to collect data from vehicles, before combining it with information such as weather and traffic in order to further improve fleet management.

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Fujitsu, 1QBit Team Up in AI Cloud Service

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Fujitsu, 1QBit Team Up in AI Cloud Service

Fujitsu joins forces with 1QB Information Technologies to apply "quantum-inspired" technology to artificial intelligence, with a focus on combinatorial optimisation and machine learning.

The collaboration involves 1QBit quantum computer software running on a digital annealer joint-developed by Fujitsu and the University of Toronto. A digital annealer is a computer architecture able to rapidly solve combinatorial optimisation problems using existing semiconductor technology, with faster results than simulated annealing running on a conventional processor.

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