Tokyo and Kawasaki, April 17, 2017Fujitsu Limited and Fujitsu Client Computing Limited today announced the release of six new enterprise models across six product series. The new models are being rolled out in stages from mid-April in Japan.

In its Fujitsu Tablet ARROWS Tab series of tablets, Fujitsu is offering the new 10.1″ ARROWS Tab Q507/P-SP tablet, featuring Fujitsu Biometric Authentication Slide Passport⁽¹⁾, the world’s first tablet to incorporate Fujitsu’s slide-style palm vein authentication functionality.

In the Fujitsu Notebook LIFEBOOK and Fujitsu Desktop ESPRIMO product series, models featuring the latest 7th generation Intel Core processor family have been added to the lineup, while in the Fujitsu Workstation CELSIUS series, Fujitsu is launching the new CELSIUS H970 mobile workstation, featuring a 17.3″ full HD LCD display.

In the Fujitsu Thin Client FUTRO series, Fujitsu is strengthening its lineup with the launch of the FUTRO MU937 mobile notebook device, the world’s lightest, at a weight of just 799g⁽²⁾.

The Fujitsu Group is supporting the operations of its customers across a variety of industries by expanding the functionality of its various product lines.

Main Features of the New Products

1. Compact tablet with “Slide Passport,” world’s first slide-style palm vein authentication function

As part of its ARROWS Tab series of windows tablets, Fujitsu has launched the new ARROWS Tab Q507/P-SP, a 10.1″ compact and light tablet featuring Slide Passport, a slide-style palm vein authentication functionality offering both strong security and convenience. With the simple action of sliding your hand along the guides displayed on the tablet’s touchscreen, the small slide-style palm vein sensor installed in the tablet’s frame will read and authenticate the pattern of veins in your hand. The technology in this sensor was developed by Fujitsu Limited and Fujitsu Laboratories Ltd., and by adopting an 8mm optical unit that Dai Nippon Printing Co., Ltd. has been able to mass produce, it became possible to mount it in the narrow frame of a tablet. In addition, the tablet features both water resistance (IPX4) and dust resistance (IP5X)⁽³⁾, enabling use in a variety of business situations.

2. Enhanced both the LIFEBOOK series of notebooks and the ESPRIMO series of desktop PCs

Fujitsu has enhanced its lineup with one new model in its LIFEBOOK series and two new models in its ESPRIMO series, offering the latest seventh generation Intel Core processor family in the 13.3″ LIFEBOOK S937/P ultra-mobile notebook, the multifunction ESPRIMO D587/R desktop model, and the ultra-small ESPRIMO Q556/R desktop model.

3. CELSIUS H970 mobile workstation, featuring a large 17.3″ full HD high performance screen

Fujitsu has expanded its lineup of mobile notebooks in the CELSIUS series of workstations, launching the 17.3″ CELSIUS H970 mobile workstation, featuring either the latest seventh generation Intel Core processor family or the Intel Xeon E3-1500 v6 family. Because it can be equipped with the NVIDIA Quadro P4000, the latest 3D graphics card supporting the VR Ready logo, the workstation can quickly and easily handle applications such as the latest CAD, CAE⁽⁴⁾, and analytical simulations. With a large, 17.3″ screen and top-level graphics performance, this workstation offers a pleasant, stress-free work environment, even on the go.

4. FUTRO MU937 13.3″ mobile thin client, providing robust security and astonishingly light

Fujitsu is launching the world’s lightest 13.3″ mobile thin client, the FUTRO MU937, offering increased portability, with a weight of 799g and thickness of 15mm. Despite its extremely light body, it has cleared several strict tests, including pressure durability testing and drop testing⁽⁵⁾, offering both lightness and toughness. On the security front, in addition to the fingerprint sensor included as standard, it can also include a palm vein sensor (PalmSecure series) by custom order. By offering astonishing mobility and strong security, Fujitsu is supporting initiatives to transform how people work.

Pricing and Availability

Pricing and Availability

Product Family and Model Name	Suggested Retail Price (excl. tax)	Availability
Tablet
Fujitsu Tablet ARROWS Tab Q507/P-SP	From 85,300 JPY	Early August 2017
Notebook
Fujitsu Notebook LIFEBOOK S937/P	From 278,500 JPY	Mid-April 2017
Desktop
Fujitsu Desktop ESPRIMO D587/R	From 147,300 JPY	Mid-April 2017
Fujitsu Desktop ESPRIMO Q556/R	From 131,000 JPY	Late April 2017
Workstation
Fujitsu Workstation CELSIUS H970	From 465,900 JPY	Early May 2017
Thin Client
Fujitsu Thin Client FUTRO MU937	From 158,900 JPY	Mid-May 2017

Related Links

Fujitsu Tablet Movie & Case study

Press Release: “Fujitsu Develops World’s First Slide-Style Vein Authentication Technology Based on Palm Veins”

Tokyo, Japan, and Redwood City, CA., U.S., April 04, 2017Fujitsu Limited and Oracle today announced the launch of Fujitsu SPARC M12, a new lineup of enterprise servers now available worldwide.

Featuring Fujitsu’s new SPARC64 XII processor, Fujitsu SPARC M12 servers achieve the world’s highest per CPU core performance⁽¹⁾ in arithmetic processing, offering dramatic improvements for a wide range of database workloads, from mission-critical systems on premises to big data processing in the cloud.

The new Fujitsu SPARC M12 servers join the vibrant SPARC technology ecosystem, and together with Oracle’s SPARC systems they leverage the unique security and scalability features of the Oracle Solaris operating system, as well as the efficiency and versatility of the Oracle VM Server for SPARC virtualization software.

Fujitsu SPARC M12 servers are offered in two models: the two-processor Fujitsu SPARC M12-2 server, and the Fujitsu SPARC M12-2S server, which can be expanded incrementally to a maximum of 32 processors.

The new servers can help customers optimize investments in ICT infrastructure and create new value based on cutting-edge digital technology.

The forerunner of the Fujitsu SPARC M12 servers, the Fujitsu M10 server line, has been adopted by many customers as the core of their ICT infrastructure. Fujitsu M10 servers have contributed to optimized ICT investments by providing stable processing power for mission-critical databases at the foundation of corporate business, and reduced search time for information databases used in corporate marketing to 1/300th that of previous technology.

In recent years, as the Internet of Things (IoT), big data and artificial intelligence (AI) have become more prevalent in companies and society, there has been an ever-increasing volume of data to be processed, leading to demands for even greater performance, combined with a reduction in operational and management costs.

Features of the Fujitsu SPARC M12

1. Supporting customers’ digital transformation by providing high-speed processing

Performance per CPU core is a significant measure to consider when increasing data processing efficiency, and Fujitsu SPARC M12 servers offer up to 2.5 times better core performance compared to the previous Fujitsu M10 models. The Fujitsu-developed SPARC64 XII processor, with the world’s highest per core performance, maximizes processing capability in mission-critical systems and databases without increasing server complexity, contributing to the optimization of customer IT investments.

Software on Chip⁽²⁾, a feature carried on from the Fujitsu M10, accelerates database processing by leveraging the fact that use of in-memory databases for processing large volumes of data has been very effective in the cloud, expanding the number of simultaneous searches to twice that of the Fujitsu M10 when processing with Oracle Database In-Memory. The Fujitsu SPARC M12, which can dramatically accelerate a wide range of data processing, supports the digital transformations of customers by improving the efficiency of mission-critical systems, speeding up decision-making using big data, and improving customer services through multilateral information analyses.

2. Stable operations with industry-first, new cooling technology

Fujitsu cutting-edge IT expertise has been used to develop Vapor and Liquid Loop Cooling (VLLC) technology⁽³⁾. This industry-first cooling technology reliably cools the interior of the server through the phase change of liquid to vapor, roughly doubling cooling efficiency⁽⁴⁾, and enabling safe and stable operations when building a private cloud environment with multiple Fujitsu SPARC M12 servers installed in a data center.

3. Optimized operations and management costs suited for business growth

Fujitsu SPARC M12 servers provide CPU Core Activation functionality, for configuring CPU resources one core at a time from a minimum of just two cores per server. CPU Core Activation allows servers to be configured to meet business needs, with the dynamic flexibility to grow as needed.

The high-end Fujitsu SPARC M12-2S model offers additional scalability in the form of building block architecture to connect additional Fujitsu SPARC M12-2S server chassis to form flexible scale-up and scale-out servers. By connecting a maximum of 16 building blocks, a single system with over 3,000 CPU threads can be created. Fujitsu SPARC M12-2S servers provide an ideal foundation for private cloud implementations by mitigating initial investment risks while allowing for gradual expansion.

4. Supporting business continuity with stable system operation

Building on the Fujitsu mainframe heritage and the trusted RAS features⁽⁵⁾ found in Fujitsu M10 servers, Fujitsu SPARC M12 servers provide error detection and recovery mechanisms for error protection across all processor circuits, supporting stable operation of mission-critical processing.

Comment from Toshiyuki Awai, Managing Executive Officer, COO, IT Services Group, ITOCHU Techno-Solutions Corporation

ITOCHU Techno-Solutions Corporation (CTC) welcome the announcement of a new product to the SPARC platform. Leveraging our broad implementation experience and SPARC server know-how, CTC have been offering safety and confidence to customers by providing various services, such as POC, system integrations and operations or maintenance support services. I am confident that the combination of SPARC servers, equipped with the world’s highest performance processor, the SPARC64 XII, and CTC’s solutions and services will contribute to optimizing customers’ IT investments.

Comment from Edward Screven, Chief Corporate Architect, Oracle Corporation

Oracle and Fujitsu have worked together for more than three decades to produce SPARC systems satisfying the demanding requirements of mission critical infrastructure. Fujitsu SPARC M12 servers featuring the new SPARC64 XII processor for extreme core performance is an exciting addition to the SPARC family, allowing customers to address their most difficult computing challenges with systems that offer both high performance and enterprise reliability.

Comment from Akira Kabemoto, SEVP, Fujitsu

The revolutionary technology of the Fujitsu SPARC M12 enables real-time connections between people, businesses and a variety of things, and represents a step toward achieving Fujitsu’s aim of a Human Centric Intelligent Society. In addition to the Fujitsu SPARC M12, which is a result of close collaboration between Fujitsu and Oracle, Fujitsu will continue to develop cutting-edge technology that contributes to the creation of new value and supports customers in expanding their businesses.

Related Websites

• Sites introducing Fujitsu SPARC M12:Fujitsu
  Oracle
• Fujitsu SPARC M12 social media links:YouTube
• Oracle Hardware Social media links:Facebook
  Twitter

Trademark Notice

Oracle and Java are registered trademarks of Oracle Corporation, its subsidiaries, and its affiliates in the US and other countries.

All SPARC trademarks, which are used under license, are trademarks of SPARC International, Inc. in the US and other countries. The SPARC64 trademark is a trademark of SPARC International, Inc. in the US and other countries, and is being used under license.

UNIX is a registered trademark of The Open Group in the US and other countries.

SPEC and the SPECint benchmark name are trademarks or registered trademarks of Standard Performance Evaluation Corporation (SPEC) in the US and other countries.

All other trademarks referenced herein are the property of their respective owners.

Kawasaki, Japan, March 17, 2017Fujitsu Laboratories Ltd. today announced the development of technology to integrate and rapidly analyze NoSQL databases, used for accumulating large volumes of unstructured IoT data, with relational databases, used for data analysis for mission-critical enterprise systems.

NoSQL databases are used to store large volumes of data, such as IoT data output from various IoT devices in a variety of structures. However, due to the time required for structural conversion of large volumes of unstructured IoT data, there was an issue with the processing time of analysis involving data across NoSQL and relational databases.

Now Fujitsu Laboratories has developed technology that optimizes data conversion and reduces the amount of data transfer by analyzing SQL queries to seamlessly access relational databases and NoSQL databases, as well as a technology that automatically partitions the data and efficiently distributes execution on Apache Spark⁽¹⁾, a distributed parallel execution platform, enabling rapid analysis integrating NoSQL databases to relational databases.

When this newly developed technology was implemented in PostgreSQL⁽²⁾, an open source relational database, and its performance was evaluated using open source MongoDB⁽³⁾ as the NoSQL database, query processing was accelerated by 4.5 times due to the data conversion optimization and data transfer reduction technology. In addition, acceleration proportional to the number of nodes was achieved with the efficient distributed execution technology on Apache Spark.

With this technology, a retail store, for example, could continually roll out a variety of IoT devices in order to understand information such as customers’ in-store movements and actions, enabling the store to quickly try new analyses relating this information with data from existing mission-critical systems. This would contribute to the implementation of one-to-one marketing strategies that offer products and services suited for each customer.

Details of this technology were announced at the 9th Forum on Data Engineering and Information Management (DEIM2017), which was held in Takayama, Gifu, Japan, March 6-8.

Development Background

In recent years, IoT and sensor technology are improving day by day, enabling the collection of new information that was previously difficult to obtain. It is expected that connecting this new data with data in existing mission-critical and information systems will enable analyses on a number of fronts that were previously impossible.

For example, in a retail store, it is now becoming possible to obtain a wide variety of IoT data, such as understanding where customers are lingering in the store by analyzing the signal strength of the Wi-Fi on the customers’ mobile devices, or understanding both detailed actions, such as which products the customers looked at and picked up, and individual characteristics, such as age, gender, and route through the store, by analyzing image data from surveillance cameras. By properly combining this data with existing business data, such as goods purchased and revenue data, and using the result, it is expected that businesses will be able to implement one-to-one marketing strategies that offer products and services suited for each customer.

Issues

When analyzing queries that span relational and NoSQL databases, it is necessary to have a predefined data format for converting the unstructured data stored in the NoSQL database into structured data that can be handled by the relational database in order to perform fast data conversion and analysis processing. However, as the use of IoT data has grown, it has been difficult to define formats in advance, because new information for analysis is often being added, such as from added sensors, or from existing sensors and cameras receiving software updates to provide more data, for example, on customers’ gazes, actions, and emotions. At the same time, data analysts have been looking for methods that do not require predefined data formats, in order to quickly try new analyses. If, however, a format cannot be defined in advance, the conversion processing overhead is very significant when the database is queried, creating issues with longer processing times when undertaking an analysis.

About the Technology

Now Fujitsu Laboratories has developed technology that can quickly run a seamless analysis spanning relational and NoSQL databases without a predefined data format, as well as technology that accelerates analysis using Apache Spark clusters as a distributed parallel platform. In addition, Fujitsu Laboratories implemented its newly developed technology in PostgreSQL, and evaluated its performance using MongoDB databases storing unstructured data in JSON⁽⁴⁾ format as the NoSQL databases.

Details of the technology are as follows:

1. Data Conversion Optimization Technology

This technology analyzes database queries (SQL queries) that include access to data in a NoSQL database to extract the portions that specify the necessary fields and their data type, and identify the data format necessary to convert the data. The query is then optimized based on these results, and overhead is reduced through bulk conversion of the NoSQL data, providing performance equivalent to existing processing with a predefined data format.

2. Technology to Reduce the Amount of Data Transferred from NoSQL Databases

Fujitsu Laboratories developed technology that migrates some of the processing, such as filtering, from the PostgreSQL side to the NoSQL side by analyzing the database query. With this technology, the amount of data transferred from the NoSQL data source is minimized, accelerating the process.

3. Technology to Automatically Partition Data for Distributed Processing

Fujitsu Laboratories developed technology for efficient distributed execution of queries across multiple relational databases and NoSQL databases on Apache Spark. It automatically determines the optimal data partitioning that avoids unbalanced load across the Apache Spark nodes, based on information such as the data’s placement location in each database’s storage.

Effects

Fujitsu Laboratories implemented this newly developed technology in PostgreSQL, and evaluated performance using MongoDB as the NoSQL database. When evaluated using TPC-H benchmark queries that evaluate the performance of decision support systems, application of the first two technologies accelerated overall processing time by 4.5 times that of existing technology. In addition, using the third technology to perform this evaluation on an Apache Spark cluster with four nodes, a performance improvement of 3.6 times that of one node was achieved.

Using this newly developed technology, it is now possible to efficiently access IoT data, such as sensor data, through an SQL interface common throughout the enterprise field, which can flexibly support frequent format changes in IoT data, enabling fast processing of analyses including IoT data.

Future Plans

Fujitsu Laboratories will continue trialing this newly developed technology when applied to large scale Apache Spark clusters, planning for commercial implementation by Fujitsu Limited within fiscal 2017.