Artificial Intelligence
2020 ACM Fellows recognized for work that underpins contemporary computing
New York, NY, Jan. 13, 2021 (GLOBE NEWSWIRE) — ACM, the Association for Computing Machinery, has named 95 members ACM Fellows for wide-ranging and fundamental contributions in areas including artificial intelligence, cloud computing, computer graphics, computational biology, data science, human-computer interaction, software engineering, theoretical computer science, and virtual reality, among other areas. The accomplishments of the 2020 ACM Fellows have driven innovations that ushered in significant improvements across many areas of technology, industry, and personal life.
The ACM Fellows program recognizes the top 1% of ACM Members for their outstanding accomplishments in computing and information technology and/or outstanding service to ACM and the larger computing community. Fellows are nominated by their peers, with nominations reviewed by a distinguished selection committee.
“This year our task in selecting the 2020 Fellows was a little more challenging, as we had a record number of nominations from around the world,” explained ACM President Gabriele Kotsis. “The 2020 ACM Fellows have demonstrated excellence across many disciplines of computing. These men and women have made pivotal contributions to technologies that are transforming whole industries, as well as our personal lives. We fully expect that these new ACM Fellows will continue to be in the vanguard of their respective fields.”
Underscoring ACM’s global reach, the 2020 Fellows represent universities, corporations and research centers in Australia, Austria, Canada, China, Germany, Israel, Japan, The Netherlands, South Korea, Spain, Sweden, Switzerland, Taiwan, the United Kingdom, and the United States.
The contributions of the 2020 Fellows run the gamut of the computing field―including algorithms, networks, computer architecture, robotics, distributed systems, software development, wireless systems, and web science–to name a few.
Additional information about the 2020 ACM Fellows, as well as previously named ACM Fellows, is available through the ACM Fellows site.
2020 ACM Fellows
Daniel J. Abadi
University of Maryland
For contributions to distributed databases, column-store databases, deterministic databases, graph databases, and stream databases
James Allan
University of Massachusetts Amherst
For contributions to information retrieval, including topic detection and tracking
Srinivas Aluru
Georgia Institute of Technology
For contributions to parallel methods in computational biology and leadership in data science
Andrea C. Arpaci-Dusseau
University of Wisconsin
For contributions to storage and computer systems
Remzi Arpaci-Dusseau
University of Wisconsin
For contributions to storage and computer systems
Suman Banerjee
University of Wisconsin-Madison
For contributions to design, implementation, and tools of wireless systems.
Manuel Blum
Carnegie Mellon University
For contributions to the foundations of computational complexity theory and its application to cryptography and program checking
Lionel Briand
University of Ottawa and University of Luxembourg
For contributions to automated software testing
David Brooks
Harvard University
For contributions to software and hardware design for power-efficient computer architectures
Ran Canetti
Boston University
For contributions to cryptography and computer security
John Canny
University of California, Berkeley
For contributions in robotics, machine perception, human-computer interaction, and ubiquitous computing
Anantha Chandrakasan
Massachusetts Institute of Technology
For energy-efficient design methodologies and circuits that enabled ultralow-power wireless sensors and computing devices
Yao-Wen Chang
National Taiwan University
For contributions to algorithmic electronic design automation
Moses Charikar
Stanford University
For design of efficient algorithmic techniques for big data, hashing, approximation algorithms, and metric embeddings
Yiran Chen
Duke University
For contributions to nonvolatile memory technologies
Graham R. Cormode
University of Warwick
For contributions to data summarization and privacy enabling data management and analysis
Patrick Cousot
New York University
For contributions to programming languages through the invention and development of abstract interpretation
Mathieu Desbrun
Inria/Ecole Polytechnique/California Institute of Technology For contributions to geometry processing and discrete differential geometry
Whitfield Diffie
Findora Advanced Research Center
For the invention of asymmetric public-key cryptography and the promulgation of a practical cryptographic key-exchange method
Bonnie J. Dorr
Institute for Human and Machine Cognition
For human-centered and linguistically inspired approaches to natural language processing
Nicholas Duffield
Texas A&M University
For contributions to network measurement and analysis.
Alan Edelman
Massachusetts Institute of Technology
For contributions to algorithms and languages for numerical and scientific computing
Thomas Eiter
TU Wien
For contributions to knowledge representation and reasoning, logic programming, and declarative problem solving
Cormac Flanagan
University of California, Santa Cruz
For contributions to static and dynamic program debugging and verification methods
Jodi Forlizzi
Carnegie Mellon University
For contributions to design research in human-computer interaction
Dieter Fox
University of Washington
For contributions to probabilistic state estimation, RGB-D perception, and learning for robotics and computer vision
Sanjay Ghemawat
For contributions to distributed systems design
Antonio Gonzalez
Universitat Politecnica de Catalunya
For contributions to the design of energy-efficient and resilient computer architectures.
Andrew D. Gordon
Microsoft Research and University of Edinburgh
For contributions to programming languages: their principles, logic, usability, and trustworthiness
Steven Gribble
For contributions to virtualization technology across clusters, servers, and networks
Susanne E. Hambrusch
Purdue University
For research and leadership contributions to computer science education.
Martin Hellman
Stanford University
For the invention of asymmetric public-key cryptography and the promulgation of a practical cryptographic key-exchange method
Nicholas Higham
University of Manchester
For contributions to numerical linear algebra, numerical stability analysis, and communication of mathematics
C. Anthony (“Tony”) R. Hoare
University of Cambridge
For contributions to the theory of programming, and its application to the practice of engineering of software.
Holger H. Hoos
Universiteit Leiden
For contributions to automated algorithm selection and configuration for optimization and machine learning
Ihab F. Ilyas
University of Waterloo
For contributions to data cleaning and data integration
Lizy Kurian John
University of Texas at Austin
For contributions to the design, modeling and benchmarking of computer architectures
Joost-Pieter Katoen
RWTH Aachen University
For contributions to model checking of software and probabilistic systems
Nam Sung Kim
University of Illinois
For contributions to design and modeling of power-efficient computer architectures
Sven Koenig
University of Southern California
For contributions to artificial intelligence, including heuristic search and multi-agent coordination
David Kotz
Dartmouth College
For contributions to the security, privacy, and usability of mobile systems
Arvind Krishnamurthy
University of Washington
For contributions to networks and distributed computer systems
Ravi Kumar
Google Research
For contributions to web science modeling, analytics, and algorithms
Zhou Kun
Zhejiang University
For contributions to computer graphics
Brian Levine
University of Massachusetts Amherst
For contributions to network forensics, security, and privacy, and for thwarting crimes against children
Kevin Leyton-Brown
University of British Columbia
For contributions to artificial intelligence, including computational game theory, multi-agent systems, machine learning, and optimization
Xuelong Li
Northwestern Polytechnic University
For contributions to computing on and learning from higher-order data
Steven H. Low
Washington University in St. Louis
For contributions to adaptive real-time systems, real-time virtualization, and wireless cyber-physical systems
Chenyang Lu
Washington University
For contributions to the modeling and design of distributed systems
Samuel Madden
Massachusetts Institute of Technology
For contributions to data management and sensor computing systems
Scott Mahlke
University of Michigan
For contributions in compiler code generation for instruction level parallelism, and customized microprocessor architectures
David Maltz
Microsoft Azure
For contributions to networking infrastructure, including data center networking, network operating systems, and cloud networking
Volker Markl
TU Berlin
For contributions to query optimization, scalable data processing, and data programmability
Maja Mataric
University of Southern California
For contributions to socially assistive robotics and human-robot systems
Filippo Menczer
Indiana University
For research on the vulnerability of social media networks to disinformation and manipulation
Jose Meseguer
University of Illinois at Urbana-Champaign
For the development of logical methods for design and verification of computational systems
Meredith Ringel Morris
Microsoft Research
For contributions to human-computer interaction, information retrieval, computer-supported cooperative work, and accessibility
Nachiappan Nagappan
Microsoft Research
For contributions to empirical software engineering and data-driven software development
Radhika Nagpal
Harvard University
For contributions to collective intelligence, including self-organizing systems and swarm robotics
Moni Naor
Weizmann Institute of Science
For contributions to the foundations of cryptography and theoretical computer science
Chandrasekhar Narayanaswami
IBM T.J. Watson Research Center
For design and development of the Linux Watch and SoulPad, which influenced wearable and mobile systems
Sam H. Noh
Ulsan National Institute of Science and Technology
For contributions to storage system software, including flash and byte-addressable non-volatile memory
Prakash Panangaden
McGill University
For making continuous state systems amenable to logical and computational treatment
Sethuraman Panchanathan
National Science Foundation
For contributions to multimedia technologies and leadership in the scientific community
Manish Parashar
University of Utah
For contributions to high-performance parallel and distributed computing and computational science
Keshab K. Parhi
University of Minnesota
For contributions to architectures and design tools for signal processing and networking accelerators
Haesun Park
Georgia Institute of Technology
For contributions to numerical algorithms, data analytics, and leadership in computational science and engineering
Gordon Plotkin
University of Edinburgh
For contributions to the science of programming languages, particularly their operational and denotational semantics
Michael O. Rabin
Harvard University
For the introduction of nondeterministic automata, probabilistic automata, and for contributions to computability and computational complexity theory
Kui Ren
Zhejiang University
For contributions to wireless system security and cloud data security
Paul Resnick
University of Michigan
For contributions to recommender systems, economics and computation, and online communities
Mary Beth Rosson
Pennsylvania State University
For contributions to human-computer interaction, including scenario-based design
Steven Salzberg
Johns Hopkins University
For contributions to computational biology, including software for DNA sequence analysis, alignment, and genome assembly
Sanjit Arunkumar Seshia
University of California, Berkeley
For contributions to formal verification, inductive synthesis, and cyber-physical systems
Adi Shamir
Weizmann Institute of Science
For contributions to the field of cryptography
Heng Tao Shen
University of Electronic Science and Technology of China
For contributions to large-scale multimedia content understanding, indexing and retrieval.
Amit Sheth
University of South Carolina
For contributions to data semantics and knowledge-enhanced computing
Adam Smith
Boston University
For contributions to data privacy and cryptography
Olga Sorkine-Hornung
ETH Zurich
For contributions to digital geometry processing, computer animation, computer graphics and visual computing
Rick L. Stevens
Argonne National Laboratory
For contributions in high-performance computing systems, collaborative environments, and tools for large-scale science initiatives
Peter Stone
University of Texas at Austin
For contributions to automated planning, learning, and multiagent systems with applications in robotics and ecommerce
Yufei Tao
Chinese University of Hong Kong
For contributions to algorithms for large scale data processing
Leandros Tassiulas
Yale University
For contributions to network control and optimization with applications in communication networks
Kenneth Lane Thompson
For contributions to the development of operating systems theory and for the implementation of the UNIX operating system
Andrew Tomkins
Google
For contributions to face recognition, computer vision, and multimodal interaction
Olga Troyanskaya
Princeton University and Simons Foundation
For contributions to computational biology, data integration
Matthew A. Turk
Tokyo Institute of Technology and
University of California, Santa Barbara
For contributions to the understanding of the web and web-based social networks
Wil Van Der Aalst
RWTH Aachen University
For contributions to process mining, process management and data science
Toby Walsh
University of New South Wales Sydney, CSIRO Data61
For contributions to artificial intelligence
Wei Wang
University of California, Los Angeles
For contributions to the foundation and practice of data mining
Laurie Ann Williams
North Carolina State University
For contributions to empirical research on agile software development, software security, and software engineering education
Cathy H. Wu
University of Delaware
For contributions to bioinformatics, computational biology, knowledge mining and semantic data integration
Shuicheng Yan
YITU Technology
For contributions to visual content understanding techniques and application
Wang Yi
Uppsala University
For contributions to the automated analysis
and verification of real-time systems
Michael J. Zyda
University of Southern California
For contributions to game design, game and
virtual reality networking, and body tracking
About ACM
ACM, the Association for Computing Machinery is the world’s largest educational and scientific computing society, uniting computing educators, researchers and professionals to inspire dialogue, share resources and address the field’s challenges. ACM strengthens the computing profession’s collective voice through strong leadership, promotion of the highest standards, and recognition of technical excellence. ACM supports the professional growth of its members by providing opportunities for life-long learning, career development, and professional networking.
About the ACM Fellows Program
The ACM Fellows Program initiated in 1993, celebrates the exceptional contributions of the leading members in the computing field. These individuals have helped to enlighten researchers, developers, practitioners and end users of information technology throughout the world. The new ACM Fellows join a distinguished list of colleagues to whom ACM and its members look for guidance and leadership in computing and information technology.
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Jim Ormond Association for Computing Machinery (212) 626-0505 [email protected]
Artificial Intelligence
Actuators Market worth $94.8 billion by 2029 – Exclusive Report by MarketsandMarkets™
CHICAGO, March 29, 2024 /PRNewswire/ — The Actuators market is estimated at USD 67.7 billion in 2024 and is projected to reach USD 94.8 billion by 2029, at a CAGR of 7.0 % from 2024 to 2029 according to a new report by MarketsandMarkets™. The growth can be attributed to growing industrial automation and use of robots in various sectors like manufacturing and transportation, Developments in areas like sensor technology, connectivity, and control systems, The increasing demand for actuators is fueled by the expansion of sectors like healthcare (medical devices), oil & gas, and aerospace & defense, and the need for improved process control, energy efficiency, and safety regulations in various industries.
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Browse in-depth TOC on “Actuators Market” 300 – Tables175 – Figures350 – Pages
Actuators Market Report Scope:
Report Coverage
Details
Market Revenue in 2024
$ 67.7 billion
Estimated Value by 2029
$ 94.8 billion
Growth Rate
Poised to grow at a CAGR of 7.0%
Market Size Available for
2019–2028
Forecast Period
2023–2028
Forecast Units
Value (USD Million/Billion)
Report Coverage
Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Segments Covered
By Actuation, Application, Type, Vertical, and Region
Geographies Covered
North America, Europe, Asia Pacific, and Rest of World
Key Market Challenge
Issues of leakage in pneumatic and hydraulic actuators
Key Market Opportunities
Increased spending on renewable sources of energy for power generation
Key Market Drivers
Rapid industrialization and utilization of robotics
The Electric segment held the largest growth rate in the Actuators market by actuation.
By actuation, the Actuators market has been segmented into electric, hydraulic, pneumatic, and others. electric Segment to hold the highest growth rate during the forecast period. Electrical actuators use electricity to produce motion. These actuators can be further classified into solenoid actuators and motor-driven actuators. A solenoid used in an electric actuator works on the principle of electromagnetism. Electrical actuators provide control and acceleration at higher speeds. The force for applying thrust can be managed without the requirement for compressed air and the related infrastructure, and hence the total energy consumption in these actuators is lower. Electrical actuators can be used for various applications where linear as well as rotary actuation is required. They can be used for low torque as well as high torque requirements.
The vehicle equipment segment is expected to account for the largest share of Actuators by application in 2024.
By application, the Actuators industry is segmented into industrial automation, robotics, and vehicle equipment. The vehicles and equipment segment includes actuators used in automotive, aircraft, ships, and defense vehicles. These can be either hydraulic, pneumatic, electrical, or mechanical actuators. Actuators are widely used in various systems and sub-systems of an automobile, aircraft, ships as well as defense vehicles.
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Asia Pacific accounts for the largest market share in 2024.
The Actuators market has been studied in North America, Europe, Asia Pacific, Middle East, and Rest of the World. The Asia Pacific region accounts for the largest market share in 2024 as well as throughout the forecast period due to the increasing demand for actuators in the region to enhance the growth of the market. India is expected to show the highest growth rate in Asia Pacific Region for Actuators market.
Major players operating in the Actuators companies are SMC Corporation (Japan), Rockwell Automation (US), Curtiss-wright Corporation (US), ABB Ltd (Switzerland), and Parker Hennifin Corporation (US).
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Artificial Intelligence
Roborock Unveils Global No.1 Robotic Vacuum Cleaner Sales Ranking at International Launch Event
Certified by Euromonitor, Roborock attributes its rise to the top to embracing a long-term mindset while upholding customer-centric innovation above all else
BEIJING, March 29, 2024 /PRNewswire/ — Roborock, a global leader in ultra-intelligent home robotics engineered to simplify daily life, today announced it has taken the number one spot for robotic vacuum sales worldwide, according to new data by Euromonitor. Celebrating its achievements at a global launch event on the eve of its 10-year anniversary, the brand also revealed a glimpse of what is to come in the form of new product lines while sharing its vision for the future.
Founded in 2014, Roborock owes its success to its long-standing commitment to customer-centric innovation. By delivering meaningful solutions which improve everyday lives, Roborock has built a truly global fanbase, with Euromonitor data confirming that the brand has achieved the number 1 sales position worldwide for robotic vacuum cleaners[1].
“We are so honored to be celebrating this achievement with you all, which was made possible thanks to the ongoing trust and support received over the last 10 years.” Mr. Quan, Roborock President, announced, “Our path to success has been a marathon, not a sprint, as we have always kept in view our brand spirit of “taking the long view in order to do the right thing”. Our unwavering commitment to focusing on delivering true value to our customers is how we have built the brand affinity that has gotten us where we are today – firmly on our way to becoming a global leader in the smart home space.”
Steppingstones on the Path to Success: Roborock Achieves Steady Market Growth on Journey to Become a Global Leading Home Appliance Brand
Further cementing its global success story, the brand also revealed impressive results in many of its key markets. Roborock is now present in over 170 countries, serving over 15 million homes worldwide. According to data from IDC, Roborock ranks number one in Turkey and number two in the US in terms of sales, while also taking the top spot in Germany, Korea, and the Nordics in terms of shipments in 2023[2]. As revealed by Roborock’s latest Financial Earnings Report, the brand recorded a total revenue of 8.65 billion Yuan last year (US$1.22 billion), with total robot vacuum shipments surpassing 2.6 million units. Roborock’s overseas operation recorded revenue growth of 21.42% compared to the prior year and Roborock’s net profit was listed at 2.05 billion Yuan (US$288 million), achieving an overall annual growth rate of 73.32%. This consistent growth across all key markets demonstrates Roborock’s strategic choice to directly address consumer demands and striving for excellence across user experience is resonating with millions worldwide.
Despite these successes, Mr. Quan acknowledged these results were not in themselves the ultimate end goal. Globalization is a vital pillar of Roborock’s mission to become a leader in its field. As such, Roborock plans to expand its global footprint by introducing more innovative products that cater to the unique needs of global users, taking into account the different requirements of various markets, and extending more partnerships worldwide, ensuring that Roborock makes strides overseas on a larger scale and at a faster pace.
Meaningful Innovation: Roborock’s User-Centric R&D Principles and Latest Revolutionary Developments
Roborock’s passion to create value for its consumers propels them to continuously seek out new technological advancements that can serve real consumer pain points. From 2019 to 2023 Roborock invested 1.9 billion Yuan (260 million USD) in Research and Development. Roborock’s approach to take the long term view, ensures R&D teams are encouraged not to seek quick fixes, but to focus on innovation that will truly serve the needs of the end consumer, such as addressing key areas like cleaning capabilities, mapping and navigation, convenience and smart home interconnectivity.
Enhancing the cleaning capabilities of its latest range, Roborock has introduced the FlexiArm Design™ Side Brush, a stretching side brush delivering 100% corner cleaning coverage – elevating the user experience. When it comes to user satisfaction, delivering a low-maintenance, hands-free experience is also paramount. Roborock recently introduced an auto water refill and drainage system, which automatically emptying and replacing dirty water with clean water through pipes during mop washing and tank refilling.
Aside from advanced hardware solutions, Roborock has always invested heavily in the discovery and implementation of emerging technologies that can enhance the functionality and accessibility of its devices. Roborock’s Reactive AI 2.0 Obstacle Recognition technology can recognize and differentiate between floor and room types, accurately identifying 73 different obstacles to navigate, including floor mirrors and pet supplies. Roborock SmartPlanTM function uses an advanced AI algorithm to intelligently plan and optimize cleaning paths and settings based on user habits and specific home layout, making the cleaning process even more intelligent and efficient. The S8 MaxV Ultra is now certified by CSA for Matter, and other Roborock products will follow in the near future suit to enhance connectivity.
Enriching Roborock’s Product Portfolio to Enhance the Quality of Life for Consumers
Concluding the exciting launch, Roborock unveiled three exciting new product lines to its portfolio of intelligent automated devices. Roborock’s product managers took to the stage to introduce three new robotic vacuums – the G20S (S8 MaxV Ultra), V20 and P10S Pro.
The G20S (S8 MaxV Ultra) launched to great acclaim at CES 2024 and is Roborock’s most technologically advanced one-stop cleaning solution to date. A highly intuitive device, the G20S is equipped with FlexiArm Design™ Side Brush, a unique robotic arm that enables complete corner cleaning capabilities, and an extra side mop for edge cleaning, alongside Reactive AI 2.0 obstacle recognition, built-in intelligent voice assistant, and RockDock® Ultra which automatically maintains the robot cleaner using hot water and heated air with intelligent mop re-washing and re-mopping capabilities. The G20S (S8 MaxV Ultra) will be available to purchase globally from April, retailing for USD 1799.99 / EURO 1499.
Initially debuting in China, the V20 will be the world’s first robotic vacuum cleaner equipped with dual-vision 3DToF solid-state LiDAR navigation and obstacle avoidance system, which observes the reflection of modulated light to offer better depth accuracy for even more intuitive floor mapping. With an ultra-thin 8.2cm body and equipped with FlexiArm DesignTM corner and edge cleaning, DuoRoller Riser Brush, and maintenance-free cleaning dock, the V20 is set to redefine automated, low maintenance cleaning.
Finally, the P10S Pro is positioned as the perfect partner for those hard-to-reach spots. Combining FlexiArm DesignTM with an extendable side brush and mop, the device provides 100% corner coverage and the ultimate in edge-cleaning, taking even the trickiest surfaces in its stride.
These solutions further solidify Roborock’s commitment to satisfying the needs of its customers in its fearless pursuit of innovation. Stay tuned for further market specific launch announcements of these innovations and more.
About Roborock
Roborock is committed to innovation in researching, developing, and producing home cleaning devices, particularly robotic, cordless, and wet/ dry vacuum cleaners. Every Roborock product has been designed with an eye on solving genuine problems, so Roborock customers can live better lives. Currently, Roborock is available in more than 40 countries, including the U.S., Germany, France, and Spain. The company operates out of four locations, with offices in Beijing, Shanghai, Shenzhen, and Hong Kong. For more information visit https://global.roborock.com/.
[1] The data comes from Euromonitor International (Shanghai) Co., Ltd. The sales figures of robotic vacuum cleaners worldwide in the first three quarters of 2023 (in RMB hundred million) were used for calculation. Roborock ranks first in the industry. Robotic vacuum cleaner refers to vacuum cleaners that automatically move around rooms using sensors to clean floors. The research was completed in February 2024.
[2] Data based on IDC Quarterly Smart Home Device Tracker, 2023 Q4. Rankings for the US and Turkey are based on sales value, while rankings for Germany, the Nordic countries (Denmark, Finland, Norway, Sweden), and Korea are based on shipment volume
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Artificial Intelligence
Cato Shatters SASE Speed Record
Cato doubles throughput without any hardware upgrades, underscoring the value of a fully cloud-native platform.
TOKYO, March 29, 2024 /PRNewswire/ — Cato Networks, the SASE leader, announced a new SASE throughput record here at the Porsche Studio Ginza ahead of the 2024 Tokyo E-Prix, achieving 10 Gbps without hardware upgrades. At 10 Gbps, Cato became the first SASE platform to compete not only in the ABB FIA Formula E World Championship but also to deliver SASE performance so powerful that the TAG Heuer Porsche Formula E Team could transfer all the data of an entire Formula E season in under 2.5 hours instead of 3.5 days.
“We’re very excited to be partnering with the TAG Heuer Porsche Formula E Team at the 2024 Tokyo E-Prix,” says Shlomo Kramer, CEO and co-founder of Cato Networks. “The incredible speeds of the Gen3 racecars are only matched by the unprecedented throughput of Cato SASE Cloud. With 10 Gbps, we enable enterprises to replace their data center firewalls and enjoy all the benefits of a true, cloud-native SASE platform.”
Cato SASE Speed Record Up to 3x Other SASE Solutions on the Grid
As SASE continues its upmarket movement, higher capacity connections become essential for meeting various business needs such as bandwidth-intensive applications (cloud storage and backup, disaster recovery), hybrid clouds connecting two parts of the data center for inter-application processing, and large campuses.
To meet those challenges, Cato is introducing 10 Gbps throughput on a single, encrypted tunnel. The doubling of Cato Cloud Interconnect and Cato Socket performance comes without costly hardware upgrades, typical of appliance-based architectures. Compute-intensive operations that usually degrade edge appliance performance — packet encryption/decryption, security inspection, and the like — are handled by multiple Cato Single Pass Processing Engine (SPACE) cores, concurrently processing real-time traffic within Cato PoPs (Points of Presence). Parallel network flow processing is also enabled within the Cato Socket to maximize throughput end-to-end.
By contrast, SASE solutions implemented as virtual machines (VMs) in the cloud or modified web proxies remain limited to under 2 Gbps of throughput for a single tunnel. Appliance-based SASE
solutions top out at just under 3 Gbps. The lower throughputs force enterprises to artificially split traffic within locations across multiple tunnels from the edge appliance to the SASE PoP, a layer of complexity and risk that does not exist in Cato SASE Cloud.
Tokyo: A Place for Fast Cars and Fast Networks
The 2024 Tokyo E-Prix is the perfect venue to highlight Cato’s breakthrough performance. In the fast-paced world of Formula E, every second counts. The sport is intensively data-driven, where teams rely on their IT networks to analyze data and make critical, split-second strategy decisions to achieve a winning edge. Multiple computers in the car produce 100 to 500 billion data points per event, with more than 400 gigabytes of data generated and sent back to the cloud for analysis.
With 16 E-Prix this season, many in regions lacking Tokyo’s developed infrastructure, the ABB FIA Formula E Word Championship presents an incredible networking and security stress test. Cato SASE Cloud provides fast, secure, and reliable access to the TAG Heuer Porsche Formula E Team, regardless of location.
Tokyo, Osaka, and soon Sapporo form the three PoP locations within Japan. Within Tokyo, three Cato PoPs service the region; another two PoPs service Osaka. A sixth PoP is opening in Sapporo. Should users or locations lose access to any one PoP, they would immediately fail over to one of the other PoPs in Japan, providing the TAG Heuer Porsche Formula E Team and all Cato customers with incredibly reliable access in Tokyo – and across the globe.
To learn more about Cato SASE Cloud, visit us at https://www.catonetworks.com/platform/
To learn more about Cato’s partnership with the TAG Heuer Porsche Formula E Team, visit us at https://www.catonetworks.com/porsche-formula-e-team/.
About Cato Networks
Cato Networks is the leader in SASE, delivering enterprise security and networking in a single cloud platform. With Cato, organizations replace costly and rigid legacy infrastructure with an open and modular SASE architecture based on SD-WAN, a purpose-built global cloud network, and an embedded cloud-native security stack.
Want to learn why thousands of organizations secure their future with Cato? Visit us at www.catonetworks.com.
View original content:https://www.prnewswire.co.uk/news-releases/cato-shatters-sase-speed-record-302101273.html
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