{"id":29029,"date":"2022-04-14T06:00:00","date_gmt":"2022-04-14T13:00:00","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=29029"},"modified":"2022-04-15T09:11:04","modified_gmt":"2022-04-15T16:11:04","slug":"edge-computing-the-future-of-data-storage","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2022\/04\/14\/edge-computing-the-future-of-data-storage\/","title":{"rendered":"Edge Computing: The Future of Data Storage\u00a0"},"content":{"rendered":"\n

Data growth is exploding. Data creation is expected to reach a staggering 180 zettabytes by the year 2025<\/a>\u2014that\u2019s 118.8 zettabytes more than in 2020. As the volume of data we produce increases exponentially, so do the demands on data storage.<\/p>\n\n\n\n

This increase is being fueled by several factors. First, the need to power a growing number of base stations\u2014the fixed transceivers that serve as the main communication point for mobile technology like 5G (and even 6G)\u2014is expected to boom as the technologies become more popular. According to a report by Allied Market Research<\/a>, the 5G base station market is expected to reach over $190 billion dollars by 2030. <\/p>\n\n\n\n

Additionally, as the number of self-driving cars increases, so does the need for local storage and remote processing power in the cars themselves. As of mid-2021, there were over 1,400 self-driving cars in the U.S., however one<\/a> report<\/a> projects that there could be as many as 33 million autonomous vehicles (AVs) on the road by 2040. Other technologies like augmented reality (AR) and virtual reality (VR), plus the digitization of manufacturing (Industry 4.0<\/a>) are further driving this trend. <\/p>\n\n\n\n

Needless to say, it will be impossible to store all of this data in the cloud. As the demand to access and process data anytime, anywhere grows, backbone network bandwidth and centralized data centers\u2019 data processing capability slows dramatically. <\/p>\n\n\n\n

So what\u2019s the solution? <\/p>\n\n\n\n

Keeping up will require a completely different information technology (IT) infrastructure paradigm that moves computation and data storage much closer to data sources and end users than today\u2019s centralized data centers: The answer is edge computing.<\/p>\n\n\n\n

Edge computing offers a significant reduction in data traffic over the backbone network and much better quality of service (QoS); both natural effects of moving computation and storage closer to data sources and end users. Some industries have already caught on and are beginning to reap these benefits. For example, telecom companies have started to deploy edge computing infrastructures in order to steadily improve the QoS for their customers in the presence of growing 5G\/6G wireless communication systems. And rightly so: Edge computing is essentially the only option for telecom companies to reduce data roundtrip latency. This will also become a critical imperative for other emerging applications, such as AVs. <\/p>\n\n\n\n

But aside from these emerging technologies, all enterprises should have storage tiers at the edge. These tiers could fall into two categories: The first would be a highly distributed caching tier that keeps hot data closer to end users in order to minimize the network traffic from centralized data centers. The second category could be a highly distributed raw data staging tier that enables local pre-processing on raw data to reduce the network traffic to centralized data centers and decrease the processing burden. <\/p>\n\n\n\n

The success of edge computing largely depends on its cost effectiveness. As semiconductor technology scaling reaches its limit, heterogeneous and domain-specific computing become critical in maintaining the cost effectiveness of IT infrastructure. Another key component of future heterogeneous computing paradigms is computational storage<\/a>, which will serve as an essential building block for cost-effective edge computing infrastructure.<\/p>\n\n\n\n

Together, edge computing and cloud will compliment each other to form the foundation of future pervasive IT infrastructure. In the coming years, we can expect to see the continued growth of cloud in the form of centralized data centers, in addition to the rapid expansion of edge computing.<\/p>\n\n\n\n

The implications of edge computing are far-reaching and will be felt by businesses and consumers alike. The pervasiveness and performance of edge computing will directly determine the QoS experienced by everyday consumers, whether that\u2019s via video upload\/download speed or query response time. The backbone network and centralized data centers are no longer sufficient for meeting the new demands of data accessibility and processing. By ushering in the adoption of edge computing, enterprises and end-users can expect possibilities like never before. <\/p>\n\n\n\n

About the Author<\/strong><\/p>\n\n\n\n

\"\"<\/figure><\/div>\n\n\n\n

Dr. Tong Zhang is co-founder and Chief Scientist, ScaleFlux<\/a>. Dr. Zhang is a well-established researcher with significant contributions to the areas of data storage systems and VLSI signal processing. He is responsible for developing key techniques and algorithms for Computational Storage products and exploring their optimal use in mainstream application domains such as database. He is currently a Professor at Rensselaer Polytechnic Institute (RPI). His current and past research span over a wide range of areas, including database, filesystem, solid-state and magnetic data storage devices and systems, digital signal processing and communication, error correction coding, VLSI architectures, and computer architecture. He has published over 150 technical papers at prestigious USENIX\/IEEE\/ACM conferences and journals with the citation h-index of 36.<\/em><\/p>\n\n\n\n

Sign up for the free insideBIGDATA newsletter<\/a>.<\/em><\/p>\n\n\n\n

Join us on Twitter: @InsideBigData1 \u2013 https:\/\/twitter.com\/InsideBigData1<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

In this contributed article, Dr. Tong Zhang, Co-founder and Chief Scientist,\u00a0ScaleFlux, discusses the momentum of edge computing technology and how storage is fueling its next wave. The implications of edge computing are far-reaching and will be felt by businesses and consumers alike. By ushering in the adoption of edge computing, enterprises and end-users can expect possibilities like never before.\u00a0<\/p>\n","protected":false},"author":10513,"featured_media":22346,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[115,68,87,180,56,97,1],"tags":[361,593,96],"acf":[],"yoast_head":"\nEdge Computing: The Future of Data Storage\u00a0 - insideBIGDATA<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/insidebigdata.com\/2022\/04\/14\/edge-computing-the-future-of-data-storage\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Edge Computing: The Future of Data Storage\u00a0 - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"In this contributed article, Dr. Tong Zhang, Co-founder and Chief Scientist,\u00a0ScaleFlux, discusses the momentum of edge computing technology and how storage is fueling its next wave. The implications of edge computing are far-reaching and will be felt by businesses and consumers alike. By ushering in the adoption of edge computing, enterprises and end-users can expect possibilities like never before.\u00a0\" \/>\n<meta property=\"og:url\" content=\"https:\/\/insidebigdata.com\/2022\/04\/14\/edge-computing-the-future-of-data-storage\/\" \/>\n<meta property=\"og:site_name\" content=\"insideBIGDATA\" \/>\n<meta property=\"article:publisher\" content=\"http:\/\/www.facebook.com\/insidebigdata\" \/>\n<meta property=\"article:published_time\" content=\"2022-04-14T13:00:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2022-04-15T16:11:04+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2019\/03\/Data-Storage-shutterstock_5D84233447.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"300\" \/>\n\t<meta property=\"og:image:height\" content=\"183\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Editorial Team\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@insideBigData\" \/>\n<meta name=\"twitter:site\" content=\"@insideBigData\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Editorial Team\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/insidebigdata.com\/2022\/04\/14\/edge-computing-the-future-of-data-storage\/\",\"url\":\"https:\/\/insidebigdata.com\/2022\/04\/14\/edge-computing-the-future-of-data-storage\/\",\"name\":\"Edge Computing: The Future of Data Storage\u00a0 - insideBIGDATA\",\"isPartOf\":{\"@id\":\"https:\/\/insidebigdata.com\/#website\"},\"datePublished\":\"2022-04-14T13:00:00+00:00\",\"dateModified\":\"2022-04-15T16:11:04+00:00\",\"author\":{\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9\"},\"breadcrumb\":{\"@id\":\"https:\/\/insidebigdata.com\/2022\/04\/14\/edge-computing-the-future-of-data-storage\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/insidebigdata.com\/2022\/04\/14\/edge-computing-the-future-of-data-storage\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/insidebigdata.com\/2022\/04\/14\/edge-computing-the-future-of-data-storage\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/insidebigdata.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Edge Computing: The Future of Data Storage\u00a0\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/insidebigdata.com\/#website\",\"url\":\"https:\/\/insidebigdata.com\/\",\"name\":\"insideBIGDATA\",\"description\":\"Your Source for AI, Data Science, Deep Learning & Machine Learning Strategies\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/insidebigdata.com\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9\",\"name\":\"Editorial Team\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g\",\"caption\":\"Editorial Team\"},\"sameAs\":[\"http:\/\/www.insidebigdata.com\"],\"url\":\"https:\/\/insidebigdata.com\/author\/editorial\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Edge Computing: The Future of Data Storage\u00a0 - insideBIGDATA","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/insidebigdata.com\/2022\/04\/14\/edge-computing-the-future-of-data-storage\/","og_locale":"en_US","og_type":"article","og_title":"Edge Computing: The Future of Data Storage\u00a0 - insideBIGDATA","og_description":"In this contributed article, Dr. Tong Zhang, Co-founder and Chief Scientist,\u00a0ScaleFlux, discusses the momentum of edge computing technology and how storage is fueling its next wave. The implications of edge computing are far-reaching and will be felt by businesses and consumers alike. By ushering in the adoption of edge computing, enterprises and end-users can expect possibilities like never before.\u00a0","og_url":"https:\/\/insidebigdata.com\/2022\/04\/14\/edge-computing-the-future-of-data-storage\/","og_site_name":"insideBIGDATA","article_publisher":"http:\/\/www.facebook.com\/insidebigdata","article_published_time":"2022-04-14T13:00:00+00:00","article_modified_time":"2022-04-15T16:11:04+00:00","og_image":[{"width":300,"height":183,"url":"https:\/\/insidebigdata.com\/wp-content\/uploads\/2019\/03\/Data-Storage-shutterstock_5D84233447.jpg","type":"image\/jpeg"}],"author":"Editorial Team","twitter_card":"summary_large_image","twitter_creator":"@insideBigData","twitter_site":"@insideBigData","twitter_misc":{"Written by":"Editorial Team","Est. reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/insidebigdata.com\/2022\/04\/14\/edge-computing-the-future-of-data-storage\/","url":"https:\/\/insidebigdata.com\/2022\/04\/14\/edge-computing-the-future-of-data-storage\/","name":"Edge Computing: The Future of Data Storage\u00a0 - insideBIGDATA","isPartOf":{"@id":"https:\/\/insidebigdata.com\/#website"},"datePublished":"2022-04-14T13:00:00+00:00","dateModified":"2022-04-15T16:11:04+00:00","author":{"@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9"},"breadcrumb":{"@id":"https:\/\/insidebigdata.com\/2022\/04\/14\/edge-computing-the-future-of-data-storage\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/insidebigdata.com\/2022\/04\/14\/edge-computing-the-future-of-data-storage\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/insidebigdata.com\/2022\/04\/14\/edge-computing-the-future-of-data-storage\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/insidebigdata.com\/"},{"@type":"ListItem","position":2,"name":"Edge Computing: The Future of Data Storage\u00a0"}]},{"@type":"WebSite","@id":"https:\/\/insidebigdata.com\/#website","url":"https:\/\/insidebigdata.com\/","name":"insideBIGDATA","description":"Your Source for AI, Data Science, Deep Learning & Machine Learning Strategies","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/insidebigdata.com\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9","name":"Editorial Team","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g","caption":"Editorial Team"},"sameAs":["http:\/\/www.insidebigdata.com"],"url":"https:\/\/insidebigdata.com\/author\/editorial\/"}]}},"jetpack_featured_media_url":"https:\/\/insidebigdata.com\/wp-content\/uploads\/2019\/03\/Data-Storage-shutterstock_5D84233447.jpg","jetpack_shortlink":"https:\/\/wp.me\/p9eA3j-7yd","jetpack-related-posts":[{"id":32075,"url":"https:\/\/insidebigdata.com\/2023\/04\/12\/edge-computing-101-understanding-the-5-different-types-of-edge-solutions\/","url_meta":{"origin":29029,"position":0},"title":"Edge Computing 101: Understanding the 5 Different Types of Edge Solutions","date":"April 12, 2023","format":false,"excerpt":"In this special guest feature, Wayne Carter, VP Engineering of Couchbase, discusses the current state of edge computing, while digging into the different types of edge (including micro edge, mini edge, medium edge, heavy edge and multi-access) and when it makes sense to use them.","rel":"","context":"In "Big Data"","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2023\/04\/Wayne-Carter-Couchbase.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":33137,"url":"https:\/\/insidebigdata.com\/2023\/08\/16\/why-car-storage-depends-on-the-right-workload-analysis\/","url_meta":{"origin":29029,"position":1},"title":"Why Car Storage Depends on the Right Workload Analysis","date":"August 16, 2023","format":false,"excerpt":"In this sponsored post, Russell Ruben, director of automotive and emerging segment market, Western Digital, believes that as vehicle innovation continues over the next few years, driven by advances in sensors, 5G, AI, machine and deep learning and big data analytics, so must storage. Storage technology needs to keep up\u2026","rel":"","context":"In "Analytics"","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2023\/08\/Data_center_shutterstock_1062915266_special.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":26468,"url":"https:\/\/insidebigdata.com\/2021\/06\/15\/petabytes-to-zettabytes-operational-challenges-of-cluster-infrastructure\/","url_meta":{"origin":29029,"position":2},"title":"Petabytes to Zettabytes: Operational Challenges of Cluster Infrastructure","date":"June 15, 2021","format":false,"excerpt":"In this contributed article, Mark Yin, CEO of Platina Systems, points out that infrastructure and how it will be managed is undergoing a metamorphosis due to several key factors. The solutions outlined can help organizations stay on top of complex data issues with solutions that automate infrastructure provisioning and cloud\u2026","rel":"","context":"In "Big Data"","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2019\/03\/big-data-storage_SHUTTERSTOCK.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":82,"url":"https:\/\/insidebigdata.com\/2011\/08\/27\/zettabytes-petabytes-and-all-that-the-intersection-of-supercomputing-and-all-the-data-we-create\/","url_meta":{"origin":29029,"position":3},"title":"Zettabytes, Petabytes, and All That: The Intersection of Supercomputing and all the Data We Create","date":"August 27, 2011","format":false,"excerpt":"The SC10 technical program centered around three Technology Thrust areas this year: Climate Simulation, Heterogeneous Computing, and Data Intensive Computing. In this feature story sponsored by the SC10 Communications Committee, John West writes on the challenges of Big Data and how Data Intensive Computing is becoming an all-new scientific instrument\u2026","rel":"","context":"In "Data Storage"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":22399,"url":"https:\/\/insidebigdata.com\/2019\/04\/05\/major-disruptions-in-data-storage-technology-what-this-shake-up-means-for-the-enterprise\/","url_meta":{"origin":29029,"position":4},"title":"Major Disruptions in Data Storage Technology: What This Shake-Up Means for the Enterprise","date":"April 5, 2019","format":false,"excerpt":"In this special guest feature, Dave Donald, Founder and CEO of Keeper Technology, looks at some of the biggest disruptors we will see, or continue to see, shaking up the storage industry in 2019 including: SDS, NVMe, hyper-converged architectures, edge computing, and portable storage architectures.","rel":"","context":"In "Big Data"","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2019\/04\/Dave-Donald_200x200.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":15587,"url":"https:\/\/insidebigdata.com\/2016\/08\/02\/how-to-surf-the-tidal-wave-of-out-of-control-machine-data-growth\/","url_meta":{"origin":29029,"position":5},"title":"How to Surf the Tidal Wave of Out-of-Control Machine Data Growth","date":"August 2, 2016","format":false,"excerpt":"In this special guest feature, Ellen Rubin, CEO and co-founder of ClearSky Data, discusses three ways to extend the use of the cloud as effectively as possible when working to manage the increasing volume of machine generated data.","rel":"","context":"In "Big Data"","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2016\/08\/Ellen_Rubin.jpg?resize=350%2C200","width":350,"height":200},"classes":[]}],"_links":{"self":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/29029"}],"collection":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/users\/10513"}],"replies":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/comments?post=29029"}],"version-history":[{"count":0,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/29029\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media\/22346"}],"wp:attachment":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media?parent=29029"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/categories?post=29029"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/tags?post=29029"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}