{"id":1544,"date":"2017-04-06T05:46:12","date_gmt":"2017-04-06T03:46:12","guid":{"rendered":"http:\/\/blog.atola.com\/?p=1544"},"modified":"2026-05-06T07:22:05","modified_gmt":"2026-05-06T05:22:05","slug":"screenshot-analysis-imaging-a-freezing-drive","status":"publish","type":"post","link":"https:\/\/atola.com\/blog\/screenshot-analysis-imaging-a-freezing-drive\/","title":{"rendered":"Screenshot analysis: Imaging a freezing drive"},"content":{"rendered":"<p>Recently, we received an email from a long-standing client. The drive he was imaging contained a large number of errors. We would like to use this screenshot of a real-case imaging process to illustrate how well <em>Atola Insight Forensic<\/em> handles imaging hard drives in such dire state.<\/p>\n<p>In the screenshot the numbers show that despite encountering over 1100 errors, <em>Insight<\/em>\u00a0has already imaged 605 million sectors out of 1,745 million sectors it has attempted to image in this first pass. The speed may seem low, but Insight is actually able to read it, while most other imagers will likely be unable to even identify such device.<\/p>\n<p>Second, in this screenshot we have yet another example of the freezing\u00a0<em>drive recovery algorithm<\/em> in action, which helps make the imaging process much more efficient when imaging severely damaged drives like the one in our example.\u00a0We have recently posted a <a href=\"https:\/\/blog.atola.com\/imaging-freezing-damaged-drives\/\">guide<\/a> explaining how it works and helps Insight avoid long idle periods waiting for the disk to become ready.<\/p>\n<p>As for the situation in the screenshot: according to the algorithm, Insight issued two consecutive <em>resets<\/em>\u00a0(only after executing the second reset Insight adds a message to the <em>Log<\/em>\u00a0saying <em>Device freezes while reading block X \u2013 Y, <\/em>as shown in the red box area of the screenshot). Apparently, the drive has not become ready after both resets, and according to the freezing\u00a0<em>drive recovery algorithm,<\/em> Insight executed a <em>power cycle<\/em>, which proved effective: the drive became ready to start reading the next planned block of sectors.<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"801\" class=\"alignnone size-large wp-image-1545\" src=\"https:\/\/blog.atola.com\/wp-content\/uploads\/2017\/02\/arrows-2-1024x801.png\" alt=\"\" srcset=\"https:\/\/atola.com\/blog\/wp-content\/uploads\/2017\/02\/arrows-2-1024x801.png 1024w, https:\/\/atola.com\/blog\/wp-content\/uploads\/2017\/02\/arrows-2-150x117.png 150w, https:\/\/atola.com\/blog\/wp-content\/uploads\/2017\/02\/arrows-2-300x235.png 300w, https:\/\/atola.com\/blog\/wp-content\/uploads\/2017\/02\/arrows-2-768x601.png 768w, https:\/\/atola.com\/blog\/wp-content\/uploads\/2017\/02\/arrows-2.png 1155w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p>Finally, there are two graphs that reflect imaging progress: the upper one is called <em>imaging map bar<\/em> and shows imaging progress throughout the whole drive space. The lower one is called <em>read speed graph<\/em> and shows the time Insight spent reading recently imaged sectors. You might have noticed a few discrepancies about these graphs:<\/p>\n<ul>\n<li><strong>Why does the imaging map bar indicate that 10% of the drive have been imaged, but the progress bar looks more like 30% of the total drive space?<\/strong><br \/>\nThe bar reflects the media space between the first and the last sectors. The percentage indicates only the ratio of successfully imaged sectors and does not include the skipped blocks: in its first pass Insight performs one-million-sector jumps when encountering bad sectors. When Insight returns to the skipped blocks during the following passes, it will allocate more time to read each sector and will add the successfully imaged sectors to that percentage.<\/li>\n<li><strong>Why do the red zones in the Imaging map bar look larger than those in the read speed graph?<br \/>\n<\/strong>Each pixel in the Imaging map bar stands for thousands of sectors. The map gives priority to showing the location of errors as opposed to showing the location of good sectors. And being limited by the screen size and resolution, the imaging map bar may look very red in the course of imaging a drive with a large amount of errors. Especially during the first pass, before attempting to read the problematic sectors more thoroughly.<\/li>\n<li><strong>Why do the equally sized ranges in the read speed graph, contain substantially different numbers of sectors, according to the LBA values?\u00a0<\/strong><br \/>\nrange 1. there are 819,200 sectors between 1,733,217,921 and 1,734,037,121,<br \/>\nrange 2. there are 4,802,816 sectors between 1,734,037,121 and 1,738,839,937,<br \/>\nrange 3. there are 6,794,624 sectors between 1,738,839,937 and 1,745,634,561.<br \/>\nThe spans are different because of the number of bad blocks of sectors located between them. During the first pass, Insight performs a jump by 1 million sectors each time it encounters a block of sectors, which it cannot read.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Recently, we received an email from a long-standing client. The drive he was imaging contained a large number of errors. We would like to use this screenshot of a real-case imaging process to illustrate how well Atola Insight Forensic handles imaging hard drives in such dire state. In the screenshot [&hellip;]<\/p>\n","protected":false},"author":8,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[35],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Screenshot analysis: Imaging a freezing drive<\/title>\n<meta name=\"description\" content=\"We would like to use this screenshot of a real-case imaging process to illustrate how well Atola Insight Forensic handles imaging severely damaged drives.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/atola.com\/blog\/screenshot-analysis-imaging-a-freezing-drive\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Screenshot analysis: Imaging a freezing drive\" \/>\n<meta property=\"og:description\" content=\"We would like to use this screenshot of a real-case imaging process to illustrate how well Atola Insight Forensic handles imaging severely damaged drives.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atola.com\/blog\/screenshot-analysis-imaging-a-freezing-drive\/\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/AtolaTechnology\" \/>\n<meta property=\"article:published_time\" content=\"2017-04-06T03:46:12+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-05-06T05:22:05+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/blog.atola.com\/wp-content\/uploads\/2017\/02\/arrows-2-1024x801.png\" \/>\n<meta name=\"author\" content=\"Yulia Samoteykina\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@atola_insight\" \/>\n<meta name=\"twitter:site\" 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