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IBM收购Aspera 突破大数据传输瓶颈 有望应用于医疗领域

2013-12-26 MedSci MedSci原创

医疗大数据有一个重大的特点是数据“大”,一张CT或MR片子约300M,如果提高清晰度,所需容量更大,大量的影像学数据资料的传输瓶颈,限制了医疗信息化,以及远程诊疗的普及。因为,几乎没有足够的带宽能做到实时传输。 但最近的技术突破,有望解决这一难题。来自美国加州埃默里维尔市的Aspera公司,使用创新的FASP技术,能使大数据传输时间减少99.9%,可以使一个24G的文件传输从原来的26小时减少到

医疗大数据有一个重大的特点是数据“大”,一张CT或MR片子约300M,如果提高清晰度,所需容量更大,大量的影像学数据资料的传输瓶颈,限制了医疗信息化,以及远程诊疗的普及。因为,几乎没有足够的带宽能做到实时传输。

但最近的技术突破,有望解决这一难题。来自美国加州埃默里维尔市的Aspera公司,使用创新的FASP技术,能使大数据传输时间减少99.9%,可以使一个24G的文件传输从原来的26小时减少到30秒!真正实现同步,实时的大数据传输。MedSci认为,这项技术在未来5年左右时间,有望应用于医疗领域。

该公司刚刚被巨头IBM收购。位于加州埃默里维尔市的Aspera公司。Aspera帮助企业安全、快速的传输海量数据文件到世界各地。 Aspera专利FASP技术克服了固有的宽带广域网络瓶颈,该瓶颈阻碍了远距离大文件传输——比如高清晰度视频或科研文件。无论是在云中或者是基于云的授权用户和合作伙伴 ,Aspera的高速传输技术可以使大文件或数据集的传输时间减少99.9%,可以使一个24G的文件传输从原来的26小时消减到30秒。

“从数以万计的大数据项目合作经验中了解到,一旦企业具备快速从海量数据中提取价值的能力,他们就可以更好地参与竞争和赢得胜 利”,IBM B2B及商务解决方案副总裁John Mesberg表示。“通过此次收购,IBM公司为全球综合性企业清除了一个关键问题,该问题就是如何更快的将大数据文件传输到世界任何一个需要它的人手里。

在提供安全性、宽控制和可预见性的同时,Aspera在云中传输大数据比传统方法要快很多。Aspera使基于云计算的大数据传输更快 速,更可预测和更具性价比,比如企业存储备份、虚拟图像共享、或者快速进入云来增加处理事务的能力。其FASP技术授权给许多领先的云计算服务商,并将在明年晚些时候与IBM最近收购的SoftLayer云计算基础架构进行整合。Aspera最近获得Emmy奖以表彰其FASP协议在工程开发领域的杰出成就。该学会评论说FASP是一个“行业游戏规则的改变者”,几乎用在“所有主要的广播电视网、好莱坞电影和CG/动画领域。”

“我们的团队已经重新定义了世界上最大数据迅速、安全、可靠传输的方法”Aspera的总裁和创始人之一Michelle Munson说。“通过利用IBM的创新能力和全球资源,我们将为客户解决现在和将来不断扩大的数据传输挑战”。

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    2014-11-29 feather89
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    2013-12-28 tulenzi
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    2013-12-26 bio

    国内的盈谷医疗技术也很猛

    0

  6. [GetPortalCommentsPageByObjectIdResponse(id=1738748, encodeId=8b951e3874846, content=<a href='/topic/show?id=6e566913df' target=_blank style='color:#2F92EE;'>#ERA#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=52, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=6913, encryptionId=6e566913df, topicName=ERA)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=e36234488643, createdName=124988c7m106暂无昵称, createdTime=Sun Feb 23 02:22:00 CST 2014, time=2014-02-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1725561, encodeId=bdc81e25561ee, content=<a href='/topic/show?id=986913980dd' target=_blank style='color:#2F92EE;'>#PE#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=54, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=13980, encryptionId=986913980dd, topicName=PE)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f06c33759375, createdName=feather89, createdTime=Sat Nov 29 19:22:00 CST 2014, time=2014-11-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1719859, encodeId=fbdb1e19859ae, content=<a href='/topic/show?id=d49a35211c8' target=_blank style='color:#2F92EE;'>#医疗领域#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=57, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=35211, encryptionId=d49a35211c8, topicName=医疗领域)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=5c6a32837966, createdName=zsyan, createdTime=Sat May 24 08:22:00 CST 2014, time=2014-05-24, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1489919, encodeId=570f1489919e7, content=<a href='/topic/show?id=f91c93134e' target=_blank style='color:#2F92EE;'>#IBM#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=52, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=9313, encryptionId=f91c93134e, topicName=IBM)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=e0288649873, createdName=tulenzi, createdTime=Sat Dec 28 08:22:00 CST 2013, time=2013-12-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=6470, encodeId=47be64e04a, content=国内的盈谷医疗技术也很猛, beContent=null, objectType=article, channel=null, level=null, likeNumber=209, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=bio, createdTime=Thu Dec 26 23:22:00 CST 2013, time=2013-12-26, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=6460, encodeId=b5bb6460fd, content=能使大数据传输时间减少99.9%,可以使一个24G的文件传输从原来的26小时减少到30秒!实太牛X, beContent=null, objectType=article, channel=null, level=null, likeNumber=211, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=haiming, createdTime=Thu Dec 26 17:54:00 CST 2013, time=2013-12-26, status=1, ipAttribution=)]
    2013-12-26 haiming

    能使大数据传输时间减少99.9%,可以使一个24G的文件传输从原来的26小时减少到30秒!实太牛X

    0

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