توضیحات
Scalable database management systems (DBMS)—both for update intensive application workloads as well as decision support systems for descriptive and deep analytics—are a critical part of the cloud infrastructure and play an important role in ensuring the smooth transition of applications from the traditional enterprise infrastructures
to next generation cloud infrastructures. Though scalable data management has been a vision for more than three decades and much research has focussed on large scale data management in traditional enterprise setting, cloud computing brings its own set of novel challenges that must be addressed to ensure the success of
data management solutions in the cloud environment. This tutorial prese nts an organized picture of the challenges faced by application developers and DBMS designers in developing and deploying internet scale applications. Our background study encompasses both
classes of systems: (i) for supporting update heavy applications,and (ii) for ad-hoc analytics and decision support. We then focus on providing an in-depth analysis of systems for supporting update intensive web-applications and provide a survey of the state-of-theart in this domain. We crystallize the design choices made by some successful systems large scale database management systems, analyze the application demands and access patterns, and enumerate the desiderata for a cloud-bound DBMS
by: Divyakant Agrawal,Sudipto Das,Amr El Abbadi
infomation file :English language/page:4/size:222K
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کار از :Divyakant Agrawal,Sudipto Das,Amr El Abbadi
اطلاعات فایل :زبان انگلیسی /4صفحه /حجم :K222
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