کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4955809 1444363 2017 40 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Cloud storage reliability for Big Data applications: A state of the art survey
ترجمه فارسی عنوان
قابلیت اطمینان ذخیره سازی ابر برای برنامه های بزرگ داده: حالت نظرسنجی هنری
کلمات کلیدی
تحمل خطا، برنامه های داده بزرگ، فضای ذخیره ابری، تکثیر، برنامه نویسی پاک سازی، قابلیت اطمینان داده ها،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی
Cloud storage systems are now mature enough to handle a massive volume of heterogeneous and rapidly changing data, which is known as Big Data. However, failures are inevitable in cloud storage systems as they are composed of large scale hardware components. Improving fault tolerance in cloud storage systems for Big Data applications is a significant challenge. Replication and Erasure coding are the most important data reliability techniques employed in cloud storage systems. Both techniques have their own trade-off in various parameters such as durability, availability, storage overhead, network bandwidth and traffic, energy consumption and recovery performance. This survey explores the challenges involved in employing both techniques in cloud storage systems for Big Data applications with respect to the aforementioned parameters. In this paper, we also introduce a conceptual hybrid technique to further improve reliability, latency, bandwidth usage, and storage efficiency of Big Data applications on cloud computing.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Network and Computer Applications - Volume 97, 1 November 2017, Pages 35-47
نویسندگان
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