Journal of Advanced Database Management & Systems
Volume 4, Issue 3 (2017)
Published
Table of contents
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A Survey on Big Data Storage Issues in Cloud Computing Environment
Abstract: AbstractBig data is the collection of large set of data which holds many intelligence and raw information. In the digital world, handling and updating large volume of data in the real-time environment is a challenging task. This paper presents a compressive discussion on analytical techniques and processing methods for analysing the applications of big data with the purpose of constructing valuable information in cloud computing environment. This research aims to …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 3, 2017 · pp. 1–5 Read article
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Dynamic Update and Public Auditing with Dispute Arbitration for Cloud Data
Abstract: AbstractCloud computing is a kind of computing that relies on allocation of computing resources rather than having local servers or personal devices to handle applications. Storage outsourcing became an upward trend with the arrival of the cloud computing, promoting the secure remote data auditing to be appeared in the exploration. Moreover, this exploration considers the problem of data dynamics support, public verifiability and dispute arbitration concurrently. The data dynamics problem …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 3, 2017 · pp. 14–19 Read article
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Generation of Business Intelligence by Sentimental Analysis through Big Data and Hadoop
Abstract: AbstractOnline networking gives clients a platform to discuss successfully with companions, family, and partners, and gives them a stage to discuss their top pick (and minimum most loved brands). This "unstructured" discussion can provide organizations crucial understanding into how buyers see their image, and enable them to effectively settle on business choices to keep up their horizons. Fast in the volume of conclusion, rich online networking on the web has …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 3, 2017 · pp. 20–25 Read article
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Scheduling in Hadoop Cluster: A Review
Abstract: AbstractData generated by almost everything is electronically stored in the units of exabyte or zetabyte known as big data. For big data processing, Hadoop is considered as best choice. There are lots of challenges like storage, processing and resource allocation on the basis of job deadlines, QoS, budget, network bandwidth and data transmission. In order to solve these problems, various scheduling algorithms have been developed. These scheduling algorithms are classified …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 3, 2017 · pp. 26–31 Read article
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Comparative Study of Traditional Protocols with Advanced Cache Coherence Protocols
Abstract: AbstractCache coherence problem in chip multiprocessor (CMP) architecture has always been an important area of research. Despite of having a number of classes of protocols for solving this problem, researchers are still eager to explore various possibilities of improvement in the performance of the cache coherency protocols. In this paper, we studied and compared three cache coherency protocols for CMP architecture proposed very recently. These protocols are important because of …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 3, 2017 · pp. 6–13 Read article