Big data (lost) in the cloud Online publication date: Tue, 30-Sep-2014
by Beniamino Di Martino; Rocco Aversa; Giuseppina Cretella; Antonio Esposito; Joanna Kołodziej
International Journal of Big Data Intelligence (IJBDI), Vol. 1, No. 1/2, 2014
Abstract: The big data era poses a critically difficult challenge and striking development opportunities to high performance computing (HPC). The major problem is an efficient transformation of the massive data of various types into valuable information and meaningful knowledge. Computationally-effective HPC is required in a fast-increasing number of data-intensive domains. With its special features of self-service and pay-as-you-use, cloud computing (CC) offers suitable abstractions to manage the complexity of the analysis of large data in various scientific and engineering domains. This paper surveys briefly the most recent developments on CC support for solving the big data problems. It presents a comprehensive critical analysis of the existing solutions and shows the further possible directions of the research in this domain including new generation multi-datacentre cloud architectures for the storage and management of the huge big data streams.
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