Service-generated Big Data and Big Data-as-a-Service: An Overview
Refereed conference paper presented and published in conference proceedings


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摘要With the prevalence of service computing and cloud computing, more and more services are emerging on the Internet, generating huge volume of data, such as trace logs, QoS information, service relationship, etc. The overwhelming service-generated data become too large and complex to be effectively processed by traditional approaches. How to store, manage, and create values from the service-oriented big data become an important research problem. On the other hand, with the increasingly large amount of data, a single infrastructure which provides common functionality for managing and analyzing different types of service-generated big data is urgently required. To address this challenge, this paper provides an overview of service-generated big data and Big Data-as-a-Service. First, three types of service-generated big data are exploited to enhance system performance. Then, Big Data-as-a-Service, including Big Data Infrastructure-as-a-Service, Big Data Platform-as-a-Service, and Big Data Analytics Software-as-a-Service, is employed to provide common big data related services (e. g., accessing service-generated big data and data analytics results) to users to enhance efficiency and reduce cost.
著者Zheng ZB, Zhu JM, Lyu MR
會議名稱IEEE International Congress on Big Data
會議開始日27.06.2013
會議完結日02.07.2013
會議地點Santa Clara
會議國家/地區美國
出版年份2013
月份1
日期1
出版社IEEE
頁次403 - 410
電子國際標準書號978-0-7695-5006-0
國際標準期刊號2379-7703
語言英式英語
關鍵詞Big data; Big Data-as-a-Service; service computing
Web of Science 學科類別Computer Science; Computer Science, Theory & Methods; Engineering; Engineering, Electrical & Electronic

上次更新時間 2020-27-10 於 00:58