{"title":"Data-as-a-Service: A Cloud-Based Federated Platform to Facilitate Discovery of Private Sector Datasets","authors":"Haojie Zhuang, Hing-Yan Lee","doi":"10.1109/ICCCRI.2015.34","DOIUrl":"https://doi.org/10.1109/ICCCRI.2015.34","url":null,"abstract":"Frequently described as the oil of the digital economy, data is today fervently sought after and its innovative use demonstrated in increasingly wide-ranging applications. To use data however, data users would first have to find them. In the realm of public / open data, there are often governmental and non-governmental agencies that consolidate and provide such data to users via centralized web portals. However, the equivalent is not available for datasets from the private sector, where data providers currently operate in highly-siloed environments. Data users seeking data but unfamiliar with the industry sector of interest have no straightforward mechanism to do so. This paper proposes Data-as-a-Service (DaaS) - a cloud-based, federated (peer-to-peer-like) dataset discovery platform based on open-source software, which allows for private sector data providers to increase visibility of their datasets to be discovered by unfamiliar data users. We explain the considerations behind the proposed dataset discovery platform and demonstrate it in a real-life pilot implementation.","PeriodicalId":183970,"journal":{"name":"2015 International Conference on Cloud Computing Research and Innovation (ICCCRI)","volume":"479 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128181917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Secure Email Attachment as a Service (SeaS)","authors":"Kheng Kok Mar, C. Y. Law","doi":"10.1109/ICCCRI.2015.33","DOIUrl":"https://doi.org/10.1109/ICCCRI.2015.33","url":null,"abstract":"In this paper we describe Secure Email Attachment as a Service (SeaS) which aims to provide a scalable and secure storage solutions for email attachments. Email remains the main communication platform for corporate users. It is a challenge for IT administrators to manage the ever increasing email storage requirements and the use of large email attachments has worsened the problem both in terms of storage requirements and network performance. Cloud-based email solutions such as Office365 and Gmail sought to ease the burden on the IT administrators, but using such online email solutions has its risks as confidential information may be leaked to the cloud providers. SeaS combines the traditional security of corporate email servers while offloading the email attachments storage and management to the cloud in a secure manner.","PeriodicalId":183970,"journal":{"name":"2015 International Conference on Cloud Computing Research and Innovation (ICCCRI)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125866537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}