Summary form only given. Cloud computing has become a globally accepted platform for data and activity management. Many business organizations are renting or developing their own cloud for migrating their data processing activities. For example, applications like Netflix, companies like Adobe, organizations like NASA and CIA use AWS (amazon web services) cloud platform for their data processing and data storage needs. However, some organizations, mainly finance (bank, mortgage companies, etc.) are reluctant to join the crowd for the right reasons; most important being security, privacy and trust. The cloud providers are not interested in providing the location information mainly because of the selection of the locations of data centers (DC) follows a semi-random pattern. Although some service providers do ask the customer preferred DC locations to store their data, no guarantee is given that their requests will be honored. Even if it is honored, there is no way for customers to verify or audit the provider's claim. Further, customer's data may migrate to other DCs without their knowledge. In conclusion, customers have no knowledge of their data location. For this reason, the reluctant organizations rightly argue that if they do not know where their customers' data is located, they cannot provide guarantee to their customers that their data is safe and their privacy is protected. Unfortunately, under present model, location-aware data centers cannot be created without revisiting the storage model of the cloud. In our research, we are developing a location-discovery scheme which can be placed at the application level and can easily identify the geographical location of the desired DCs where users' data is stored. We present our approach in this talk. This facility may satisfy to some extent, the security issues of financial organizations and they may think of incorporating cloud services. Our scheme confirms non-repudiation service and gives user a tool for audit- control providing strong assurances and is highly cost-effective.
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机译：摘要表格仅给出。云计算已成为全球接受的数据和活动管理平台。许多业务组织正在租用或开发自己的云，以迁移他们的数据处理活动。例如，Netflix等应用程序，如Adobe，Subilds，如NASA和CIA等组织使用AWS（Amazon Web Services）云平台进行数据处理和数据存储需求。但是，有些组织，主要是金融（银行，抵押贷款公司等）不愿意以正确的原因加入人群;最重要的是安全，隐私和信任。云提供商不兴趣提供定位信息，主要是因为选择数据中心的位置（DC）遵循半随机图案。虽然一些服务提供商确实要求客户首选的DC位置存储其数据，但没有保证他们的要求将获得荣誉。即使是荣誉，也没有办法核实或审核提供商的索赔。此外，客户的数据可能迁移到其他DCS，而无需他们的知识。总之，客户无法了解其数据位置。出于这个原因，不情愿组织正确地争辩说，如果他们不知道客户的数据所在的位置，他们不能向客户提供保证，他们的数据是安全的，他们的隐私受到保护。不幸的是，在当前模型下，无法在不重新定义云存储模型的情况下创建位置感知数据中心。在我们的研究中，我们正在开发一种位置发现方案，可以放置在应用程序级别，并且可以容易地识别存储用户数据的所需DC的地理位置。我们在这次谈话中提出了我们的方法。该设施可以在一定程度上满足金融组织的安全问题，他们可能会想到纳入云服务。我们的计划确认了不可否认的服务，并为用户提供了一个审计控制的工具，提供了强的保证，并且具有高度成本效益。
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