Parallacs: Research in Storage and Compute Cloud Diversity

随着云存储和云计算的日益普及，组织开始考虑将数据和计算从自己的数据中心转移到云中。然而，云提供商的成功可能会给客户带来重大风险；即，更换提供商变得非常困难和昂贵。本研究议程将探索使云客户能够使他们使用的云存储和云计算提供商的集合多样化的方法。此外，它还将对由此产生的更多样化的系统进行建模、测量和优化。为了使云存储多样化，研究议程包括研究如何在云存储级别应用磁盘和文件系统使用的类似RAID的技术。通过跨多个提供商条带化用户数据，客户可以避免供应商锁定，降低切换提供商的成本，并更好地容忍提供商停机或故障。云存储提供商冗余阵列(RAC)充当代理，将存储负载透明地分散到多个提供商。为了使云计算多样化，研究议程调查了一种数据模型和结构，该模型和结构允许将计算发送到存储数据的位置，并直接在本地数据上执行。这种新的多样化存储云和多样化计算云有可能将控制权交还给用户，以保证数据和计算的完整性，同时仍然受益于整个云模式。

The increasing popularity of cloud storage and cloud computing is leading organizations to consider moving data and computation out of their own data centers and into the cloud. However, success for cloud providers can present a significant risk to customers; namely, it becomes very difficult and expensive to switch providers. This research agenda will explore methods that allow cloud customers to diversify the set of cloud storage and cloud computing providers they use. Further, it will model, measure, and optimize the resulting more diverse systems. To diversify cloud storage, the research agenda includes investigating how to apply RAID-like techniques used by disks and file systems, but at the cloud storage level. By striping user data across multiple providers, customers can avoid vendor lock-in, reduce the cost of switching providers, and better tolerate provider outages or failures. A redundant array of cloud storage providers (RACS) acts as a proxy that transparently spreads the storage load over many providers. To diversity cloud computations, the research agenda investigates a data model and structure that allows computation to be sent to where the data is stored and performed directly on local data. This new diversified storage cloud and diversified compute cloud has the potential to return control back to the user for assurance on the integrity of data and computation, while still benefiting from the whole cloud paradigm.