CoopIS 2010 Keynote | Wil van der AalstThe Software as a Service (SaaS) paradigm is particularly interesting for situations where many organizations need to support similar processes. For example, municipalities, courts, rental agencies, etc. support highly similar processes. However, despite these similarities, there is also the need to allow for local variations in a controlled manner. Therefore, cloud infrastructures should provide configurable services such that products and processes can be customized while sharing commonalities. Configurable and executable process models are essential to realize such infrastructures. This will finally transform reference models from "paper tigers" (reference modeling a la SAP, ARIS, etc.) into an "executable reality". Moreover, "configurable services in the cloud" enable cross-organizational process mining. This way, organizations can learn from each other and improve their processes. | |
EI2N 2010 Keynote | Michael Sobolewski"Exerted Enterprise Computing: from Protocol-oriented Networking to Exertion-oriented Networking" From the very beginning of networked computing, the desire has existed to develop protocols and methods that facilitate the ability of people and automatic processes across different computers to share resources and information across different computing nodes in an optimized way. As ARPANET began through the involvement of the NSF to evolve into the Internet for general use, the steady stream of ideas became a flood of techniques to submit, control, and schedule jobs across enterprise systems. The latest in these ideas are the grid and cloud, intended to be used by a wide variety of different users in a non-hierarchical manner to provide access to powerful aggregates of distributed resources. Grids and clouds, in the ideal, are intended to be accessed for enterprise computation, data storage and distribution, and visualization and display, among other applications without undue regard for the specific nature of the hardware and underlying operating systems on the resources on which these jobs are carried out. | |
OTM 2010 Keynote | Beng Chin Ooi"Supporting OLTP and OLAP Queries on Cloud Platforms" MapReduce-based systems have been widely used for large-scale data analysis. Although these systems achieve storage-system independence, high scalability, and fine-grained fault tolerance, their performance have been shown to be unsatisfactory.It has also been shown that MapReduce-based systems are significantly slower than Parallel Database systems in performing a variety of analytic tasks. Some attribute the performance gap between MapReduce-based and Parallel Database systems to architectural design. This speculation yields an interesting question: Must a system sacrifice performance to achieve flexibility and scalability? Consequently, we conducted an in-depth performance study of MapReduce in its open source implementation, Hadoop. We identified various factors that have significant performance effect on the system. Subsequently, based on what we have learned, we propose a new architectural design as an attempt to support both OLTP and OLAP queries on Cloud platforms. I shall describe some of our ongoing work in this talk. |