Integrating the business cloud

F. Curbera
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引用次数: 2

Abstract

Summary form only given, as follows. Today���s organizations consume an increasing share of their computing resources as computing services, using an ondemand model and paying only for what they use. They consume cloud business applications and processes, and store and analyze vast amounts of information on cloud provisioned resources. Cloud computing is dramatically reducing the capital required to support IT operations, while bringing unprecedented openness, flexibility and access to enterprise computing. One of the paradoxes of this new environment is that openness and easy access to services and resources results in the creation of new barriers and computing silos. New ���born in the cloud��� enterprises are quickly discovering the difficulty of integrating SaaS services into their daily operations in efficient, secure and reliable ways. SaaS APIs are as siloed as traditional enterprise applications, if not more. Data is still represented in heterogeneous formats and kept in multiple application stores. Thus, while access and delivery have fundamentally improved, the core problems of process and data integration remain. If anything, they are getting harder. Successful technologies for process and data integration in the cloud will differ fundamentally from existing approaches for enterprise integration. While existing approaches focus on eliminating silos and leveling access to process and information, cloud integration will acknowledge barriers as the price of extending our reach beyond the limits a single organization and focus on linking capabilities and information. Instead of reengineering processes, new process integration technology will link processes and application services offered by specialized providers, leveraging instead of replacing available processes. Instead of coercing heterogeneous information into unified schemas, the new approach to information integration will link enterprise data and open data to offer virtual access to much richer information set. New cloud integration services are already being built leveraging a collection of technologies born on the Web and also within the enterprise. They include ���low touch��� technologies such as process correlation and mining, process analytics, linked and open data, and provenance among others. This keynote will discuss trends in SaaS and cloud-based integration, and review some of the foundational technologies that can support a new cloud centric data and application integration paradigm.
集成业务云
仅给出摘要形式,如下。今天的组织将越来越多的计算资源作为计算服务来消耗,使用按需模式并且只为他们使用的部分付费。它们使用云业务应用程序和流程,并存储和分析云供应资源上的大量信息。云计算极大地减少了支持IT运营所需的资本,同时为企业计算带来了前所未有的开放性、灵活性和可访问性。这种新环境的一个矛盾之处在于,对服务和资源的开放和易于访问导致了新的障碍和计算竖井的产生。新诞生于云的企业很快发现,将SaaS服务以高效、安全和可靠的方式集成到他们的日常运营中是很困难的。SaaS api与传统企业应用程序一样是孤立的,甚至更多。数据仍然以异构格式表示,并保存在多个应用程序存储中。因此,虽然访问和交付从根本上得到了改善,但过程和数据集成的核心问题仍然存在。如果说有什么不同的话,那就是它们正变得越来越难。成功的云中流程和数据集成技术将从根本上不同于现有的企业集成方法。虽然现有的方法侧重于消除孤岛和对流程和信息的均衡访问,但云集成将承认障碍是扩展我们的范围超出单个组织限制的代价,并专注于连接能力和信息。新的过程集成技术将连接由专门提供者提供的过程和应用程序服务,而不是重新设计过程,从而利用而不是替换可用的过程。新的信息集成方法将把企业数据和开放数据连接起来,提供对更丰富的信息集的虚拟访问,而不是将异构信息强制转换为统一的模式。新的云集成服务已经在利用Web和企业内部产生的一系列技术来构建。它们包括“低接触”技术,如过程关联和挖掘、过程分析、链接和开放数据以及来源等。本次主题演讲将讨论SaaS和基于云的集成的趋势,并回顾一些可以支持新的以云为中心的数据和应用程序集成范例的基础技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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