TAILIEUCHUNG - Consistent Streaming Through Time: A Vision for Event Stream Processing

Since the first Digital Forensic Research Workshop (DFRWS) in 2001 [Pal01], the need for a stan- dard framework has been understood, yet there has been little progress on one that is generally accepted. A framework for digital forensics needs to be flexible enough so that it can support future technologies and different types of incidents. Therefore, it needs to be simple and abstract. On the other hand, if it is too simple and abstract then it is difficult to create tool requirements and test procedures for each phase | Consistent Streaming Through Time A Vision for Event Stream Processing Roger S. Barga Jonathan Goldstein Mohamed Ali and Mingsheng Hong. Microsoft Research Redmond WA barga jongold t-mohali t-minhon @ ABSTRACT Event processing will play an increasingly important role in constructing enterprise applications that can immediately react to business critical events. Various technologies have been proposed in recent years such as event processing data streams and asynchronous messaging . pub sub . We believe these technologies share a common processing model and differ only in target workload including query language features and consistency requirements. We argue that integrating these technologies is the next step in a natural progression. In this paper we present an overview and discuss the foundations of CEDR an event streaming system that embraces a temporal stream model to unify and further enrich query language features handle imperfections in event delivery define correctness guarantees and define operator semantics. We describe specific contributions made so far and outline next steps in developing the CEDR system. Categories and Subject Descriptors H. Systems and Information Theory General Systems Theory General Terms Design Languages Theory Keywords Stream Events Temporal Consistency Retraction Semantics I. Motivation and Introduction Most businesses today actively monitor data streams and application messages in order to detect business events or situations and take time-critical actions 1 . It is not an exaggeration to say that business events are the real drivers of the enterprise today because they represent changes in the state of the business. Unfortunately as in the case of data management in pre-database days every usage area of business events today tends to build its own special purpose infrastructure to filter process and propagate events. Designing efficient scalable infrastructure for monitoring and processing events has been a

• Tổ chức sự kiện
• Appropriation Language
• Operating Levels
• Enacting Legislation
• Legislative Proposals
• Budget and Performance
• Purpose
• Mission Statement
• Mission Priorities
• laptops
• desktops
• messaging servers