Knowledge-infused and consistent Complex Event Processing over real-time and persistent streams
نویسندگان
چکیده
منابع مشابه
Knowledge-infused and Consistent Complex Event Processing over Real-time and Persistent Streams
Emerging applications in Internet of Things (IoT) and Cyber-Physical Systems (CPS) present novel challenges to Big Data platforms for performing online analytics. Ubiquitous sensors from IoT deployments are able to generate data streams at high velocity, that include information from a variety of domains, and accumulate to large volumes on disk. Complex Event Processing (CEP) is recognized as a...
متن کاملActive Complex Event Processing over Event Streams
State-of-the-art Complex Event Processing technology (CEP),while effective for pattern query execution, is limited in itscapability of reacting to opportunities and risks detected bypattern queries. Especially reactions that affect the queryresults in turn have not been addressed in the literature.We propose to tackle these unsolved problems by embed-ding active rule sup...
متن کاملReal-time Top-K Predictive Query Processing over Event Streams
This paper addresses the problem of predicting the k events that are most likely to occur next, over historical real-time event streams. Existing approaches to causal prediction queries have a number of limitations. First, they exhaustively search over an acyclic causal network to find the most likely k effect events; however, data from real event streams frequently reflect cyclic causality. Se...
متن کاملSASE: Complex Event Processing over Streams
RFID technology is gaining adoption on an increasing scale for tracking and monitoring purposes. Wide deployments of RFID devices will soon generate an unprecedented volume of data. Emerging applications require the RFID data to be filtered and correlated for complex pattern detection and transformed to events that provide meaningful, actionable information to end applications. In this work, we...
متن کاملSASE: Complex Event Processing over Streams (Demo)
RFID technology is gaining adoption on an increasing scale for tracking and monitoring purposes. Wide deployments of RFID devices will soon generate an unprecedented volume of data. Emerging applications require the RFID data to be filtered and correlated for complex pattern detection and transformed to events that provide meaningful, actionable information to end applications. In this work, we...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Future Generation Computer Systems
سال: 2017
ISSN: 0167-739X
DOI: 10.1016/j.future.2016.10.030