Runtime adaptation of data stream processing systems: The state of the art
Data stream processing (DSP) has emerged over the years as the reference paradigm for
the analysis of continuous and fast information flows, which often have to be processed with …
the analysis of continuous and fast information flows, which often have to be processed with …
Handling big data: research challenges and future directions
I Anagnostopoulos, S Zeadally, E Exposito - The Journal of …, 2016 - Springer
Today, an enormous amount of data is being continuously generated in all walks of life by all
kinds of devices and systems every day. A significant portion of such data is being captured …
kinds of devices and systems every day. A significant portion of such data is being captured …
[图书][B] Principles of distributed database systems
MT Özsu, P Valduriez - 1999 - Springer
The first edition of this book appeared in 1991 when the technology was new and there were
not too many products. In the Preface to the first edition, we had quoted Michael Stonebraker …
not too many products. In the Preface to the first edition, we had quoted Michael Stonebraker …
Complex event recognition in the big data era: a survey
The concept of event processing is established as a generic computational paradigm in
various application fields. Events report on state changes of a system and its environment …
various application fields. Events report on state changes of a system and its environment …
Research on auto-scaling of web applications in cloud: survey, trends and future directions
Cloud computing emerging environment attracts many applications providers to deploy web
applications on cloud data centers. The primary area of attraction is elasticity, which allows …
applications on cloud data centers. The primary area of attraction is elasticity, which allows …
A comprehensive survey on parallelization and elasticity in stream processing
Stream Processing (SP) has evolved as the leading paradigm to process and gain value
from the high volume of streaming data produced, eg, in the domain of the Internet of Things …
from the high volume of streaming data produced, eg, in the domain of the Internet of Things …
Recent advancements in event processing
M Dayarathna, S Perera - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
Event processing (EP) is a data processing technology that conducts online processing of
event information. In this survey, we summarize the latest cutting-edge work done on EP …
event information. In this survey, we summarize the latest cutting-edge work done on EP …
[HTML][HTML] A survey on the evolution of stream processing systems
Stream processing has been an active research field for more than 20 years, but it is now
witnessing its prime time due to recent successful efforts by the research community and …
witnessing its prime time due to recent successful efforts by the research community and …
Elastic stream processing with latency guarantees
B Lohrmann, P Janacik, O Kao - 2015 IEEE 35th International …, 2015 - ieeexplore.ieee.org
Many Big Data applications in science and industry have arisen, that require large amounts
of streamed or event data to be analyzed with low latency. This paper presents a reactive …
of streamed or event data to be analyzed with low latency. This paper presents a reactive …
Latency-aware elastic scaling for distributed data stream processing systems
Elastic scaling allows a data stream processing system to react to a dynamically changing
query or event workload by automatically scaling in or out. Thereby, both unpredictable load …
query or event workload by automatically scaling in or out. Thereby, both unpredictable load …