[PDF] Top 20 Survey of Distributed Stream Processing for Large Stream Sources

... A large number of sensors deployed for monitoring an environment can give decision makers real time information to take the best decisions as ...Also large shipping companies are using sensors to monitor ... See full document

... which large amounts of data generated in external environments are pushed to servers for real time ...traffic processing, network monitoring, and mobile ...In stream-based applications this data is ... See full document

... form distributed stream processing while aiming to achieve scalable and fault-tolerant execution on clus- ter ...one-pass processing model where the ap- plication is designed as a data-flow ... See full document

... Acknowledgments I would like to express my deepest gratitude to my supervisor, Prof. Yan Liu, for the patient guid- ance and advice she has provided throughout my graduate study. I used to have no confidence in academic ... See full document

... of large-scale distributed stream processing ...centralized stream processing system, Aurora ...a distributed environment: Aurora* and ...of stream-based ... See full document

... is large, Rhino achieves up to three orders of magnitude lower latency compared to Flink and two compared to Mega- ...is large, ...of large operator state on common ... See full document

... or processing location but they need to be distributed across multiple sites; ii) it is not possible to store data for off-line analysis but they must be continuously processed on-the- ...context, ... See full document

... potentially large amount of tran- sient information and, perhaps more importantly, prevents downstream servers from making ...lows processing to continue in spite of server failures. This aspect of ... See full document

... As an example when problematic input can only be identi- fied via its lineage, consider incoming TCP packet logs from a mobile network operator’s monitoring system (Fig. 3). In order to compute KPIs of user ... See full document

... a large tradition in distributed stream processing before the launch of Apache Storm, in academic and com- mercial ...different stream abstractions such as Stream [47], [48], ... See full document

... as sources, processing nodes and a data format for the representation of ...other stream processing frameworks, the streams API is not directly coupled to the streams runtime, but aims at ... See full document

... from large quantities of individual data ...data stream for sensors depends on sampling and so, existing a sample of the entire ...streams processing. Real-time data streams processing will ... See full document

... high processing efficiency, and therefore, it failed to recover from machine ...maintaining large state, workload fluctuations and multi-tenant resource ...selectively distributed and checkpointed ... See full document

... require distributed and near real- time solutions which can analyze the data on the fly and can infer high-level knowledge in near ...this large amount of data in real-time, an Event Driven Architecture ... See full document

... sufficiently large time windows, new data always pro- duces entity-rankings that are both, more fresh and also more relevant, with improvements reaching up to 24% in ... See full document

... Moreover, adding a single remote GPU shows that the overall performance can be increased up to a factor of three. When using both PCs for processing we use the manager node described in Section 5.2 that ... See full document

... 6.5. DISTRIBUTED LOAD INJECTOR 127 the user to maintain tuples in any desired format, as long as it provide a way to translate them to binary ...input stream is composed by tuples having non-decreasing ... See full document

... 6.5. DISTRIBUTED LOAD INJECTOR 127 the user to maintain tuples in any desired format, as long as it provide a way to translate them to binary ...input stream is composed by tuples having non-decreasing ... See full document

... Query Processing When a RSP query is triggered, we know that the state of an edge e ...a large number of SSSP ...query processing approach for case 2 and case 3 is the same as that in Section ... See full document

... Discretized Stream, or ...Resilient Distributed Dataset ...of stream processing engines for large scale applications like social network data ... See full document