Results 31 to 40 of about 2,924 (186)
Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022 With the rapid development of modern science and technology, we are now in an era of big data and digitalization of network, and people’s normal work and life are also implicitly influenced. Archives, as the information of various work examinations, are the imprints of the past and the basis for guiding the future.
Wenjingling Luo +2 more
wiley +1 more source
FogGuru: a Fog Computing platform based on Apache Flink [PDF]
2020 23rd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN), 2020 Fog computing infrastructure aims to offload computing resources from cloud providers by placing edge devices closer to end-users and/or data sources. Systems and methods for developing and deploying an application in Fog nodes are still in their infancy.
Battulga, Davaadorj +2 more
openaire +2 more sources
Novel Big Data Networking Framework Using Multihoming Optimization for Distributed Stream Computing
Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022 One of the main technologies for big data networking framework is online multihoming optimization that is large‐scale dimension table association technology in a distributed environment. It is often used in applications like real‐time suggestion and research. Big data is concerned with the quality of large datasets that are distributed.
G. Sanjiv Rao +6 more
wiley +1 more source
Apache Calcite: A Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources [PDF]
, 2018 Apache Calcite is a foundational software framework that provides query processing, optimization, and query language support to many popular open-source data processing systems such as Apache Hive, Apache Storm, Apache Flink, Druid, and MapD.
Begoli, Edmon +4 more
core +2 more sources
Peertrap: An Unstructured P2P Botnet Detection Framework Based on SAW Community Discovery
Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022 Botnet has become one of the serious threats to the Internet ecosystem, and botnet detection is crucial for tracking and mitigating network threats on the Internet. In the evolution of emerging botnets, peer‐to‐peer (P2P) botnets are more dangerous and resistant because of their distributed characteristics.
Ying Xing +4 more
wiley +1 more source
Concurrency and Computation: Practice and Experience, Volume 33, Issue 18, 25 September 2021., 2021 Summary Distributed data‐parallel processing systems like MapReduce, Spark, and Flink are popular for analyzing large datasets using cluster resources. Resource management systems like YARN or Mesos in turn allow multiple data‐parallel processing jobs to share cluster resources in temporary containers.
Lauritz Thamsen +4 more
wiley +1 more source
Business Process Event Prediction Through Scalable Online Learning
IEEE Access, 2021 Predictive process monitoring techniques aim to forecast outcomes of running business process instances. These techniques are based on using predictive models built from past observed behavior, i.e., in an offline setting.
Pedro Rico +4 more
doaj +1 more source
G‐CAS: Greedy Algorithm‐Based Security Event Correlation System for Critical Infrastructure Network
Security and Communication Networks, Volume 2021, Issue 1, 2021., 2021 The attacks on the critical infrastructure network have increased sharply, and the strict management measures of the critical infrastructure network have caused its correlation analysis technology for security events to be relatively backward; this makes the critical infrastructure network’s security situation more severe. Currently, there is no common
Peng Lu +5 more
wiley +1 more source
StreamApprox: Approximate Computing for Stream Analytics [PDF]
, 2017 Approximate computing aims for efficient execution of workflows where an approximate output is sufficient instead of the exact output. The idea behind approximate computing is to compute over a representative sample instead of the entire input dataset ...
Bhatotia, Pramod +5 more
core +1 more source
Evaluation of distributed stream processing frameworks for IoT applications in Smart Cities
Journal of Big Data, 2019 The widespread growth of Big Data and the evolution of Internet of Things (IoT) technologies enable cities to obtain valuable intelligence from a large amount of real-time produced data.
Hamid Nasiri +2 more
doaj +1 more source