Add to ORKGDepartment of Computer Science and EngineeringIn the past decade, various distributed data processing systems have been developed. Among various challenging problems in big data processing, the importances of graph processing engines are being emphasized as it covers various use cases in social networks. Most of the proposed graph processing frameworks have common aspects such as BSP or GAS synchronization model, graph partitioning methods, network communication model, in-memory processing or disk-based processing, etc. These design factors have a significant impact on the overall performance and their usability. This thesis identifies these design choices of various distributed graph processing frameworks and it categorizes the frameworks ...
In this thesis, we study the problem of choosing among partitioning strategies in distributed graph ...
In this paper, we study the problem of choosing among partitioning strategies in distributed graph p...
In this age of information, data gathering has become a new growing trend. Social networking sites, ...
The world is becoming a more conjunct place and the number of data sources such as social networks, ...
The world is becoming a more conjunct place and the number of data sources such as social networks, ...
In recent years, processing and analysing large graphs has become a major need in many research area...
The amount of data generated every day is growing exponentially in the big data era. A significant p...
Graph processing is increasingly popular in a variety of scientific and engineering domains. Consequ...
With the prevalence of graph data in real-world applications (e.g., social networks, mobile phone ne...
Graphs are very important parts of Big Data and widely used for modelling complex structured data wi...
Graphs have become increasingly important to represent highly-interconnected structures and schema-l...
Distributed data mining is a relatively new area within computer science that is steadily growing, e...
The last decade has seen an increased attention on large-scale data analysis, caused mainly by the a...
Cloud computing frameworks today are being used to process extremely large graphs with billions of v...
Distributed vertex-centric graph processing systems such as Pregel, Giraph and GPS have acquired sig...
In this thesis, we study the problem of choosing among partitioning strategies in distributed graph ...
In this paper, we study the problem of choosing among partitioning strategies in distributed graph p...
In this age of information, data gathering has become a new growing trend. Social networking sites, ...
The world is becoming a more conjunct place and the number of data sources such as social networks, ...
The world is becoming a more conjunct place and the number of data sources such as social networks, ...
In recent years, processing and analysing large graphs has become a major need in many research area...
The amount of data generated every day is growing exponentially in the big data era. A significant p...
Graph processing is increasingly popular in a variety of scientific and engineering domains. Consequ...
With the prevalence of graph data in real-world applications (e.g., social networks, mobile phone ne...
Graphs are very important parts of Big Data and widely used for modelling complex structured data wi...
Graphs have become increasingly important to represent highly-interconnected structures and schema-l...
Distributed data mining is a relatively new area within computer science that is steadily growing, e...
The last decade has seen an increased attention on large-scale data analysis, caused mainly by the a...
Cloud computing frameworks today are being used to process extremely large graphs with billions of v...
Distributed vertex-centric graph processing systems such as Pregel, Giraph and GPS have acquired sig...
In this thesis, we study the problem of choosing among partitioning strategies in distributed graph ...
In this paper, we study the problem of choosing among partitioning strategies in distributed graph p...
In this age of information, data gathering has become a new growing trend. Social networking sites, ...