This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019Cataloged from student-submitted PDF version of thesis.Includes bibliographical references (page 105).In this work, I analyze the problem of coflow scheduling on a multi-stage cross bar switch with a set of intermediate ports. Using a multi-stage abstraction for the data center network enables development of algorithms that reduce the network latency for certain traffic patterns. In this context, I compare the capabilities of the multi-stage network with the cross-bar switch via si...
This paper focuses on the problem of coflow scheduling with precedence constraints in identical para...
In recent years, Coflow scheduling has become a research hotspot in data center network. However, it...
Abstract—We consider the design and analysis of Data Cen-ter Network (DCN) architectures for interco...
In current data centers, an application (e.g., MapReduce, Dryad, search platform, etc.) usually gene...
Data parallel applications in data centers generate, process, and store huge volumes of data. Coflow...
Coflow is a recently proposed network abstraction to capture communication patterns in data centers....
Abstract — In the data flow models of today’s data center applications such as MapReduce, Spark and ...
Emerging distributed applications, such as big data analytics, generate a large number of flows that...
Over the past decade, the confluence of an unprecedented growth in data volumes and the rapid rise o...
Abstract—In the data flow models of today’s data center applications such as MapReduce, Spark and Dr...
International audienceDatacenter networks routinely support the data transfers of distributed comput...
Datacenter networks routinely support the data transfers of distributed computing frameworks in the ...
Coflow is a network abstraction used to represent communication patterns in data centers. The coflow...
© 2018 IEEE. Many datacenters usually process complex jobs such as MapReduce jobs. From a network pe...
Communication in data-parallel applications often involves a col-lection of parallel flows. Traditio...
This paper focuses on the problem of coflow scheduling with precedence constraints in identical para...
In recent years, Coflow scheduling has become a research hotspot in data center network. However, it...
Abstract—We consider the design and analysis of Data Cen-ter Network (DCN) architectures for interco...
In current data centers, an application (e.g., MapReduce, Dryad, search platform, etc.) usually gene...
Data parallel applications in data centers generate, process, and store huge volumes of data. Coflow...
Coflow is a recently proposed network abstraction to capture communication patterns in data centers....
Abstract — In the data flow models of today’s data center applications such as MapReduce, Spark and ...
Emerging distributed applications, such as big data analytics, generate a large number of flows that...
Over the past decade, the confluence of an unprecedented growth in data volumes and the rapid rise o...
Abstract—In the data flow models of today’s data center applications such as MapReduce, Spark and Dr...
International audienceDatacenter networks routinely support the data transfers of distributed comput...
Datacenter networks routinely support the data transfers of distributed computing frameworks in the ...
Coflow is a network abstraction used to represent communication patterns in data centers. The coflow...
© 2018 IEEE. Many datacenters usually process complex jobs such as MapReduce jobs. From a network pe...
Communication in data-parallel applications often involves a col-lection of parallel flows. Traditio...
This paper focuses on the problem of coflow scheduling with precedence constraints in identical para...
In recent years, Coflow scheduling has become a research hotspot in data center network. However, it...
Abstract—We consider the design and analysis of Data Cen-ter Network (DCN) architectures for interco...