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An efficient online algorithm for dynamic SDN controller assignment in data center networks
Software defined networking is increasingly prevalent in data center networks for it enables
centralized network configuration and management. However, since switches are statically …
centralized network configuration and management. However, since switches are statically …
Is advance knowledge of flow sizes a plausible assumption?
Recent research has proposed several packet, flow, and coflow scheduling methods that
could substantially improve data center network performance. Most of this work assumes …
could substantially improve data center network performance. Most of this work assumes …
Stochastic configuration networks based adaptive storage replica management for power big data processing
In the power industry, processing business big data from geographically distributed
locations, such as online line-loss analysis, has emerged as an important application. How …
locations, such as online line-loss analysis, has emerged as an important application. How …
Adaptive scheduling parallel jobs with dynamic batching in spark streaming
Today enterprises have massive stream data that require to be processed in real time due to
data explosion in recent years. Spark Streaming as an emerging system is developed to …
data explosion in recent years. Spark Streaming as an emerging system is developed to …
Adaptive scheduling of parallel jobs in spark streaming
Streaming data analytics has become increasingly vital in many applications such as
dynamic content delivery (eg, advertisements), Twitter sentiment analysis, and security event …
dynamic content delivery (eg, advertisements), Twitter sentiment analysis, and security event …
Multi-resource load balancing for virtual network functions
Middleboxes are widely deployed to perform various network functions to ensure security
and improve performance. The recent trend of Network Function Virtualization (NFV) makes …
and improve performance. The recent trend of Network Function Virtualization (NFV) makes …
Achieving fine-grained flow management through hybrid rule placement in SDNs
Fine-grained flow management is useful in many practical applications, eg, resource
allocation, anomaly detection and traffic engineering. However, it is difficult to provide fine …
allocation, anomaly detection and traffic engineering. However, it is difficult to provide fine …
Meeting coflow deadlines in data center networks with policy-based selective completion
Recently, the abstraction of coflow is introduced to capture the collective data transmission
patterns among modern distributed data-parallel applications. During processing, coflows …
patterns among modern distributed data-parallel applications. During processing, coflows …
OPTAS: Decentralized flow monitoring and scheduling for tiny tasks
Task-aware flow schedulers collect task information across the data center to optimize task-
level performance. However, the majority of the tasks, which generate short flows and are …
level performance. However, the majority of the tasks, which generate short flows and are …
Joint reducer placement and coflow bandwidth scheduling for computing clusters
Reducing Coflow Completion Time (CCT) has a significant impact on application
performance in data-parallel frameworks. Most existing works assume that the endpoints of …
performance in data-parallel frameworks. Most existing works assume that the endpoints of …