On runtime management in multi-core packet processing systems

Wu, Qiang; Wolf, Tilman

doi:10.1145/1477942.1477953

Cited by 28 publications

(20 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Zane et al [52] and Kaxiras et al [36] propose power efficient TCAM structures to be used in packet processors. Wu et al [51] investigate a runtime management system for NPs to exploit variability in network traffic for efficient allocation of processing tasks to processing cores. The system is able to adapt to varying demands of traffic and balance utilization of all resources to maximize throughput.…”

Section: Related Workmentioning

confidence: 99%

Efficient traffic aware power management in multicore communications processors

Iqbal

John

2012

Proceedings of the Eighth ACM/IEEE Symposium on Architectures for Networking and Communications Systems

View full text Add to dashboard Cite

Multicore communications processors have become the main computing element in Internet routers and mobile base stations due to their flexibility and high processing capability. These processors are designed and equipped with enough resources to handle peak traffic loads. But network traffic varies significantly over time and peak traffic is observed very rarely. This variation in amount of traffic gives us an opportunity to save power during the low traffic times. Existing power management schemes are either too conservative or are unaware of traffic demands. We present a predictive power management scheme for communications or network processors. We use a traffic and load predictor to pro-actively change the number of active cores. Predictive power management provides more power efficiency than reactive schemes because it reduces the lag between load changes and changes in power adaptations since adaptations can be applied before the load changes. The proposed scheme also uses Dynamic Voltage and Frequency Scaling (DVFS) to change the frequency of the active cores to adapt to variation in traffic during the prediction interval. We perform experiments on real network traces and show that the proposed traffic aware scheme can save up to 40% more power in communications processors as compared to traditional power management schemes.

show abstract

Section: Related Workmentioning

confidence: 99%

Efficient traffic aware power management in multicore communications processors

Iqbal

John

2012

Proceedings of the Eighth ACM/IEEE Symposium on Architectures for Networking and Communications Systems

View full text Add to dashboard Cite

show abstract

“…To derive an optimal allocation of tasks to processing resources at runtime, these factors have to be quantified and considered in the mapping process (Wu and Wolf, 2008). Weng and Wolf (2009) presented the analytic performance model that could be applied for understanding tradeoffs in the network processor design space to determine suitable network processor topologies and multithreading configurations.…”

Section: Open Mp: the Openmp Application Programmentioning

confidence: 99%

Effective Utilization of Multicore Processor for Unified Threat Management Functions

Gummadi¹

2012

Journal of Computer Science

View full text Add to dashboard Cite

Problem statement: Multicore and multithreaded CPUs have become the new approach for increase in the performance of the processor based systems. Numerous applications benefit from use of multiple cores. Unified threat management is one such application that has multiple functions to be implemented at high speeds. Increasing performance of the system by knowing the nature of the functionality and effective utilization of multiple processors for each of the functions warrants detailed experimentation. In this study, some of the functions of Unified Threat Management were implemented using multiple processors for each of the functions. Approach: This evaluation was conducted on SunfireT1000 server having Sun UltraSPARC T1 multicore processor. OpenMP parallelization methods were used for scheduling the logical CPUs for the parallelized application. Results: Execution time for some of the UTM functions implemented was analyzed to arrive at an effective allocation and parallelization methodology that is dependent on the hardware and the workload. Conclusion/Recommendations: Based on the analysis, the type of parallelization method for the implemented UTM functions are suggested.

show abstract

“…In order to derive an optimal allocation of tasks to processing resources at runtime, both factors need to be quantified and considered in the mapping process (Wu and Wolf, 2008a). Weng and Wolf (2009) presented the analytic performance model that could be applied for understanding tradeoffs in the Network Processor design space to determine suitable network processor topologies and multithreading configurations.…”

Section: Openmp: the Openmp™ Application Programmentioning

confidence: 99%

Dynamic Allocation of CPUs in Multicore Processor for Performance Improvement in Network Security Applications

Gummadi¹

2011

Journal of Computer Science

View full text Add to dashboard Cite

Problem statement: Multicore and multithreaded CPUs have become the new approach for increase in the performance of the processor based systems. Numerous applications benefit from use of multiple cores. Increasing performance of the system by increasing the number of CPUs of the multicore processor for a given application warrants detailed experimentation. In this study, the results of the experimentation done by dynamic allocation/deallocation of the CPU based on the workload conditions for the packet processing for security application are analyzed and presented. Approach: This evaluation was conducted on SunfireT1000 server having Sun UltraSPARC T1 multicore processor. OpenMP tasking feature is used for scheduling the logical CPUs for the parallelized application. Dynamic allocation of a CPU to a process is done depending on the workload characterization. Results: Execution time for packet processing was analyzed to arrive at an effective dynamic allocation methodology that is dependant on the hardware and the workload. Conclusion/Recommendations: Based on the analysis, the methodology and the allocation of the number of CPUs for the parallelized application are suggested.

show abstract

On runtime management in multi-core packet processing systems

Cited by 28 publications

References 19 publications

Efficient traffic aware power management in multicore communications processors

Efficient traffic aware power management in multicore communications processors

Effective Utilization of Multicore Processor for Unified Threat Management Functions

Dynamic Allocation of CPUs in Multicore Processor for Performance Improvement in Network Security Applications

Contact Info

Product

Resources

About