Load balancing via random local search in closed and open systems
@article{Ganesh2010LoadBV, title={Load balancing via random local search in closed and open systems}, author={Ayalvadi J. Ganesh and Sarah Lilienthal and D. Manjunath and Alexandre Prouti{\`e}re and Florian Simatos}, journal={ArXiv}, year={2010}, volume={abs/1002.4314} }
In this paper, we analyze the performance of random load resampling and migration strategies in parallel server systems. Clients initially attach to an arbitrary server, but may switch servers independently at random instants of time in an attempt to improve their service rate. This approach to load balancing contrasts with traditional approaches where clients make smart server selections upon arrival (e.g., Join-the-Shortest-Queue policy and variants thereof). Load resampling is particularly…
24 Citations
Distributed load balancing in heterogenous systems
- Computer Science2014 48th Annual Conference on Information Sciences and Systems (CISS)
- 2014
It is proved that when the user population grows large, pure NEs get closer to a Proportionally Fair (PF) allocation of users to servers, and the gap between equilibriums and this ideal allocation depending on user population is characterized.
Distributed Proportional Fair Load Balancing in Heterogenous Systems
- Computer ScienceSIGMETRICS
- 2015
In open systems, where users randomly enter the system and leave upon service completion, it is established that the RLS algorithm stabilizes the system whenever this it at all possible under centralized load balancing schemes, i.e., it is throughput-optimal.
FCD: Fast-concurrent-distributed load balancing under switching costs and imperfect observations
- Computer Science2013 Proceedings IEEE INFOCOM
- 2013
It is shown that the system reaches an c-Nash equilibrium in expected time O, which implies that the convergence rate is robust with large scale system(large user population), and is not affected by imperfect measurements of the server load.
Random Walk Based Sampling for Load Balancing in Multi-Server Systems
- Computer ScienceAbstracts of the 2019 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems
- 2019
This paper analyzes a variant of the power-of-d choices algorithm, where d servers are sampled through d independent non-backtracking random walks on a k-regular graph, and the stationary distribution of the system converges to the stationary solution of the ODE.
Derandomized Load Balancing using Random Walks on Expander Graphs
- Mathematics, Computer ScienceArXiv
- 2019
Under this scheme, the dynamics of the queuing system converges to the same deterministic ordinary differential equation (ODE) for the power-of-d choices scheme, and the stationary distribution of the system converging to the fixed point of the ODE.
Energy-aware capacity scaling in virtualized environments with performance guarantees
- Computer SciencePerform. Evaluation
- 2011
On the Asymptotic Insensitivity of the Supermarket Model in Processor Sharing Systems
- MathematicsProc. ACM Meas. Anal. Comput. Syst.
- 2021
This paper demonstrates that for this class of hyperexponential distributions of order 2 global attraction of the unique fixed point can still be established using monotonicity by picking a suitable state space and partial order and can be leveraged to prove asymptotic insensitivity within thisclass of distributions for other load balancing systems.
Randomized Work Stealing versus Sharing in Large-scale Systems with Non-exponential Job Sizes
- Computer ScienceIEEE/ACM Trans. Netw.
- 2019
The main insight is that work stealing benefits significantly from having more variable job sizes and work sharing may become inferior to work stealing for loads as small as $1/2 + \epsilon$ for any $\epssilon > 0$.
Heavy-Traffic Limits for a Many-Server Queueing Network with Switchover
- MathematicsAdvances in Applied Probability
- 2013
We study a multiclass Markovian queueing network with switchover across a set of many-server stations. New arrivals to each station follow a nonstationary Poisson process. Each job waiting in queue…
Tight Load Balancing Via Randomized Local Search
- Computer Science2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
- 2017
This analysis is based on the crucial observation that performing destructive moves (reversals of RLS moves) cannot decrease the balancing time, which allows us to simplify problem instances and to ignore “inconvenient moves” in the analysis.
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