Theoretical Analysis and Tuning of Decentralized Probabilistic Auto-Scaling

Autor:	Caprarescu, Bogdan Alexandru, Kaslik, Eva, Petcu, Dana
Rok vydání:	2012
Předmět:	Computer Science - Distributed Parallel and Cluster Computing
Druh dokumentu:	Working Paper
Popis:	A major impediment towards the industrial adoption of decentralized distributed systems comes from the difficulty to theoretically prove that these systems exhibit the required behavior. In this paper, we use probability theory to analyze a decentralized auto-scaling algorithm in which each node probabilistically decides to scale in or out. We prove that, in the context of dynamic workloads, the average load of the system is maintained within a variation interval with a given probability, provided that the number of nodes and the variation interval length are higher than certain bounds. The paper also proposes numerical algorithms for approximating these minimum bounds. Comment: Submitted to Journal of Computer and System Sciences
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1202.2981 Zobrazit plný text záznamu View this record from Arxiv