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Memorias de investigación
Communications at congresses:
Dianfu Ma: A multi-resource load balancing algorithm for cloud cache systems.
Year:2013
Research Areas
  • Information technology and adata processing
Information
Abstract
With the advent of cloud computing model, distributed caches have become the cornerstone for building scalable applications. Popular systems like Facebook [1] or Twitter use Memcached [5], a highly scalable distributed object cache, to speed up applications by avoiding database accesses. Distributed object caches assign objects to cache instances based on a hashing function, and objects are not moved from a cache instance to another unless more instances are added to the cache and objects are redistributed. This may lead to situations where some cache instances are overloaded when some of the objects they store are frequently accessed, while other cache instances are less frequently used. In this paper we propose a multi-resource load balancing algorithm for distributed cache systems. The algorithm aims at balancing both CPU and Memory resources among cache instances by redistributing stored data. Considering the possible conflict of balancing multiple resources at the same time, we give CPU and Memory resources weighted priorities based on the runtime load distributions. A scarcer resource is given a higher weight than a less scarce resource when load balancing. The system imbalance degree is evaluated based on monitoring information, and the utility load of a node, a unit for resource consumption. Besides, since continuous rebalance of the system may affect the QoS of applications utilizing the cache system, our data selection policy ensures that each data migration minimizes the system imbalance degree and hence, the total reconfiguration cost can be minimized. An extensive simulation is conducted to compare our policy with other policies. Our policy shows a significant improvement in time efficiency and decrease in reconfiguration cost.
International
Si
Congress
28th Symposium on Applied Computing (SAC¿13).
960
Place
Coimbra (Portugal)
Reviewers
Si
ISBN/ISSN
978-1-4503-1656-9
Start Date
18/03/2013
End Date
22/03/2013
From page
463
To page
470
SAC '13 Proceedings of the 28th Annual ACM Symposium on Applied Computing
Participants
  • Autor: Yu Jia
  • Autor: Ivan Brondino (UPM)
  • Autor: Ricardo Jimenez Peris (UPM)
  • Autor: Marta Patiño Martinez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Laboratorio de sistemas distribuidos (LSD)
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