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Nov 7, 2018 · A service cloud could improve its QoS (Quality of Service) by partitioning jobs into multiple tasks and processing those tasks in parallel.
A novel differentiated DOP policy is described, which divides jobs into several groups identified by jobs' service time and sets proper DOPs for different ...
Published in Lecture Notes in Computer Science by Springer International Publishing. 2018 p560-575. Archived Files and Locations. application/pdf 652.6 kB
Nov 12, 2018 · A service cloud could improve its QoS (Quality of Service) by partitioning jobs into multiple tasks and processing those tasks in parallel.
We formulate a stochastic scheduling framework that incorporates a probabilistic constraint upon the makespans of BoT applications.
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In this paper, we propose a new scheme, termed as QoPS to provide Quality of Service (QoS) in the response time given to the end user in the form of guarantees ...
Works (4) · Performance analysis of parallel composite service-based applications in clouds · QoS Optimization of Service Clouds Serving Pleasingly Parallel Jobs.
A service cloud could improve its QoS (Quality of Service) by partitioning jobs into multiple tasks and processing those tasks in parallel. In contrast to ...
This paper proposes an approximate analytical model that can guide cloud operators to determine a proper setting, such as the number of servers, ...
X. Li, et al., QoS Optimization of Service Clouds Serving Pleasingly Parallel Jobs, in: Proc. Int. Conf. Service-Oriented Computing (ICSOC), Hangzhou, Zhejiang, ...