Resource Scheduling Method Based on the Tenants' Requirements of QoS

2012 ◽  
Vol 546-547 ◽  
pp. 1158-1163
Author(s):  
Ting Wei Chen ◽  
Ji Hong Wu

Multi-tenancy technology in SaaS (Software as a Service), the basis of the shared resources on how to meet quality of service requirements of different tenants, is a major problem faced by the resource scheduling. Solve the problem, proposed a resource scheduling method based on the tenants' requirements of QoS: resources classified by types of resources QoS value of the keywords the two indexes to the formation of the three resource pool structure, in order to improve the speed of resource scheduling; division of tenants rating to determine the order of execution of the request, types of resources required, the division of tenants request for the sub-request, according to the sub-requested quality of service levels ,respectively, using different resource scheduling strategy, the isolation of different quality of service requirements of tenants. The experiments show that the method can achieve the tenants' quality of service requirements, and has a higher efficiency.

2016 ◽  
Vol 4 (3) ◽  
pp. 3-6 ◽  
Author(s):  
Shoumen Palit Austin Datta

Digital diffusion in healthcare is poised to usher delivery of care in integration with software as a service to the edge. Time compression due to the latter may catalyze the convergence between "sense and response" in a manner which may enhance quality of service (QoS) or quality of care at the point of contact (PoC). Digital transformation is likely to influence the broad spectrum of instances ranging from high acuity patients to preventive care scenarios. Access to healthcare for individuals before they become patients may eventually lead to improved health and reduced healthcare cost.


2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Zhijia Chen ◽  
Yuanchang Zhu ◽  
Yanqiang Di ◽  
Shaochong Feng

The resources in cloud environment have features such as large-scale, diversity, and heterogeneity. Moreover, the user requirements for cloud computing resources are commonly characterized by uncertainty and imprecision. Hereby, to improve the quality of cloud computing service, not merely should the traditional standards such as cost and bandwidth be satisfied, but also particular emphasis should be laid on some extended standards such as system friendliness. This paper proposes a dynamic resource scheduling method based on fuzzy control theory. Firstly, the resource requirements prediction model is established. Then the relationships between resource availability and the resource requirements are concluded. Afterwards fuzzy control theory is adopted to realize a friendly match between user needs and resources availability. Results show that this approach improves the resources scheduling efficiency and the quality of service (QoS) of cloud computing.


2003 ◽  
Vol 13 (04) ◽  
pp. 537-548 ◽  
Author(s):  
RICHARD LAWLEY ◽  
MICHAEL LUCK ◽  
KEITH DECKER ◽  
TERRY PAYNE ◽  
LUC MOREAU

Notification services mediate between information publishers and consumers that wish to subscribe to periodic updates. In many cases, however, there is a mismatch between the dissemination of these updates and the delivery preferences of the consumer, often in terms of frequency of delivery, quality, etc. In this paper, we present an automated negotiation engine that identifies mutually acceptable terms; we study its performance, and discuss its application to a Grid notification service. We also demonstrate how the negotiation engine enables users to control the Quality of Service levels they require.


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