Title :
System Performance in Cloud Services: Stability and Resource Allocation
Author :
Kiruthika, Jay ; Khaddaj, Souheil
Author_Institution :
Kingston Univ., Kingston upon Thames, UK
Abstract :
Resources are allocated to web applications in large scale traditional servers depending on various factors like internal architecture, software support, hardware etc., resulting in under or over utilization of the resources. Valuable resources are allocated for the future continual business improvement which may or may not be utilized resulting in wastage. On the other hand cloud systems provide resources as needed, thereby maximizing resource utilization. Using cloud services increases productivity as it saves valuable time, cost and is portable in tablets and mobiles which are highly desirable for web businesses. These factors contribute to a high demand for system stability in cloud systems unlike other systems. Due to this dynamic internal cloud architecture, resource management has become a complex process. As a cloud service provider takes control of data and services, the resources can be allocated as a pay as you go service, forging resource management to fine tune the methods adopted to allocate them. This paper focuses on using one such method to allocate resources.
Keywords :
Web services; cloud computing; resource allocation; Web applications; cloud services; dynamic internal cloud architecture; forging resource management; hand cloud systems; resource allocation; resource management; system performance; Cloud computing; Dynamic scheduling; Mathematical model; Resource management; Stability criteria; Cloud Computing; Resource allocation; Resource management in cloud services; web cloud service allocation;
Conference_Titel :
Distributed Computing and Applications to Business, Engineering & Science (DCABES), 2013 12th International Symposium on
Conference_Location :
Kingston upon Thames, Surrey, UK
DOI :
10.1109/DCABES.2013.30