DocumentCode :
242976
Title :
Application workload pattern and its implications for resource provisioning in cloud: An early experience
Author :
Hubballi, Neminath ; Suryanarayanan, Vinoth
Author_Institution :
Discipline of Comput. Sci. & Eng., Indian Inst. of Technol. Indore, Indore, India
fYear :
2014
fDate :
22-25 Oct. 2014
Firstpage :
1
Lastpage :
6
Abstract :
Cloud computing is a flexible computing model where resources are allocated and deal located dynamically. The dynamic nature of allocating resources provide scope for optimizing the resources utilization. However the key challenge is to optimize the resource utilization without impacting the applications. In this context we argue that knowing the usage (behavior) of applications is important and using this information we can predict the future requirements of resources and plan the capacity accordingly. In this paper we describe our experiences with production level cloud applications and their usage pattern discovered through a clustering algorithm. Our technique is a completely automated technique for usage pattern discovery. We also share preliminary results on how these usage patterns can be related to resource utilization and help in planning resource allocation.
Keywords :
cloud computing; pattern clustering; resource allocation; application workload pattern; cloud computing; clustering algorithm; resource allocation; resource provisioning; resource utilization; Capacity planning; Clustering algorithms; Data mining; Equations; Resource management; Vectors; Virtual machining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2014 - 2014 IEEE Region 10 Conference
Conference_Location :
Bangkok
ISSN :
2159-3442
Print_ISBN :
978-1-4799-4076-9
Type :
conf
DOI :
10.1109/TENCON.2014.7022323
Filename :
7022323
Link To Document :
بازگشت