STAR: SLA-Aware Autonomic Management of Cloud Resources

0
186
STAR: SLA-aware Autonomic Management of Cloud Resources

STAR: SLA-Aware Autonomic Management of Cloud Resources

Abstract

Recently, cloud computing has emerged as an important service to manage applications efficiently over the Internet. STAR: SLA-aware Autonomic Management of Cloud Resources Various cloud providers offer pay-per-use cloud services that require Quality of Service (QoS) management to monitor and measure delivered services efficiently through Internet of Things (IoT) and therefore need to follow Service Level Agreements (SLAs). However, providing dedicated cloud services that ensure the dynamic QoS requirements of the user by avoiding SLA violations is a major challenge in cloud computing.
STAR: SLA-aware Autonomic Management of Cloud Resources As dynamism, heterogeneity, and complexity of the cloud environment are increasing rapidly, it makes cloud systems insecure and unmanageable. Cloud systems require self-management of services to overcome these problems. Therefore, there is a need to develop a resource management technique that manages cloud users ‘ QoS requirements automatically, thus helping cloud providers achieve SLAs and avoid SLA violations.

System Configuration

H/W System Configuration
Speed                   : 1.1 GHz
RAM                      : 256 MB(min)
Hard Disk              : 20 GB
Floppy Drive          : 1.44 MB
Key Board             : Standard Windows Keyboard
Mouse                  : Two or Three Button Mouse
Monitor                : SVGA
S/W System Configuration

Platform                     :  cloud computing

Operating system       : Windows Xp,7,
Server                       : WAMP/Apache
Working on                : Browser Like Firefox, IE

Conclusion

In this paper, cloud-based autonomic resource management technique (STAR) based on SLA-aware has been proposed to carry out heterogeneous workloads by considering self-management generic property. STAR’s main goal is to reduce the rate of SLA violation and improve user satisfaction by meeting their QoS requirements. In addition, STAR considered different QoS parameters such as execution time, cost, latency, reliability, and availability to analyze the impact of QoS parameters on SLA violation rate.