Load Balancing for Improved Quality of Service in the Cloud

Abstract

Due to the advancement in technology and the growth of human society, it is necessary to work in an environment that reduces costs, resource-efficient, reduces man power and minimizes the use of space. This led to the emergence of cloud computing technology. Load balancing is one of the central issues in the cloud, it is the process of distributing the load and optimally balanced between different servers. ; Balanced load in the Cloud improves the performance of the QoS parameters such as resource utilization, response time, processing time, scalability, throughput, system stability and power consumption. Research in this area has led to the development of algorithms called load balancing algorithms. In this paper, we present the performance analysis of different load balancing algorithms based on different metrics such like response time, processing time, etc.... The main purpose of this article is to help us to propose a new algorithm by studying the behavior of the various existing algorithms.

Authors and Affiliations

AMAL ZAOUCH, FAOUZIA BENABBOU

Keywords

Related Articles

Ontology Learning from Relational Databases: Transforming Recursive Relationships to OWL2 Components

Relational databases (RDB) are widely used as a backend for information systems, and contain interesting structured data (schema and data). In the case of ontology learning, RDB can be used as knowledge source. Multiple...

Antennas of Circular Waveguides

The design of the circular waveguide antenna is proposed for displacement reflector antennas. For them, we use the frequencies of operation so that our waveguide generates the mode, (Transversal Electric), resulting in a...

Performance Evaluation of Content Based Image Retrieval on Feature Optimization and Selection Using Swarm Intelligence

The diversity and applicability of swarm intelligence is increasing everyday in the fields of science and engineering. Swarm intelligence gives the features of the dynamic features optimization concept. We have used swar...

Resistance to Statistical Attacks of Parastrophic Quasigroup Transformation

The resistance to statistical kind of attacks of encrypted messages is a very important property for designing cryptographic primitives. In this paper, the parastrophic quasigroup PE-transformation, proposed elsewhere, i...

Backstepping Control of Induction Motor Fed by Five-Level NPC Inverter

In this paper we will present a contribution to the backstepping control for induction motor (IM) based on the principle of Field Orientated Control (FOC). This law is established step by step while ensuring the stabilit...

Download PDF file
  • EP ID EP127545
  • DOI 10.14569/IJACSA.2015.060724
  • Views 105
  • Downloads 0

How To Cite

AMAL ZAOUCH, FAOUZIA BENABBOU (2015). Load Balancing for Improved Quality of Service in the Cloud. International Journal of Advanced Computer Science & Applications, 6(7), 184-189. https://europub.co.uk./articles/-A-127545