INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME 4, ISSUE 10, OCTOBER 2015 ISSN 2277-8616 353 IJSTR©2015 www.ijstr.org _______________________________  Nadeem Shah is currently pursuing the post graduate diploma program in information technology in the School of Science and Technology at The University of Fiji.  Mohammed Farik is a Lecturer in Information Technology in the School of Science and Technology at The University of Fiji.  Email: mohammedf@unifiji.ac.fj Static Load Balancing Algorithms In Cloud Computing: Challenges & Solutions Nadeem Shah, Mohammed Farik Abstract: Cloud computing provides on-demand hosted computing resources and services over the Internet on a pay-per-use basis. It is currently becoming the favored method of communication and computation over scalable networks due to numerous attractive attributes such as high availability, scalability, fault tolerance, simplicity of management and low cost of ownership. Due to the huge demand of cloud computing, efficient load balancing becomes critical to ensure that computational tasks are evenly distributed across servers to prevent bottlenecks. The aim of this review paper is to understand the current challenges in cloud computing, primarily in cloud load balancing using static algorithms and finding gaps to bridge for more efficient static cloud load balancing in the future. We believe the ideas suggested as new solution will allow researchers to redesign better algorithms for better functionalities and improved user experiences in simple cloud systems. This could assist small businesses that cannot afford infrastructure that supports complex & dynamic load balancing algorithms. Index Terms: Cloud Computing, Load Balancing, Static Load Balancing Algorithms ———————————————————— 1 INTRODUCTION CLOUD computing is a technology that hosts computing services in centralized datacenters and provides access to them through the Internet. According to Katyal & Mishra [1], the cloud is a pool of heterogeneous resources. Cloud computing is very much a utility, like electricity: sold on demand, instantly scalable to any volume, and charged by use, with the service provider managing every aspect of the service except the device used to access it [2]. Cloud load balancing refers to distributing client requests across multiple application servers that are running in a cloud environment [3]. Fig. 1 illustrates a basic cloud load balancing scenario. In this paper, we have identified the existing static algorithms used for simple cloud load balancing and have suggested a hybrid algorithm for developments in the future. Fig.1 An example of Cloud Load Balancing [4] In section 2 of this paper, we provide an overview of related work in terms issues and goals in load balancing, in section 3, we classify load balancing algorithms, and in section 4, we discuss the strengths and weaknesses of existing static load balancing algorithms. Furthermore, in section 5, we suggest a possible new solution to bridge the gaps in static load balancing algorithms, and conclude in section 6. 2 LOAD BALANCING IN THE CLOUD In a cloud-based environment, where request for services and platforms can arrive at variable time periods, it is necessary to balance the load on the servers [5]. Load is a measure of the amount of computational work that a system performs. The different types of load are CPU Load (the sum of number of processes that are currently running and the number that are waiting to run), amount of memory used and the network delay load (the time it takes for a bit of data to travel across the network from one node to another). Load balancing is thus one of the key issues in the realm of cloud computing. Load balancing is also a process of distributing processing and communication activities evenly across a computational