• Ms. Rachna Pandey
• Prof.(Dr.) R.K.Bathla

The expression cloud moves toward from the symbol used to represent internet or network. It is ahead lot of popularity as it provides low-cost access to high computing resources and extremely large storage spaces with high level security. Cloud computing refers to many dissimilar types of services and applications being delivered over the internet cloud. Cloud computing provides a well-organized and reasonably priced means of providing platforms such as IaaS (Infrastructure as a service), SaaS (Software as a service), PaaS (Platform as a service) and much more to the service requesters. A large number of commercial applications are available that provide wide range of services over cloud. Increased and fast access to internet has also led to a boom in this sector. Different services are put within the virtualized resources of a cloud, enabling it to carry out abstractions of its underlying resources. Cloud computing environment provides virtualized resources to applications dynamically. These resources are costly and often impossible for users to own them privately. Users are charged on a pay-per-use basis for these resources on cloud environment. Setting up of tasks in cloud environment is a key research area. The problem involves allocation of almost infinite number of tasks on cloud resources that cannot be solved in polynomial time and hence is considered to be a NP-hard problem. The solution provided to close to optimal as no algorithm exists that provides optimal solution in finite time. There are no algorithms which may produce optimal solution within polynomial time to solve these problems. The idea of task scheduling in cloud environment is to optimize the execution time so that the cost paid by the user is minimal. Task scheduling is the process of distributing workloads across multiple computing resources. Load balancing is an optimization problem and goal of any optimization is to either minimize effort or to maximize benefit. The effort or the benefit can be usually expressed as a function of certain design variables. Hence, optimization is the process of finding the conditions that give the maximum or the minimum value of a function. Load balancing is a problem where you try to minimize value of parameters like Makespan time, Response Time, etc. and increase the utilization of cloud resources.

Cloud Computing, Algorithm, Load balancing, IAAS.

"An Algorithmic Study of Cloud Computing for Resource Optimization Based On Virtual Machines", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 8, page no.d905-d930, August-2024, Available :http://www.jetir.org/papers/JETIR2408399.pdf

"An Algorithmic Study of Cloud Computing for Resource Optimization Based On Virtual Machines", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 8, page no. ppd905-d930, August-2024, Available at : http://www.jetir.org/papers/JETIR2408399.pdf