<p>In this ever-developing technological world, one way to manage and deliver services is through cloud computing, a massive web of heterogenous autonomous systems that comprise adaptable computational design. Cloud computing can be improved task scheduling, albeit it being the most challenging aspect improved. Better scheduling improve response time, reduce power consumption processing e...

The cloud is the framework in which communication connected with virtual machines, data centers, hosts, and brokers. broker searches for a highly reliable cloudlet machine execution. Vulnerability can occur network because of gets overburden. A research strategy introduced this article to expand fault tolerance framework. proposed approach improvement depends on algorithm ant colony optimizatio...

Objectives: Modern data centers serving web and mobile applications employ distributed load balancers. The Join Idle Queue (JIQ) algorithm is ideally suited for balancing in a setup. It attains fast response time by directing service requests to idle servers which can immediately process them. However, JIQ not optimal tracking leaving room improvement.
 Methods: We observed that assigns no...

Cloud computing is an optimistic technology that leverages the resources to offer globally better and more efficient services than collection of individual use internet resources. Due heterogeneous high dynamic nature resources, failure during resource allocation a key risk in cloud. Such failures lead delay tasks execution have adverse impacts achieving quality service (QoS). This paper propos...

In cloud computing, load balancing among the resources is required to schedule a task, which key challenge. This paper proposes dynamic degree memory balanced allocation (D2MBA) algorithm allocate virtual machine (VM) best suitable host, based on availability of random-access (RAM) and microprocessor without interlocked pipelined stages (MIPS) host task VM by considering condition VM. The propo...

The internet of medical things (IoMT) empowers patients to get adaptable, and virtualized gear over the internet. Task scheduling is most fundamental problem in IoMT-cloud since cloud execution commonly relies on it. Thus, a proposition being made for distinct technique suitably meet these solicitations. To manage issue, an artificial intelligence (AI) method known as hybrid genetic algorithm (...

The increasing number of publications towards cloud computing proves that much research and development has been done, especially for task scheduling. Organizations are eager to get more customized technology run the most smoothly in provision visual services fruity users. As circumstances Covid indicate everyone should digitally, workload on machines increased. For solutions, organizations try...

Task scheduling in highly elastic and dynamic processing environments such as cloud computing have become the most discussed problem among researchers. algorithms are responsible for allocation of tasks resources their execution, an inefficient task algorithm results under-or over-utilization resources, which turn leads to degradation services. Therefore, proposed work, load balancing is consid...

Abstract— Data grids are an important branch of gird computing which provide mechanisms for the management of large volumes of distributed data. Energy efficiency has recently emerged as a hot topic in large distributed systems. The development of computing systems is traditionally focused on performance improvements driven by the demand of client's applications in scientific and business domai...