Elasticity is a cloud property that enables applications and their execution systems to dynamically acquire and release shared computational resources on demand. Moreover, it unfolds the advantage of economies of scale in the cloud through a drop in the average costs of these shared resources. However, it is still an open challenge to achieve a perfect match between resource demand and provisio...

In Cloud environments, the relationship between resources and users is more ad hoc and dynamic. The role-based access control (RBAC) model is an appropriate access control model for Cloud environments. When using the RBAC model in Cloud environments, some new elements should be considered. This paper proposes a SAT-RBAC model (security and availability based trust relationship in RBAC) and adop...

Cloud computing is a new archetype that provides dynamic computing services to cloud users through the support of datacenters that employs the services of datacenter brokers which discover resources and assign them Virtually. The focus of this research is to efficiently optimize resource allocation in the cloud by exploiting the Max-Min scheduling algorithm and enhancing it to increase efficien...

Wireless Body Area Networks (WBANs) have developed as an effective solution for a wide range of healthcare, military and sports applications. Most of the proposed works studied efficient data collection from individual and traditional WBANs. Cloud computing is a new computing model that is continuously evolving and spreading. This paper presents a novel cloudlet-based efficient data collection ...

The rapid growth in demand for getting various services combined with dynamic and diverse nature of requests initiated in cloud environments have led to the establishment of huge data centers which consume a vast amount of energy. On the other hand, in order to attract more users in dynamic business cloud environments, providers have to provide high quality of service for their customers based ...

Cloud computing providers have setup several data centers at different geographical locations over the Internet in order to optimally serve needs of their customers around the world. However, existing systems do not support mechanisms and policies for dynamically coordinating load distribution among different Cloud-based data centers in order to determine optimal location for hosting applicatio...

The evolution of network technologies and their reliability on the one hand, and the spread of virtualization techniques on the other hand, have motivated the use of execution and storage resources allocated by distant providers. These resources may progress on demand. Cloud computing deals with such aspects. However, these resources are greedy in energy because they consume huge amounts of ele...

Cloud computing platforms have been extensively using scientific workflows to execute large-scale applications. However, multiobjective workflow scheduling with standards optimize QoS parameters is a challenging task. Various metaheuristic techniques proposed satisfy the like makespan, cost, and resource utilization. Still, traditional approaches are incompetent maintain agreeable equilibrium b...

Users worldwide can access utility-oriented computing services through cloud computing. It enables the pay-as-you-go model to host well-known consumer, educational, and business applications. However, data centers encounter significant issues in effectively managing resources, ensuring optimal performance, reducing energy usage as demand for is increasing rapidly. A possible strategy reduce con...

In recent years, due to the growing demand for computational resources, particularly in cloud computing systems, data centers’ energy consumption is continually increasing, which directly causes price rise and reductions of resources’ productivity. Although many energy-aware approaches attempt minimize energy, they cannot violation service-level agreements at same time. this paper, we propose a...