Cloud computing is the next generation of technology which unifies everything into one. It is an on demand service because it offers dynamic flexible resource allocation for reliable and guaranteed services in pay as-you-use manner to public. In Cloud computing multiple cloud users can request number of cloud services simultaneously. So there must be a provision that all resources are made avai...

In this paper, we propose a method for the extra resource allocation problem based on data envelopment analysis (DEA). Suppose there are some extra resource such as bonus or material benefits, which can be given to all or only a part of decision making units (DMUs), and if we want the allocation to be most beneficial to the whole system, how the extra resource should be distributed. Since the s...

Mobile cloud computing (MCC) allows mobile devices to source their computing, storage and alternative tasks onto the cloud to realize a lot of capacities and better performance. one in all the foremost important analysis problems is however the cloud will expeditiously handle the attainable overwhelming requests from mobile users once the cloud resource is proscribed. during this paper, a uniqu...

Costs of reproduction due to resource allocation trade-offs have long been recognized as key forces in life history evolution, but little is known about their functional or genetic basis. Arabidopsis lyrata, a perennial relative of the annual model plant A. thaliana with a wide climatic distribution, has populations that are strongly diverged in resource allocation. In this study, we evaluated ...

Cloud computing is an attractive computing model since it allows for the provision of resources on-demand. Such a process of allocation and reallocation of resources is thekey to accommodating unpredictable demands and improving the return on investment from the infrastructure supporting the Cloud. Cloud computing booming area and emerging trends in information communication technology domain. ...

Resource Co-Allocation is basically used to execute multiple site jobs in a large scale computing environments with secure, faultless and in transparent manner. To be precise we are actually allocating multiple resources for different jobs taking into account the time parameter. Here we make use of the Scheduling queue and Resource Co-Allocation to reduce the Turn-around time with an advanced c...

In this work, we consider the problem of resource allocation in multi-class networks, where users specify the value they attach to obtaining different amounts of resource by means of a utility function. We develop a resource allocation scheme that maximizes the average aggregate utility per unit time. We formulate this resource allocation problem as a Markov decision process. We present numeric...