Long Term Evolution (LTE) is the next generation wireless communication network with fast connectivity and high mobility to support variety of applications like video conferencing, video streaming, file transfer, web browsing etc. LTE system effectively utilizes the resources by dynamically scheduling the users in both frequency and time domain. However, scheduling algorithms are not defined in...

Scheduling is one of important methods in maximizing data rate and fairness among multiple users. It is very evident that communication system has less number of radio resources in comparison to high number of users. Scheduling method provides best way to allocate minimum resources to maximum users with satisfying all possible communication requirements. The paper discusses a bell curve based r...

We address the problem of fair assignment of base station locations in a cellular network. We use the generalized α-fairness criterion, which encompasses the different notions of fairness: that of global, proportional, harmonic or max-min fairness in our study. We derive explicit expression for α-fair BS locations under ’large population’ limits in the case of simple 1D models. We show analytic...

The IEEE 802.16 standard is supposed to provide a wide-range broadband wireless service, but it leaves the implementation of the wireless resource scheduler as an open issue. We have studied the scheduling problem and propose a two level scheduling (TLS) scheme with support for quality of service and fairness guarantees for downlink traffic in a WiMAX network. A central controller Base Station ...

In most data centers, terabytes of storage are commonly shared among tens to hundreds of hosts for universal access and economies of scaling. Despite much prior research, most storage arrays do not provide useful mechanisms to provide Quality of service (QoS) guarantees to applications. Storage administrators are often forced to isolate workloads using expensive storage provisioing. We believe ...

Grid Computing has emerged as an important new field focusing on resource sharing. One of the most challenging issues in Grid Computing is efficient scheduling of tasks. In this paper, we propose a new algorithm for fair scheduling, and we compare it to other scheduling schemes such as the First Come First Served and the Round Robin schemes for a computational grid. It aims at addressing the fa...

We consider in this paper downlink scheduling for different traffic classes at the MAC layer of wireless systems based on orthogonal frequency division multiple access (OFDMA), such as the recent 3rd Generation Partnership Project (3GPP) long-term evolution (LTE)/LTE-A wireless standard. Our goal is to provide via the scheduling decisions quality of service (QoS), but also to guarantee fairness...

Balancing fairness and efficiency in resource allocation is a classical economic and computational problem. The price of fairness measures the worst-case loss of economic efficiency when using an inefficient but fair allocation rule; for indivisible goods in many settings, this price is unacceptably high. One such setting is kidney exchange, where needy patients swap willing but incompatible ki...

With increasingly mature virtual machine (VM) technology, the compute resources provided by Cloud systems can be divided or isolated on demand under a payment model. By leveraging such a feature, we design and implement a cloud system that can optimize the overall performance of processing user requests which are made up of composite services. Specifically, we aim to minimize the response time ...

In recent years, the eyes of scholars has been on the road to an proficient allocation scheme of signalling dimension between users in both uplink and downlink channels, since bandwidth is usually limited and/or very expensive. This paper covenants with the rate adaptive MIMO-OFDMA (Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing) downlink resource allocation scheme. I...