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In this paper, a playout buffer and DRX aware scheduling scheme(PBDAS) is proposed to improve the user experience of the video streaming over the DRX enabled LTE systems. By considering the UE playout buffer level and the DRX cycle length, we define the remaining playout time, which can effectively indicate the UEs' urgency. Based on their urgency, the UEs are assigned with different forms of scheduling...
In this paper, we study the problem of optimizing the error generated in the allocation of processing elements to tasks, based on real-time scheduling. The makespan of the tasks to be scheduled is the same, in the computational grid. Tasks to be assigned to processing elements are randomly generated and are mapped to processors. Scheduling is done, considering real-time environment and mapping is...
Energy reduction is very important nowadays. A large percentage of the workload submitted to large-scale systems is bag-of-tasks (BoT) applications. Each BoT is a collection of independent tasks that do not communicate with each other. They are used in astronomy, Monte Carlo simulations, data mining, fractal calculations, image processing and massive searches. Due to their importance, BoT scheduling...
The conventional task models include periodic tasks, aperiodic tasks and sporadic tasks. A task model named rhythmic task is required for Cyber Physical Systems (CPS). Here, a Smart Energy Management System (SEMS) in a house, which monitors and controls the electrical appliances based on their power demand, has been considered as the CPS. The temperature control of air conditioner, which has high...
Intercloud systems have emerged as next logical step in the evolution of cloud computing overcoming issues of data/vendor lock-in and dealing with volatile resource requests. However, resource discovery in this heterogeneous environment remains a challenge. In this paper we present a two phase chord-based peer-to-peer distributed resource discovery mechanism based on spatial-awareness of cloud data-centers...
Risk mitigation is essential for risk management because it aims to reduce or eliminate risks. A good risk mitigation strategy aims to make the best use of resources and reduces the project risk as much as possible. A meaningful strategy should at least have a higher performance than a "Random strategy". In this paper, we (1) propose a new scheduling strategy, "Greedy strategy",...
We study the problem of designing downlink scheduling policy for wireless networks with both real-time and non-real-time flows. Most existing scheduling policies for these networks unfairly favor one type of flows. As a result, strategic clients may lie about their types of traffic in order to get more service from the base station. To counter these strategic behaviors, a scheduling policy should...
This study aims to present the effectiveness evaluation of job-shop scheduling based on TOC concept under demand variation using simulation technique. Two schedule performance measurements under uncertainty, schedule robustness and performance, are used in comparing the performance of schedule based on TOC and traditional method (minimizing Cmax). Simulation test scenarios are carried out by applying...
A computational grid is a hardware and software infrastructure that provides consistent, dependable, pervasive and expensive access to high-end computational capabilities in a multi-institutional virtual organization. Computational grids provide computing power needed for execution of tasks. Scheduling the task in computing grid is an important problem. To select and assign the best resources for...
In Amman, the capital city of Jordan, the transportation system is very poor and lacks organization. The only available transportation is busses and taxis. Busses do not follow time schedules and do not have designated bus stops, while taxis are available in large numbers and are more flexible than busses. This results in a high demand on taxis by customers, but unfortunately, there are no taxi parkings,...
Virtual CPU (VCPU) scheduling algorithms that efficiently manage processing-resource at the machine virtualization layer are key to facilitate resource sharing and workload consolidation in Clouds. Such algorithms are mostly inherited from pre-virtualization designs, thus need to be revamped and re-evaluated. This paper presents a simulation framework based on SAN model to rapidly evaluate Virtual...
In wireless sensor networks, in-network data aggregation filters out redundant sensor readings in order to reduce the energy and bandwidth consumed in disseminating the data to the base-station. In this paper, we investigate the problem of reliable collection of aggregated data with minimal latency. The aim is to form an aggregation tree such that there are k disjoint paths from each node to the base-station...
In the encoding of Luby transform (LT) codes, information bits (variable nodes) are randomly connected to the check nodes. Although the check-node degrees have been optimized for error-rate performance, the arbitrary connections in the code graph cannot guarantee efficient propagation of the channel information (intrinsic messages), and may slow down the convergence speed of the iterative decoding...
Convergecast is a fundamental operation in wireless sensor networks. This paper uses ZigBee tree-based, beacon-enabled networks to support convergecast. In the network, ZigBee routers form a tree backbone and ZigBee end devices connect to routers. Some previous works have discussed to use ZigBee tree networks to support regular data reporting. In this work, we further consider the event data reporting...
Recently, cognitive pilot channel (CPC) has been proposed to assist spectrum awareness and network selection in the heterogeneous network and dynamic spectrum access mechanism. The CPC channel can provide the necessary wireless environment information for the terminals and avoid long time- and energy-consumption for spectrum scanning. In previous researches, two different CPC information delivery...
Ground station scheduling problem arises in spacecraft operations and aims to allocate ground stations to spacecraft to make possible the communication between operations teams and spacecraft systems. This problem consists in computing an optimal planning of communications between satellites or spacecraft (SC) and operations teams of Ground Station (GS). The information transmitted in these communications...
Cloud offerings are increasingly serving workloads with a large variability in terms of compute, storage and networking resources. Computing requirements (all the way to High Performance Computing or HPC), criticality, communication intensity, memory requirements, and scale can vary widely. Virtual Machine (VM) placement and consolidation for effective utilization of a common pool of resources for...
Virtual machine(VM) migration usually requires a considerable amount of system resources such as the network bandwidth. In the case of multiple simultaneous migrations, such resource demands will increase dramatically and are difficult to be satisfied immediately. This paper proposes a scheduling method for multiple VM migrations to guarantee the fast completion of those tasks and hence the reduced...
Cross subframe scheduling is introduced to improve spectrum efficiency in co-channel heterogeneous network (Het-Net) scenarios. In practical protocol development, the design of control channel signaling, for instance, how to determine the subframe carrying control channel, plays an important role for efficient resource usage. This paper proposes a novel method to determine the subframe carrying the...
The Ground Station Scheduling is one of the most important problems in the field of Satellite-Scheduling. This problem consists in planning feasible planning of communications between satellites or spacecraft (SC) and operations teams of Ground Station (GS). The information received in these communications is usually basic information such as telemetry, tracking information or tasks to perform, so...
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