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Today we see a significantly increased use of problem-oriented approach to the development of cloud computing environment scheduling algorithms. There are already several such algorithms. However, a lot of these require that the tasks within a single job are independent and do not account for the execution of each task and the volume of data transmitted. We propose a model of problem-oriented cloud...
The mechanisms of allocating the resources in Long Term Evolution (LTE) cellular networks are very critical issues, because scheduling algorithms have the main responsibility for determining how to allocate radio resources for different users. In this work a dynamically adopted Proportional Fair (PF) scheduling strategy for capacity enhancement of LTE system is proposed. Performance comparison with...
This paper develops offline schedule and online schedule algorithms for maritime Cyber Physical Systems (CPSs), to address the issue of delivered surveillance videos that vessels generate from the origin port to destination port. During the saiüng, the surveillance videos could be uploaded by the infostations offshore. The videos are splited into packets, which could be delivered successfully before...
This paper studies the coil scheduling problem in parallel continuous annealing lines, which is derived from practical steel production. The problem is to assign the candidate coils to the parallel continuous annealing lines, and make the schedule of the coils in each production line, aiming at reducing the total changeover cost, and improving the production capacity utilization. To solve the problem,...
The decisions of routing and scheduling in typical backpressure framework are actually made jointly, which hurts modularity and imposes difficulties in practice. In addition, the backpressure style routing and scheduling usually lead poor delay performance. This paper proposes a throughput utility maximization algorithm for multisession multihop wireless networks by applying the Lyapunov optimization...
In-band full-duplex, allowing simultaneous transmission and reception on the same device over the same frequency, can double the spectral efficiency theoretically. However, the severe self-interference challenges the physical layer design. Thus, to simplify the interference cancellation (IC), the space division full-duplex (SDFD) is considered, where two spatial-separated transmission points (TPs),...
Real Time Processor Scheduling with no preemption of tasks is a class NP-hard problem. We have attempted to get the best task allocation schedule for sporadic tasks, such that all the tasks are being scheduled without missing its deadline. Bat algorithm was proposed from the motivation behind the bat's echolocation behaviour. Bat Searches for the prey in the given search location once found it tries...
The ascending increase in the numbers of Plug-in Electric Vehicles (PEVs) in the world brought forward many new challenges to the power grid and utility networks. Some of these challenges are related to finding and managing additional power resources for these PEVs. Green power is one of the alternatives but, we still need to find a cheap way to store this power, PEVs could play a significant role...
With the rapid growth in online services and scarcity of professionals under same domain, there is a huge requirement for integaration of services with Cloud Computing (CC). It is a latest technological trend in present arena. It provide an efficient infrastructure, better services over the internet. In CC environment scheduling of services is one of the major issue which can have significant impact...
Wireless Cloud computing delivers the data and computing resources through the internet, on a pay for usage basis. By using this, we can automatically update our software. We can use only the space required for the server, which reduces the carbon footprint. Task scheduling is the main problem in cloud computing which reduces the system performance. To improve system performance, there is need of...
For a given set of communication links whose senders transmit at a fixed power level, it is a hot problem to select a maximum set of links that can be transmitted simultaneously, which is known to be NP-hard. The existing algorithm only apply to the condition of omnidirectional transmission. This paper addresses the problem in a plane wireless network where the nodes use directional antennas under...
Resource allocation and interference management for a multibeam multiple input and single output (MISO) satellite communication system are very important to maintain reliable communications and efficient utilization of radio resources. In this paper, we consider two different resource allocation problems which aim at maximizing the system sum rate and the sum utility of all users, respectively. By...
Resource allocation and interference management for a multibeam multiple input and single output (MISO) satellite communication system are very important to maintain reliable communications and efficient utilization of radio resources. In this paper, we consider two different resource allocation problems which aim at maximizing the system sum rate and the sum utility of all users, respectively. By...
Electrical power systems have been developed to more advanced structures called as “smart grids”. Among many other issues, demand side management (DSM) is one of the important instruments of the smart grids. DSM techniques increase the efficiency of the grid, and modify consumer’s electrical demand via demand response (DR) programs using financial incentives. In this study, shiftable domestic loads...
Vehicle Scheduling Problem (VSP) with time and capacity constraints is a real life logistic open problem that is difficult to model and hard to solve. A typical case of study of this category is the Ready Mixed Concrete Delivery Problem (RMCDP), in which the objective of the delivery operation adheres to strict time and capacity constraints. In Ready Mixed Concrete (RMC) delivery process, there is...
Grid computing proposes a dynamic and earthly distributed organization of resources that harvest ideal CPU cycle to drift advance computing demands and accommodate user's prerequisites. Heterogeneous gridsdemand efficient allocation and scheduling strategies to cope up with the expanding grid automations. In order to obtain optimal scheduling solutions, primary focus of research has shifted towards...
Improving the performance of network traffic in shuffle phase is important to improve the performance of MapReduce. The goal of enhancement of network traffic is achieved by using partition and aggregation. According to traditional method a hash function is used to partition intermediate data among reduce tasks but the traditional function is not efficient to handle network traffic. A novel intermediate...
Cloud computing is the new generation of networks that uses remote servers hosted on the Internet for various uses such as data storage, data management, software usage etc. There are huge amount of resources provided and users can make use of the resources in any way they want to. Today, researchers attempt to find newer ways for Workflow scheduling which could work well in the cloud environment...
As communication was the major perspective of traditional networks, grid computing focuses on figuring the problems by using unprocessed CPU cycles that cannot be resolved by stand-alone computers. Grid being an earthly distributed network of computers provides a clear, coordinated, consistent and reliable computing medium to various applications. Owing to the heterogeneity of resources in a grid...
Scheduling is a vital issue in cloud computing in order to facilitate optimized usage of resources as in today's global and competitive environment the use of scarce resource in the best possible way is very important. Heuristic based algorithms are used in optimization techniques as they are class of heuristic approaches that have their inspirations from metaheuristics which are a general framework...
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