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With emerging use of real time communication (i.e., high band width videos, video calls etc.) and IoT, this become challenge to manage network and handle traffic. SDN is a technology which provides scalability and flexibility to network by decoupling of control plane and data plane. It is also difficult to allocate resources depending upon types of tasks and user requirements. SDN central controller...
Energy internet has received increasing attention as a promising solution for the widespread use of renewable energy resources in recent years. One of critical issues in energy internet communications is how to guarantee the desired quality of service(QoS) while numerous smart devices access the wireless network. In this paper, we study the problem of access scheduling for QoS guarantees under massive...
Security is the major issue in most of the real-time applications, besides there being a stringent requirementfor such applications to provide high QoS. As security algorithmsdemand large computation time, the prevalent real-time packetscheduling algorithms tend to focus on meeting the deadlinewithout having much concern for security requirements. In thispaper, we propose a utilization based secured...
Regarding the bandwidth allocation of IEEE 802.16j two-hop relay networks, a Dynamic Bandwidth Allocation (DBA) algorithm based on the utility optimization is proposed. During the bandwidth allocation process of relay links, DBA algorithm takes the Quality-of-Service (QoS) requirements of different services into account by means of utility functions came from economic theories. Under the certain constraints,...
In this paper, we model and analyze the resource management problem of energy harvesting-based underlaying device-to-device (D2D) communication in uplink cellular networks (CNs). D2D transmitter can harvest energy from ambient inter- ference and reuse the spectrum of the cellular users (CUs) to com- municate with corresponding receiver. The energy of transmitters comes form the mix of the harvested...
With the rapid development of high-speed railway (HSR) system, there is an increasing demand on providing high quality multimedia services for HSR passengers. In this paper, we investigate the downlink resource allocation problem for multimedia services delivery in HSR orthogonal frequency division multiple access (OFDMA) system. Taking the statistical delay-QoS requirements into account, we formulate...
The idea is to build an architecture to deliver services like broadcast and multicast over an existing infrastructure using LTE Multimedia Broadcast Multicast Service in a Single Frequency Network Area. Video on demand is the current demand from everyone and which is in a high rise and the mobile operators are in a plan of migrating their current IP based infrastructure of LTE to attain new business...
Dynamic service scheduling is a challenging problem to the high-efficient implementation of service based business applications. Recent researches on dynamic service scheduling mostly focus on the service allocation, but they seldom optimize the timetable which defines the starting time of each service instance, and the existing methods proposed are time-consuming and with low calculation precision...
Machine-to-Machine (M2M) communication is used for automated data transmission and measurement between remote electronic devices. Every device that can use M2M communication will become a significant component of the Internet of Things (IoT) and Big Data. And there are many different applications of M2M communication (e.g., fleet management, smart metering, smart grid, and home/factory/city automation)...
As an effective service mode, online auditing which serves the highest state audit institution is emerging as an important tool for national governance. However, as a crucial part during online auditing workflow, data stream processing has become one of the most important problems that restrains the development of online auditing. To address this problem, our study are primarily focusing on three...
Workflow applications require workflow processing in which workflow tasks are processed based on their dependencies. With the emergency of complex distributed systems such as grids and clouds, efficient workflow scheduling (WFS) algorithms have become the core components of the workflow management systems (WfMS). Thus, WFS that allocates each task in the workflow to a relevant resource with the aim...
Quality of Experience (QoE) is a wide concept including user perception, behavior and expectations as well as application and network performances. The Internet of the future should be able to increase the QoE offered to the users, also in relationship with their commercial profiles. This paper presents an innovative approach, based on game theory, which, according to the feedback of QoE, is able...
In multiple hops network, there would be competition among the Peer to Peer (P2P) links when the amount of the P2P links was large. This paper proposed a novel dynamic channel allocation (DCA) algorithm based on ant colony intelligence (ACI) to solve the problem of multi-hop network competition among the P2P links. Theory analysis showed than the shorter of the average length of the routes of the...
Dynamic uplink and downlink reconfiguration is studied as an effective method to improve the system packet throughput performance in the LTE Heterogeneous Network. There are various kinds of traffic with different quality of service requirements in the practical wireless network, which has not been fully considered by the existing resource allocation strategies for dynamic TDD. In this paper, a resource...
Different profiles of applications may be supported by dynamic circuit network (DCN), which makes the problem of bandwidth allocation to highly challenging requests and of fundamental importance to the proper network performance. This article proposes a new algorithm for bandwidth allocation in DCN networks called Band Residual balancing (BBR). The BBR considers elastic applications and seeks to balance...
Cloud Computing is a type of parallel and distributed system consisting of a collection of interconnected and virtualized computers that are dynamically provisioned and presented as one or more unified computing resources between the service provider and consumers. In cloud computing, many tasks are to be executed by the available services to achieve better performance, minimum total time for completion,...
Resource management is the primary issue as the demand grows for provisioning resources and computation in cloud systems. This article presents various research issues pertaining to the management of cloud resources while a comparison is made between existing resource allocation systems. The issues and challenges discussed in this paper are resource provisioning, job scheduling, load balancing, scalability,...
General-purpose computing on GPUs (GPGPU computing) is becoming widely adopted; however, some GPGPU applications fail to fully utilize GPU resources. In these cases, spatial multitasking better exploits the parallelism offered by GPUs by partitioning the GPU resources among simultaneously-running applications. When one or more such applications have quality-of-service (QoS) requirements, enough resources...
Adaptability as an emerging design trend for embedded systems has been of increasing interest. As the representative QoS-adaptable application/software model, Imprecise-Computation (IC) gains growing attentions on its ability to provide scalable execution quality by trading-off system resources. Tight coupling between application temporal characteristics and execution quality makes scheduling imperative...
The management of resources and scheduling in cloud computing environment is a complex undertaking mainly due to resource's geographic distribution, heterogeneity and dynamic. A Qos guided task scheduling model, being composed of some scheduling strategies and a QoS guided scheduling Sufferage-min heuristic algorithm, is presented. Taking account for not only the resources' properties of dynamic and...
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