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Network Functions Virtualization (NFV) is a new network paradigm that has been strongly promoted from both scientific community and telecom industry, where network functions (NFs) such as firewalls, load balancers, gateways among others, are virtualized, isolated from middleboxes and housed on one or more industry standard computing nodes. One of the main challenges for service providers when they...
In order to shorten the response times of aperiodic tasks in mixed task sets in real-time systems, this paper proposes an adaptive total bandwidth server (ATBS) algorithm based on aperiodic tasks with varying executing times. This method of reducing response times of aperiodic execution by using predictive execution times instead of worst-case execution times for deadline calculations in the total...
Mobile edge computing (MEC) has recently emerged as an important paradigm to bring computation and cache resources to the edge of core networks. However, the resources of edge network are relatively limited, so it is necessary to cooperate with data center (DC) which has sufficient computational resources. In this paper, we aim at designing a computation offloading and data caching model under the...
In this paper, we propose a novel QoE-driven centralized scheduling framework to satisfy the differentiated quality of experience (QoE) requirements of cellular users for HTTP-based video streaming transmission. The framework jointly considers the comprehensive information from the video server side (video coding rates and QoE parameters), the user side (video playback buffer occupancy), and the time-varying...
In green computing and cloud computing require efficiency in consolidating virtual machine without degrading quality of service. This study, focus on minimizing the migration of Virtual Machine to produce lowest power consumption. To achieve this objective, a new algorithm is used to calculate on the fly the Lower and Upper Threshold Limit using Statistical Process Control theory. This new algorithm...
This paper deals with the ofï-line route planning of Automated Guided Vehicles (AGVs). We propose a conflict-free route planning approach for the AGVs' control system in a warehouse system. The candidate routes are determined by using the improved Dijkstra's algorithm. The potential conflicts are detected and classified upon the comparison of node coordinates and occupancy times. A self-adaptive strategy...
Computing frameworks have been widely deployed to support global-scale services. A job typically has multiple sequential stages, where each stage is further divided into multiple parallel tasks. We call the set of all the tasks in a stage of a job a cotask. In this paper, we aim to minimize the average Cotask Completion Time (CCT) in cotask scheduling. To the best of our knowledge, there is no prior...
As an emerging technology, Mobile Edge Computing (MEC) is introduced to reduce network delay and provide context-aware services. MEC servers are located in close proximity to users, enabling users to seamlessly access services running on edge facilities. However, capacity and bandwidth constraints of MEC servers limit the number of services to be deployed. Therefore, an important problem is how to...
The green-house effect has been a major concern for all researchers and big company world-wide. This study reduces the power consumption of single server without degrading the quality of the service by focusing on minimizing the migration of Virtual Machine. Existing migration system for Virtual Machine does not perform well for kinds of load toward single server. Thus, a new algorithm is calculated...
This paper tackles the issue of Data Centers (DCs) energy efficiency by proposing a Self-Adaptive Task Scheduler that proactively allocates incoming tasks to physical servers avoiding the need of consolidation and implicitly avoiding task migration from one server to another. The Self-Adaptive Task Scheduler is based on a MAPE architecture. The monitoring phase aggregates data about resource utilization,...
This article selects load balancing system technology to analyze, combines the live migration technology of virtual machine, and studys the frame of virtual machine live migration as well as the mathematical model applied to concrete process of the migration. The article presents that the process of combining the specific strategies of load balance to the frame of live migration, that the simulation...
The energy consumption of data centers has been increasing continuously during the last years due to the rising demands of computational power especially in current Grid- and Cloud Computing systems, which directly influence the increment in operational costs as well as carbon dioxide (CO2) emission. To reduce energy consumption within the cloud data center, it required energy-aware virtual machines...
In this paper we consider the data caching problem in next generation data services in the cloud, which is characterized by using monetary cost and access trajectory information to control cache replacements, instead of exploiting capacityoriented strategies as in traditional research. In particular, given a stream of requests to a shared data item with respect to a homogeneous cost model, we first...
The Information-Centric Network (ICN) is very promising in the area of Complex Active Networks (CANs), where the data-centric approach is useful in reducing the data retrieval latency as well as the network traffic of active networking services. Also, the in-network caching and processing capabilities in ICN limits the massive data access to the data producers and so relaxes the need of continuous...
In this paper, we propose an OpenFlow-assisted framework for P2P (peer-to-peer) live streaming, which incorporates an OpenFlow-assisted architecture and an OpenFlow-assisted algorithm. The architecture combines the characteristics and advantages of both BitTorrent system and OpenFlow network. The algorithm can dynamically calculate the path and corresponding available bandwidth for each flow according...
In recent years, there is a rapid growth in the internet services which has increased incoming traffic in the network and also plays a vital role in increasing the size of the cluster server. The load balancing is a key technology to manage the traffic efficiently. In this paper, we propose an alternative load balancing architecture using OpenFlow switches which are connected to the controller. This...
Cloud Computing is the current trend and will be future era because of its advantages like pay per usage and on demand services. Load Balancing is a key aspect of Cloud Computing. It is the distribution of network or applications traffic across a number of servers. As the volume of data is increasing day by day the organizations will migrate from traditional computer system to the cloud based system...
Today, most traffic management systems regulate vehicular traffic using signalling devices that let vehicles on each lane pass after fixed predefined intervals. The emergence of autonomous vehicles and IoT based intelligent vehicular networks has created an opportunity to develop an efficient traffic scheduling algorithm that eliminates the need for traffic signals. There is now a possibility of a...
The Memcached system has no redundancy mechanism. In special cases, there will be a performance degradation of the server and the single-point-of-failure. For these reasons, MS_Memcached, a distributed cache system with master-slave mode, is presented in this paper. It maintains the slaves from the masters with the asynchronous message queue. By using a dynamic feedback load balancing algorithm, the...
Documents encrypted on the cloud servers can improve security, it also brings about a challenging question for secure query. We use the vector space model (VSM) to obtain the similarity of the documents. In this paper, we use a secure method to support multi-keyword parallel query, which the improved multi-tree [1] can storage the vector value and query similar to the linear. The advantage of using...
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