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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...
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...
Network Function Virtualization has attracted attention from both academia and industry as it can help the service provider to obtain agility and flexibility in network service deployment. In general, the enterprises require their flows to pass through a specific sequence of virtual network function (VNF) that varies from service to service. In addition, for each VNF required in the coming service...
Live virtual machine (VM) migration is defined as a technique that migrates the entire operating system (OS) and its associated applications from one host/physical server to another providing that users should not notice any interruption in their services. Live VM migration plays an important role to facilitate online maintenance, load balancing, and energy management as part of resource management...
Information privacy for Wireless body area network (WBAN) includes the user's physiological parameters. When a user of WBAN system intends to query medical data, the security issue is involved. Ciphertext retrieval technology is an effective way to ensure this confidentiality. However, efficiency and accuracy for data retrieval are challenges under the consideration of the aggregation of medical data...
In order to enhance the performance of HDD-based storage systems, low-latency and high-IOPS SSDs are usually deployed as a cache above HDDs. With explosive data growth, a large-scale SSD-based cache tend to adopt partition management for overall cached data distribution across multiple cache nodes. We proposed an adaptive and scalable SSD- based cache called CircularCache, which distributes hot data...
In order to make the performance of Electrical Engineering Virtual Lab meet growing customer demand, this paper makes an improvement on the architecture of load-balancing cluster on Linux Virtual Server, and proposes a genetic optimized BP neural network algorithm to improve the currency performance and stability of the cluster.
We have developed a prototype for a cost-aware, cloud-based content delivery network (CDN) suitable for a federated cloud scenario. The virtual CDN controller spawns and releases virtual caching proxies according to variations in user demand. A cost-based heuristic algorithm is used for selecting data centers where proxies are spawned. The functionality and performance of our virtual CDN prototype...
Cloud computing has overtaken the traditional computing technologies by providing virtualized resources on demand. Cloud data centers consume a huge amount of power and emit much carbon dioxide, resulting in two challenging problems: high energy consumption and global warming. Our prior work has derived an enhanced energy model that considered energy consumed in computing, migration and host reactivating,...
Cloud computing is a method for distributed system where software and hardware resources will be distributed through the networked Cloud and all services fetches together on the source of user requirements as they need. In cloud computing Load Balancing is always a big challenge among network researchers. This is because if network load is equally divided onto the entire network it gives faster connectivity...
Traditional distributed file system in availability, scalability, and data access performance has been difficult to meet the growing demand for data storage. This paper proposes a Metadata Server (MDS) Cluster scheme based on two-server high availability. On this basis, use a combination of a directory subtree partitioning and improved consistency hash algorithm divides the metadata, ensure the cluster...
Data availability and reliability is very important along with the growth of information and communication technology services today. Needs of the powerful and affordable database system infrastructure to be the most considered thing by the application service provider. This paper presents the powerful and scalable database open source solution infrastructure which can be distributed across the data...
Distributed computing environment has become a new technology to execute large-scale applications and Cloud computing is one of these technologies. Resource allocation is one of the most important challenges in the Cloud Computing. The optimally assigning of the available resources to the needed cloud applications is known to be a NP complete problem. In this paper, we propose a new task scheduling...
Clouds are being widely used for leasing resources to users in the form of on-demand virtual data centers, which comprise sets of virtual machines interconnected by sets of virtual links. Given a user request for a virtual data center with specific resource requirements, a critical problem is to select a set of servers and links in the physical data center of a cloud to satisfy the request in a manner...
Cloud applications often rely on shared-nothing distributed databases that can sustain rapid growth in data volume. Distributed transactions (DTs) that involve data tuples from multiple geo-distributed servers can adversely impact the performance of such databases, especially when the transactions are short-lived in and require immediate response. The k-way min-cut graph clustering algorithm has been...
Growing network traffic brings huge pressure to the server cluster. Using load balancing technology in server cluster becomes the choice of most enterprises. Because of many limitations, the development of the traditional load balancing technology has encountered bottlenecks. This has forced companies to find new load balancing method. Software Defined Network (SDN) provides a good method to solve...
Cloud providers are typically hierarchically organized into interconnected data centers, each with a collection of racks of servers organized into clusters. The communication cost between two servers is a function of their relative location in the cloud infrastructure. Cloud consumers submit allocation requests for virtual machines, of different types and capacities, and provide an indication of the...
According to its supporters, cloud computing is emerging as a fast-growing technology that is gauged to succeed where other attempts to deliver hands-on computing to general public with a network connection have failed. One of the essential benefits of using cloud computing is the feature of scalability. In this paper, keeping in mind the ‘scalability’ factor of the Cloud, a system is proposed that...
To reduce time delay of processing data and improve the efficiency of cloud computing, a clustering algorithm based on the principle of minimum distance is proposed to place user-based and item-based data, update cluster centre and the threshold dynamically. Besides, consistent hashing is combined to solve the fault tolerance and scalability issues. In addition, Case-Based Reasoning (CBR) algorithm...
This paper introduces a load-balancing cluster system based on Linux Virtual Server we designed for Internet-based Electrical Engineering Virtual Lab, and presents a dynamic feedback algorithm based on neural network to solve unbalanced scheduling problem and improve the performance and stability of the cluster.
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