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The recent emergence of, cloud computing is making the, vision, of, utility computing, realizable, i.e., computing resources and services from a cloud can be delivered, utilized, and paid for in the same fashion as utilities like water or electricity. Current, cloud service providers have taken some steps towards supporting the true, pay-as-you-go or a utility-like pricing model, and current research...
This Paper deeply analyzes and studies the existing problems in the any cast communication models in an IPv6 network and proposes a k-Any cast routing schemes for IPv6 network which are fault tolerance, load balancing, security, and improvement in system performance. In addition, this paper proposes a concrete scheme on how to implement this k-Any cast communication model in an IPv6 network which...
Based on the technology of Linux Virtual Server, the load balancing system could solve server bottleneck problems which were brought by the development and application of Internet, network of geometric growth of subscribers and network flow. WLC scheduling algorithm is often adopted, and is a good effect. This paper puts forward a kind of optimization methods based on server performance calculating...
Communication latencies directly influence the performance of distributed virtual simulations due to existent dependencies between simulation elements. The High Level Architecture (HLA) was designed to organize these simulations and reduce communication overhead. Even though the framework successfully manages data distribution, it is not concerned of communication distances and the network topology,...
With the development of Grid technology and the extension of Grid application areas, it needs to provide core infrastructure platform and the necessary functional components for large-scale resources sharing and collaboration. Based on the previous implementation of interactive Grid visualization system, this paper extends its runtime environment layer to provide Grid supports for the existing distributed...
Kiltera is a language for modelling, analysis and simulation of time-sensitive, event-driven systems with support for (channel) mobility, introduced in. In this paper we present an updated version of the language to support distributed computation. We present the language from an informal perspective and discuss its implementation based on event-scheduling and time-warp for distributed simulation...
A server farm is examined, where a number of servers are used to offer a service to impatient customers. Every completed request generates a certain amount of profit, running servers consume electricity for power and cooling, while waiting customers might leave the system before receiving service if they experience excessive delays. A dynamic allocation policy aiming at satisfying the conflicting...
Loading balancing is one of research hotspot of P2P network. There exist many problems such as low load balancing degree and excess assumption conditions etc.in existing load-balancing technology. The paper proposed an improved load-balancing algorithm: ILB_P2P.The algorithm assigns rational load and corresponding ID address space that can be dynamically regulated to every peer in P2P system. In addition,the...
Distributed load managers exhibit thrashing where tasks are repeatedly moved between locations due to incomplete global load information. This paper shows that systems of Autonomous Mobile Programs (AMPs) exhibit the same behaviour, identifying two types of redundant movement and terming them greedy effects. AMPs are unusual in that, in place of some external load management system, each AMP periodically...
As the IEEE 1516 standard for distribution simulation, High Level Architecture (HLA) framework does not solve the issues of scalability, dynamic load-balance and fault tolerance. HLA does not support federation migration, which would balance the system workload on heterogeneous distributed resources and consequently improve simulation's performance either. In this paper, a Grid based Advanced Distributed...
A new methodology of mobile police spatial information service grid model is studied based on spatial grid computing environment. Key technologies are presented in the model, including spatial grid computing, mobile agent (MA) distributed computing, mobile geographic information system (GIS), global positioning system (GPS), video monitoring, transfer control protocol/internet protocol (TCP/IP), and...
With the arrival of the network and digital age, the library's holdings of resources has undergone a drastic change in which the proportion of digital resources occupy an instantly increase. The digital resources are easy to share and retrieve. This article discusses the need for integration of university library's digital resources, the principles and contents of integration. several integrated model...
Energy consumption is an increasingly important consideration in computing. High-performance computing environments consume substantial amounts of energy, at an increasing financial and environmental cost. We explore the possibility of reducing the energy consumption of a grid of heterogeneous computers through appropriate resource allocation strategies. We examine a number of possible grid workload...
To support any services in all-IP networks, it is necessary to allocate both computing resource and network resource (bandwidth) simultaneously and effectively. The authors proposed the joint resource allocation method for multiple resource types, assuming the non-delay resource allocation. Although the proposed method can achieve an efficient use of resources, it may result in an unfair use of resources...
The current challenge for crowd simulations is the design and development of a scalable system that is capable of simulating the individual behavior of millions of complex agents populating large scale virtual worlds with a good frame rate. In order to overcome this challenge, this thesis proposes different improvements for crowd simulations. Concretely, we propose a distributed software architecture...
Many emerging information processing applications require applying various fork and join type operations such as correlation, aggregation, and encoding/decoding to data streams in real-time. Each operation will require one or more simultaneous input data streams and produce one or more output streams, where the processing may shrink or expand the data rates upon completion. Multiple tasks can be co-located...
Establishing trust in a distributed computing environment is one of the most challenging and important aspects of cluster computing. Achieving optimal performance in clusters forces the migration of processes to other nodes. This is where trust comes into play. A secure trusted environment is needed in order to ascertain the credibility of the participating nodes working together to achieve a goal...
Recently, the improvements in processing performance of a computer and high speed communication of an optical fiber have been achieved, so that the amount of data which are processed by a computer and flowed on a network has been increasing greatly. However, in a client-server system, since the server receives and processes the amount of data from the clients through the network, a load on the server...
We consider the problem of allocating a large number of independent, equal-sized tasks to a heterogeneous large scale computing platform. We model the platform using a set of servers (masters) that initially hold (or generate) the tasks to be processed by a set of clients (slaves). All resources have different speeds of communication and computation and we model contentions using the bounded multi-port...
With the development of grid computing, economy models are invented and increasingly applied, however, that is under the assumption of both transaction parties are honest and trustworthy. In reality there is serious information asymmetry between the transaction participators. Information asymmetry may cause resource providers opportunistically exploit the information gap for resource consumers on...
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