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In this paper, we address cloud VoIP scheduling strategies to provide appropriate levels of quality of service to users, and cost to VoIP service providers. This bi-objective focus is reasonable and representative for real installations and applications. We conduct comprehensive simulation on real data of twenty three on-line non-clairvoyant scheduling strategies with fixed threshold of utilization...
In big data clusters, task dispatchers assign arriving tasks to one of many workers (servers) for load balancing. Workers schedule task executions for rapidly completing queueing tasks. Both dispatchers and workers are important for optimizing task/job-completion-time (TCT/JCT). Current dispatchers probe loads on workers before assigning every task/job, which incurs expensive message overheads and...
Sensor-cloud has recently emerged as a promising technology that provides sensor management approaches and facilitates sensor data sharing by virtualizing the physical sensors on a cloud platform. This framework is a new trend to deploy and execute various smart applications with rapidly changing in the amount of traffic loads. Therefore, it is essential to provide a platform to meet demand variation,...
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.
Priority control is important in information systems that are designed according to SOA because there are services which have different functions and qualities, and a large amount of concurrent service requests may also occur at some point. A message scheduling model based on priority control of the service consumer is proposed. By adding an overall control queue between service consumers and service...
This paper aims at the development of a cloud services provisioning framework by developing a dynamic priority job scheduler cum load-balancer for the cloud. The main motive of this paper is to provide a means of managing the job requests in a flexible and cost-effective way, both for the customer and the cloud service provider. In order to make the cloud scalable and adaptable to the changing needs...
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.
Traditional video-on-demand (VoD) systems rely purely on servers to stream video content to clients, which does not scale. In recent years, peer-to-peer assisted VoD (P2P VoD) has proven to be practical and effective. In P2P VoD, each peer contributes some storage to store videos (or segments of videos) to help the video server. Assuming peers have sufficient bandwidth for the given video playback...
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...
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...
This paper analyses the defect of the designing model of load balancing in hybrid P2P network, and proposes a new strategy of scheduling for load balancing, which based on culture algorithm of multilayer belief spaces. According to the current load status of each super-node in the system, it can calculate its load weight of the next time section by using the cultural algorithm, and assign the current...
We consider a self-managing, self-organizing pool of virtualized computer servers that provides infrastructure as a service (IaaS) for enterprise computing workloads. A global controller automatically manages the pool in a top down manner by periodically varying the number of servers used and re-assigning workloads to different servers. It aims to use as few servers as possible to minimize power usage...
We consider a content sharing network of non-cooperative peers. The strategy set of each peer comprises, (i) client strategies, namely feasible request load splits to servers, and (ii) server strategies, namely scheduling disciplines on requests. First, we consider the request load splitting game for given server strategies such as First-In-First-Out or given absolute priority policies. A peer splits...
The ns-2 simulator is one of the most popular and widely used discrete event network simulators. Its usage of the general purpose Tcl scripting language accompanied with a wide range of networking technologies allows users to easily create complex and differentiated simulation scenarios. The main limitation of ns-2 is its lack of support for multiprocessing, especially considering that the multi-core...
To solve the FTP server-clusterpsilas global balancing problem, this paper proposes a novel load balancing scheme, including the choice of FTP load balancing strategies and the construct of the uniform distributed platform which is implemented by JXTA. The paper adopts the self-adaptive FTP load balancing strategy, called global-local-secondary global, to schedule the download requests of clients...
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