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Multicast can not only shorten task completion time of applications, but also effectively reduce overall bandwidth consumption in data center networks (DCNs). However, load imbalance and sudden link blocking will seriously impact the network performance owing to the fundamental characteristics of huge traffic in DCNs. To address this problem, in this paper, we propose a novel multicast scheduling...
With the development of streaming media technology, streaming media services are widely used. In the case of limited bandwidth resources in the streaming media system and the bandwidth fluctuation of user requests, how to ensure the quality of the streaming media service is an important problem. In this paper, a limited bandwidth resource scheduling algorithm for a streaming media server was proposed...
Modern embedded systems generate a large volume of data that require a highly scalable and available framework that enables computing, storage, and data analysis. Many cloud providers offer unlimited storage as well as a flexible processing infrastructure, allowing for executing a large number of tasks with high performance. This paper presents a framework for extending the local resources of embedded...
A load scheduling algorithm for the virtual server cluster which is suitable for the storage system is proposed to solve the problem of uniform load distribution of the current virtual server cluster, according to the characteristics of the storage system. This method, which analyzes the selection schemes of each index's weight, is based on the real server's state collection feedbacks periodically...
Distributed systems have set of cooperating and independent functional units which enables user to achieve potential parallelism during the execution and fault tolerance. The tasks has to be distributed wisely such that load on each node has to be kept within limits. To achieve this, a special node was assigned as load balancer which manages the load on each node by considering various static and...
Cloud computing has officially entered the commercial application stage, which puts forward higher requirements on network load balancing. Leveraging effective load distribution and traffic scheduling algorithm to reasonably allocate the request data between every processing nods to achieve optimal processing capacity of the system is one of the effective ways to improve the utilization of network...
Cloud computing is a new platform in the field of information technology which faces the problem of load balancing as one among the other problems such as security and privacy. Efficient load balancing guarantees efficient utilization of resources by allocating the resources to users on demand. This paper presents a survey on various load balancing techniques and various task scheduling algorithms...
Grid computing is considered as the upcoming phase of distributed computing. Grid focuses on maximizing the resource utilization of an organization by sharing them across application. Ingrid computing, job scheduling is an important task. Load balancing and resource allocation are vital issues that must be considered in a grid computing environment. Load balancing is the technique which distributes...
Energy conservation is a key concern in computing systems because it can bring several benefits such as reducing operating costs, increasing system reliability. To provide cloud services, more and more large-scale data centers containing thousands of computing nodes are built, which results in consuming terrific amount of energy with huge cost. Existing Energy-Aware Scheduling Algorithms developed...
Cloud computing is a novel perspective for large scale distributed computing and parallel processing. It provides computing as a utility service on a pay per use basis. The performance and efficiency of cloud computing services always depends upon the performance of the user tasks submitted to the cloud system. Scheduling of the user tasks plays significant role in improving performance of the cloud...
With the rapid development of the Internet, in the face of the rapid increase of the number of visits and more complex transaction, the network server must have a very strong network computing processing power and functionality to provide a large number of concurrent access to services. The load balancing technology of linux virtual server will undoubtedly become an effective means to solve the bottleneck...
While Linux is the most favored operating system for an open source-based cloud data center, it falls short of expectations when it comes to fair share multicore scheduling. The primary task scheduler of the mainline Linux kernel, CFS, cannot provide a desired level of fairness in a multicore system. CFS uses a weight-based load balancing mechanism to evenly distribute task weights among all cores...
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