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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...
Network function virtualization has received attention from both academia and industry as an important shift in the deployment of telecommunication networks and services. It is being proposed as a path towards cost efficiency, reduced time-to-markets, and enhanced innovativeness in telecommunication service provisioning. However, efficiently running virtualized services is not trivial as, among other...
The cloud computing applications has key building blocks in distributed file system based on Map Reduced programming. Nodes serve computing features and storage. A file is divided into chunks and that can be allocated in the nodes. As files can be created, moved, updated and deleted. This leads to load imbalance in the file system. It is necessary to distribute the file chunks uniformly across the...
Dynamic resource provisioning is a useful technique for handling the variations seen in communication systems workloads. In this paper the problems of multiple stage multiple resource multiple service systems are discussed. A dynamic provisioning technique for multi-stage systems that employs a flexible analytical model to determine how much resources to allocate to each stage of the system is presented.
In this paper a method of allocating system resources to ensure efficient processing of requests in online charging cs=saystem, which allows you to control the quality of service provision, takes into account the required amount of resources to serve one request and statistics on the number of requests for each type of service received by the specified time intervals is given.
Cloud computing is a new technology in computer field which provides various resources over the Internet. It serves different types of the resources in virtualized form. Resource allocation and better utilization of the virtualized resources can be done by using scheduling. This paper analyses various types of scheduling algorithms for resource allocation in cloud computing. We propose a new algorithm...
As new cloud computing technologies continue to be developed, the systems are more and more efficient. This has enriched the applications of cloud computing, ranging from industry, business, to scientific fields. Nowadays cloud computing has become one of the important research issues in the computing and computer network fields. A cloud computing system consists of several independent servers. By...
Content Delivery Networks (CDNs) have been identified as one of the relevant use cases where the emerging paradigm of Network Functions Virtualization (NFV) will likely be beneficial. In fact, virtualization fosters flexibility, since on-demand resource allocation of virtual CDN nodes can accommodate sudden traffic demand changes. However, there are cases where physical appliances should still be...
One of the main challenges in cloud computing is to increase the availability of computational resources, while minimizing system power consumption and operational expenses. This article introduces a power efficient resource allocation algorithm for tasks in cloud computing data centers. The developed approach is based on genetic algorithms which ensure performance and scalability to millions of tasks...
Cloud computing is a promising technology to improve computational efficiency for both IT enterprise and individuals. Resource allocation in cloud computing is very challenging as both server computing power and network bandwidth are limited. The computational efficiency of cloud computing system can be significantly improved if the resources are allocated in a balanced fashion. However, resource...
Service providers face multiple challenges in hosting an increasing number of virtual machine (VM) instances. Minimizing the utilization of system resources while maximizing the potential for profit are among the most common challenges. Recent studies have investigated memory reclamation techniques focused on virtual technologies, specifically page sharing, for minimizing the utilization of system...
As the popularity of smart phones and tablets, users have an increasing desire to enjoy ubiquitous game playing. The emerging cloud gaming turns this desire into reality, enabling users to play games at anywhere on any devices. However, due to the huge amount of data transmission, it is challenging to provide a high quality game experience under the limited bandwidth capacity. In this paper, we propose...
This paper studies the two-level collaborative work architecture of resources allocation mechanism for remote collaborative distribution, researches on key technologies of two-level organization activities in real-time dynamic allocate resources, proposed a two-level collaborative scheduling algorithm to support resources co-allocation. The application showed that the system had a good serviceability.
In this paper, the cloud services optimization problem considering energy consumption cost is discussed. The queue model is presented for customer request service on data center. Since the server energy utility is based on the CPU core frequency, the novel trade-off optimization model between services revenue and energy loss cost is proposed in the paper, including allocating the dynamic CPU frequency...
Cloud computing is an emerging paradigm that allows the on-demand delivering of software, hardware, and data as services. It has attracted a lot of attention recently due to the increasing demand for high performance computing and storage. Resource allocation is one of the most important challenges in the cloud computing system, especially when the clients have some Service Level Agreements (SLAs)...
Nowadays, the quantity of collected data from many different sources is increasing dramatically. As the traditional on-hand computing resources are not sufficient enough to handle Big data, deploying the processing services into clouds is becoming an inevitable trend. For QoS (quality of service)-aware Big data processing, a specially designed cloud resource allocation approach is required. Presently,...
Modern enterprise data centers take advantage of virtual machine consolidation to allocate virtual machines to virtualized servers to increase energy efficiency. One key problem is to minimize the number of virtualized servers required while maintaining service quality. A promising approach is to exploit recurring load patterns exhibited by enterprise VMs for increased allocation efficiency. This...
To provide elasticity for cloud-hosted applications, there is a need to specify the appropriate location of the resources (computing and storage resources) while meeting SLA promises. This paper presents literature review, problem statement and research methodology.
Cloud computing is a new computing paradigm which has the provision of computational resources like services accessed over the internet. In this paradigm, computing resources are pooled and allocated according to customer demand. The growing demand for this new type of service has led to increased use of energy on the part of service providers, due to the need to maintain the computing infrastructure,...
Large parallel file systems (PFSs) must service multiple independent workloads concurrently. Workloads often require different quality of service (QoS) of metadata I/O. However, existing PFSs are unable to differentiate metadata I/O from different workloads. There are many researches on QoS support of storage system, they do not focus on metadata I/O of PFSs as one metadata I/O can have several sub-operations...
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