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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.
As demands for cloud-based data processing continue to grow, cloud providers seek effective techniques that deliver value to the business without violating Service Level Agreements (SLAs). Cloud right-sizing has emerged as a very promising technique for making cloud services more cost-effective. In this paper, we present CRED, a novel framework for cloud right-sizing with execution deadlines and data...
Current cloud users pay for statically configured VM sizes irrespective of usage. It is more favorable for users to consume (and be billed for) just the right amount of resources necessary to satisfy the performance requirement of their applications. We take a novel perspective to enable such resource usage, where we assume that the cloud operator exposes a small, dynamic fraction of its infrastructure,...
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...
Energy proportionality of data center severs have improved drastically over the past decade to the point where near ideal energy proportional servers are now common. These highly energy proportional servers exhibit the unique property where peak efficiency no longer coincides with peak utilization. In this paper, we explore the implications of this property on data center scheduling. We identified...
Job scheduling is a necessary prerequisite for performance optimization and resource management in the cloud computing system. Focusing on accurate scaled cloud computing environment and efficient job scheduling under Virtual Machine (VM) resource and Server Level Agreement (SLA) constraints, we introduce the architecture of cloud computing platform and optimization job scheduling scheme in this study...
Cloud computing is a new paradigm that provides computing, storageand networking services to end users. Data distribution for cloudcomputing is different from that in traditional content distributionnetworks in that it has a direct implication on efficiency of usingcloud resources. In this paper we propose a new block-based datadistribution mechanism for cloud computing. Instead of using thewhole...
In order to improve energy efficiency of computation-intensive workloads in Cloud Radio Access Network (C-RAN), virtualized hardware accelerators (HA) are proposed in this paper. In C-RAN architecture, the base stations (BS) are running in the virtual machines. Virtualization mechanism of HA makes each BS feel like owning a HA exclusively, but actually BSs sharing the HAs. To tackle the problem of...
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...
Servers in data centers consume large amount of energy which increase the operational cost for cloud service providers, that spend a major portion of their revenue to pay bills due to inefficient workload assignment and wastage of resources. In order to minimize the operational cost of data centers, it is essential to optimize the scheduling of the jobs. In this paper, we address the problem of inefficient...
Cloud computing is a model for delivering information technology services, wherein resources are retrieved from the Internet through web-based tools and applications instead of a direct connection to a server. The capability to provision and release cloud computing resources with minimal management effort or service provider interaction led to the rapid increase of the use of cloud computing. Therefore,...
Every day, numerous VMs are migrated inside a datacenter to balance the load, save energy or prepare production servers for maintenance. Despite VM placement problems are carefully studied, the underlying migration scheduler rely on vague adhoc models. This leads to unnecessarily long and energy-intensive migrations. We present mVM, a new and extensible migration scheduler. mVM takes into account...
Hypervisors' smooth operation and efficient performance has an immediate effect in the supported Cloud services. We investigate scheduling algorithms that match I/O requests originated from virtual resources, to the physical CPUs that do the actual processing. We envisage a new paradigm of virtualized resource consolidation, where I/O resources required by several Virtual Machines (VMs) in different...
We describe a scheduler based on deficit-round robin (DRR) for multiple servers of multiple packet-flows, where each packet-flow may be served by only a subset of available (preferred) servers. The scheduler uses a token allocation algorithm that is weighted max-min fair, and so we've called it Multi-Server Max-min Fair DRR (MSMF-DRR). The scheduler also compensates for potential errors in estimates...
Cloud computing is a novel paradigm where resources are provisioned on demand. The ever-increasing status of cloud hypothesis and the budding concept of federated cloud computing have enthused research efforts towards intellectual cloud service selection. Due to the improving status of cloud computing there are a deluge of enterprises that are using cloud environment. In the recent years cloud has...
In mixed-criticality systems functionalities of different criticalities, that need to have their correctness validated to different levels of assurance, co-exist upon a shared platform. Multiple specifications at differing levels of assurance may be provided for such systems; the specifications that are trusted at very high levels of assurance tend to be more conservative than those at lower levels...
Green cloud is a highly developed packet-level simulator used to compute energy focusing on the energies consumed by various data centers including servers, network switches. Green cloud simulators are helpful in generating solutions for arranging loads for different number of machines, maintaining and safeguarding the resources, developing the rules required for delivery and also gaining results...
Cloud computing is a distributed computing model which enables developers to automatically deploy applications during task allocation and storage distribution. Cloud computing intends to share a pool of virtualized computer resources and equipment's of computation, storage and information. Scheduling is the most important complex part in cloud computing. The ultimate aim of global scheduler is to...
In this paper we investigate the application of Meta-Heuristic for cloud task scheduling on Hadoop. Hadoop is an open source implementation of MapReduce framework which extensively used for processing computational intensive jobs on huge amount of data over multi-node cluster. In order to achieve an efficient execution schedule, the scheduling algorithm requires to determining the order and the node...
Data intensive computing (DIC) offers an attractive option for business to remotely execute applications and load the computing resources from cloud in a streaming way. A key challenge in such environment is to increase the utilization of cloud cluster for the high throughput processing. One way of achieving this goal is to optimize the execution of computing jobs on the cluster. We observe that the...
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