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Nowadays, cloud computing has emerged as the most popular computing platform due to its ability to reduce the operating costs. A sizable chunk of the operating costs is composed of power consumption of the cloud data center alone. It has been observed that improperly sized virtual machines result in comparatively higher power consumption. Although efforts have been made to address the issue of high...
Fog computing preserves benefits of cloud computing and is strategically positioned to address effectively many local and performance issues because its resources and specific services are virtualized and located at the edge of the customer premises. Resource management is a critical issue affecting system performance significantly. Due to the complex distribution and high mobility of fog devices,...
Finding an appropriate resource to host the next application to be deployed in a Cloud environment can be a non-trivial task. To deliver the appropriate level of service, the functional requirements of the application must be met. Ideally, this process involves filtering the best resource from a number of possible candidates, whilst simultaneously satisfying multiple objectives. If timely responses...
Cloud computing is one of the emerging technology which is rapidly developing nowadays in the current environment. The Large Scale Organizations are shifting their databases to cloud due to the various services provided by the Cloud Platforms. IAAS is the one of the services which is intended to provide the Client Centric Service to the client as per their need. Large amount of Virtual Machines (VM)...
The cloud computing system (CCS) is with large scale and complex structure. Benefited from its enabling technology, virtualization, the CCS has the characteristics of elastic, providing on-demand service according to resource scheduling strategy. Different resource scheduling strategies lead to different operation hours, which have different effects on the reliability of cloud computing infrastructure...
Coflow scheduling without prior knowledge has been proposed recently. However, the previous solution, Aalo, has two problems: it does not explicitly control the flow rate; it assumes the network is ideally non-blocking (with perfect traffic balancing and no oversubscription). In this paper, we show the performance loss caused by the above two problems. We propose EAalo to cope with the problems. It...
A scalable, low-latency, high-speed, and energy-efficient datacenter network represents a key element in the deployment of cloud-oriented large-scale datacenters. Photonic switch (PS) architectures can be a solution due to the inherent benefits of optical technology. In this study, we numerically investigate the performance of a packet-switched optical network (PSON) architecture with centralized...
Clouds have been increasingly adopted due to primarily their elasticity and pay-as-you-go (PAYG) pricing. While many organizations outsource the entire ICT solution to public clouds like Amazon Web Services Elastic Compute Cloud (EC2), others consider occasional workload offloading (cloud bursting) due to various reasons including governance and security. In this paper, we present Cloud Bursting Scheduler...
Nowadays many companies and organizations choose to deploy their applications in data centers to leverage resource sharing. The increase in tasks of multiple applications, however, makes it challenging for a data center provider to maximize its revenue by intelligently scheduling tasks in software-defined networking (SDN)-enabled data centers. Existing SDN controllers only reduce network latency while...
There is a growing need for in-memory database analytic services, especially in cloud settings. Concurrent query execution is common in such environments. A crucial deployment requirement is to employ a concurrent query execution scheduling framework that is flexible, precise, and adaptive to meet specified deployment goals. In addition, the framework must also aim to use all the underlying hardware...
Adoption of Cloud Computing is on the rise[1] and many datacenter operators adhere to strict energy efficiency guidelines[2]. In this paper a novel approach to scheduling in a Cloud Computing context is proposed. The algorithm Maxmin Fast Track (MXFT) revises the Max-min algorithm to better support smaller tasks with stricter Service Level Agreements (SLAs), which makes it more relevant to Cloud Computing...
Cloud computing and its pay-as-you-go model continue to provide significant cost benefits and a seamless service delivery model for cloud consumers. The evolution of small-scale and large-scale geo-distributed datacenters operated and managed by individual cloud service providers raises new challenges in terms of effective global resource sharing and management of autonomously-controlled individual...
Erasure-coded storage systems have gained considerable adoption recently since they can provide the same level of reliability with significantly lower storage overhead compared to replicated systems. However, background traffic of such systems - e.g. repair, rebalance, backup and recovery traffic - often has large volume and consumes significant network resources. Independently scheduling such tasks...
A fleet of autonomous mobile robots are used in the hospital for the delivery service. To increase the efficiency of using multiple robots, an appropriate task allocation algorithm is required. This paper explains the task allocation procedure for multiple robots and introduces two multi-task allocation (MT) algorithms to be applied in the hospital delivery service. The algorithms are tested via simulation,...
We address online scheduling for servers of Cloud service providers. Each server is composed of several variable-speed processors whose power function is convex. The servers may be busy, idle or switched off. The objective of our scheduling is to minimize the energy consumed by a Cloud computing platform. To achieve this goal, we try to anticipate computing demands by predicting a workload, then we...
The pressure to maintain (or increase) the level of competitiveness in companies leads to an ever-increasing requirement for effective management supported by the variety of existing resources, which tend to interfere into the work of the manager. Particularly, in the case of waiting queues, the most relevant aspect is the combination of the number of multitasking servers assigned to attend and the...
The ever increasing demand for Internet traffic, storage and processing requires an ever increasing amount of hardware resources. In addition to this, infrastructure providers over-provision system architectures to serve users at peak times without performance delays. Over-provisioning leads to underutilization and thus to unnecessary power consumption. Therefore, there is a need for workload management...
The cost of grid energy of cloud providers rises greatly due to the growing number of Internet services. Therefore, researches on energy-efficient cloud data centers (ECDCs) are increasingly focused on the effective use of renewable energy instead of brown energy for environmental protection. Because of the temporal difference in price of grid, solar irradiance and wind speed, it is difficult to satisfy...
This article presents a new model and a resolution algorithm, based on Tabu Search, for the assignment of Virtual Machines (VMs) to servers in a data center. We propose a Mixed Integer Programming (MIP) model that optimizes the Quality of Service (QoS) and power consumption of applications, taking into account their communication traffic and dynamic aspects. A hierarchic method and a Tabu Search heuristic...
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...
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