The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Cloud Data Center (DC) service orchestration and resource management are important applications of the Software Defined Networking (SDN) paradigm. In this paper, we introduce a novel dynamic allocation strategy for Virtual Machine (VM) allocation called Enhanced multi-objective Worst Fit (E-WF). E-WF combines the multi-objective Best Fit and Worst Fit allocation strategies, and it exploits the history...
With increasing evidence on the breadth and potency of side-channel attacks based on resource sharing, virtual machine (VM) placement in infrastructure cloud services, such as Amazon EC2, has become an important security problem. In this paper, we present a new approach to this problem by letting users specify their own trust profiles, and then incorporating such information into VM placement decisions...
The elastic provisioning of Virtual Infrastructures (VIs) enables a dynamic management of cloud resources (computing and communication) in order to meet the hosted application's requirements. Thus, to perform elasticity requests, providers usually rely on reallocation mechanisms and policies. The concerns regarding the environment and the operational costs indicate energy consumption of the data centers...
Network Functions Virtualization (NFV) is a new network paradigm that has been strongly promoted from both scientific community and telecom industry, where network functions (NFs) such as firewalls, load balancers, gateways among others, are virtualized, isolated from middleboxes and housed on one or more industry standard computing nodes. One of the main challenges for service providers when they...
Although federated cloud computing has emerged as a promising paradigm, autonomous orchestration of resource utilization within the federation is still required to be balanced on the basis of workload assignment at a given time. Such potential imbalance of workload allocation as well as resource utilization may lead to a negative cloudburst within the federation. The analytical models found in the...
Live VM migration is a technique that consists of a selection process and a migration process to migrate a VM from one host to another in the same data center without changing the IP address, or in a different data center with necessity to the VM to get a new IP address. The changing of IP address results into a mobility problem, which may render the service unreachable. In this paper, we propose...
Fault tolerance is a major issue for all storage service providers. Currently, the storage service providers make use of data replication as a method to ensure fault tolerance. In the big data era, relying on data replication for fault tolerance reduces the storage efficiency. Most of the modern applications make use of erasure code based storage systems as an alternative to the data replication....
Recent distributed key-value data stores, such as Aerospike are getting the momentum with ever-increasing need for large-scale real-time data processing. While these data stores can provide significantly improved performance, they still struggle to meet Quality of Service (QoS) during workload surges. In this paper, we address the problem of QoS-aware resource allocation for burst workloads in key-value...
In this paper, we propose a novel QoE-driven centralized scheduling framework to satisfy the differentiated quality of experience (QoE) requirements of cellular users for HTTP-based video streaming transmission. The framework jointly considers the comprehensive information from the video server side (video coding rates and QoE parameters), the user side (video playback buffer occupancy), and the time-varying...
Autonomous mobile robots have been deployed at hospitals to cope with numerous delivery services. Robots deliver items from point to point through autonomous navigation. Conventional robots work individually conducting only one task at a time. This paper proposes a fleet optimization method to maximize the advantages of operating a group of robots concurrently by assigning multiple tasks to a robot...
In green computing and cloud computing require efficiency in consolidating virtual machine without degrading quality of service. This study, focus on minimizing the migration of Virtual Machine to produce lowest power consumption. To achieve this objective, a new algorithm is used to calculate on the fly the Lower and Upper Threshold Limit using Statistical Process Control theory. This new algorithm...
As an emerging technology, Mobile Edge Computing (MEC) is introduced to reduce network delay and provide context-aware services. MEC servers are located in close proximity to users, enabling users to seamlessly access services running on edge facilities. However, capacity and bandwidth constraints of MEC servers limit the number of services to be deployed. Therefore, an important problem is how to...
The increasing heterogeneity of cloud resources, and the increasing diversity of services being deployed in cloud environments are leading to significant increases in the complexities of cloud resource management. This paper presents an architecture to manage heterogeneous resources and to improve service delivery in cloud environments. A loosely-coupled, hierarchical, self-adapting management model,...
Latency-critical workloads such as web search engines, social networks and finance market applications are sensitive to tail latencies for meeting Service Level Objectives (SLOs). Since unexpected tail latencies are caused by sharing hardware resources with other co-executing workloads, a service provider executes the latency-critical workload alone. Thus, the data center for the latency-critical...
Many-Task Computing (MTC) has been a new computing paradigm to address challenging applications that cannot be effectively supported through existing HTC or HPC systems. MTC applications often require a very large number of tasks, relatively short per task execution times, and data-intensive tasks. Each task in MTC applications may require relatively small amount of data processing especially compared...
Virtual machine (VM) consolidation is necessary for increasing the server utilization; however, it also leads to VM performance degradation. This work presents a method to predict the consolidated VMs performance from the critical system events data. Experiments are designed to demonstrate the effect of system events like interrupts, page faults, mutex operations, and context switching on the consolidated...
In cloud computing, the allocation of resources plays a key role in determining the performance, resource utilization and power consumption of the data center. The appropriate allocation of virtual machines in cloud data centers is also one of the important optimization problems in cloud computing, especially when the cloud infrastructure is made of lightweight computing devices. In this paper, we...
The green-house effect has been a major concern for all researchers and big company world-wide. This study reduces the power consumption of single server without degrading the quality of the service by focusing on minimizing the migration of Virtual Machine. Existing migration system for Virtual Machine does not perform well for kinds of load toward single server. Thus, a new algorithm is calculated...
This paper describes an adaptive time-to-live (TTL) allocation scheme based on dynamic caching of content delivery network (CDN). This is advantageous in that when a client watches a real-time private broadcast, the load of the origin server can be efficiently reduced when a certain scene from the past is viewed again, and a storage space of a cache server can be efficiently used. Therefore, the adaptive...
This paper tackles the issue of Data Centers (DCs) energy efficiency by proposing a Self-Adaptive Task Scheduler that proactively allocates incoming tasks to physical servers avoiding the need of consolidation and implicitly avoiding task migration from one server to another. The Self-Adaptive Task Scheduler is based on a MAPE architecture. The monitoring phase aggregates data about resource utilization,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.