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The Quay Crane Scheduling Problem (QCSP) is a major concern in ports and container terminals. It aims to minimize vessels and quay completion time by organizing the sequence of loading and unloading processes. The formulation is developed for the QCSP by taking into consideration a berth with multiple vessels and the solution methodology is presented for a numerical example using the General Algebraic...
Grid computing, was developed by computer scientists in the mid 1990's based on ease of use and access geographically distributed resources which are dynamic and heterogeneous for solving difficult problems. These distributed resources are owned by different organizations. Grid computing provides a framework for parallel/distributed computing. For developing a grid, low-level services (secure access...
In data centers, many tasks (services, virtual machines or computational jobs) share a single physical machine. We propose a new resource management model for such colocation. Our model uses two parameters of a task -- its size and its type -- to characterize how a task influences the performance of the other tasks allocated on the same machine. As typically a data~center hosts many similar, recurring...
This paper aims at the development of a cloud services provisioning framework by developing a dynamic priority job scheduler cum load-balancer for the cloud. The main motive of this paper is to provide a means of managing the job requests in a flexible and cost-effective way, both for the customer and the cloud service provider. In order to make the cloud scalable and adaptable to the changing needs...
The advent of cloud computing has changed the way many companies do computation, allowing them to outsource it to the cloud. This has given origin to a new kind of business, the cloud providers, which run large datacenters. In order to be competitive, cloud providers must keep the energy consumed by the datacenter low. One way to achieve this is with smart task assignment algorithms, which decide...
Distributed system is a set of resources interconnected by a network. Grid computing systems are distributed system designed by integrating heterogeneous resources with different characteristics. These heterogeneous computing resources are designed for highly complex programs that require high processing power and huge volume of input data. Large scale applications such as meteorological simulations,...
When energy storage units (ESUs) within the distribution grid, e.g. batteries, provide local services such as PV integration support, peak shaving, and infrastructure upgrade deferral, they are inactive or only partially used most of time. Moreover, they are often not profitable because of their high investment costs. Their unused capacities could be used to provide power system services, such as...
It is significant to apply load-balancing strategy to improve the performance and reliability of resource in data centers. One of the challenging scheduling problems in Cloud data centers is to take the allocation and migration of reconfigurable virtual machines (VMs) as well as the integrated features of hosting physical machines (PMs) into consideration. In the reservation model, workload of data...
Fairshare is commonly one of the factors used by cluster resource management systems to prioritize jobs during scheduling. Despite the grid vision of a transparent and unified infrastructure, fairshare is normally calculated and enforced at the local cluster level rather than at a grid-wide scale. Aequus is a self-contained decentralized system for grid-wide fairshare job prioritization. Using Aequus,...
This paper discusses the workload utilization dissemination for grid computing. The CPU is a well-known resource item and it is an integral part in most literatures while other RI's may include memory, network and I/O overhead. The selection of resource variables and the number of RI's involved will result in different definitions of the workload. Various combination of computer RI's have been explored...
Divisible Load Theory (DLT) has received a lot of attention in the past decade. A divisible load is a perfect parallel task, that can be split arbitrarily and executed in parallel on a set of possibly heterogeneous resources. The success of DLT is strongly related to the existence of many optimal resource allocation and scheduling algorithms, what strongly differs from general scheduling theory. Moreover,...
LTE-Advanced is the evolutionary path from LTE Release 8. It is designed to significantly enhance the performance of LTE Release 8 in terms of higher peak data rates, improved system capacity and coverage, and lower latency. These enhancements allow LTE-Advanced to meet or exceed the IMT-Advanced requirements and are being considered as part of LTE Release 10. In this paper, some of the physical layer...
The performance of non-contiguous allocation can be significantly affected by the job scheduling strategy used for determining the order in which jobs are selected for execution. In this paper, the performance of the well-known Greedy Available Busy List (GABL) non-contiguous allocation strategy for 2D mesh-connected multicomputers is re-visited considering several important job scheduling strategies...
Divisible load applications occur in many fields of science and engineering. Such applications can be easily parallelized in a master-worker fashion, but pose several scheduling challenges. In this paper we investigate the scheduling problem for processing a set of tasks comprising both divisible and indivisible tasks on cluster systems. Indivisible loads are characterized by the property that they...
The objective of the work is to propose a resource discovery model for distributed resources using grid brokering and dispute solving techniques in a grid environment. The synchronization between local and external schedulers and the effective utilization of the available resources can be achieved by dispute solving with periodical resource auditing processes by an agent technique. The discovery of...
In this paper the new grid task attemper is discussed. It join with role layer resource organize, role working flow, role collaboration and grid computing, It can decompose the complicated tactics computational task into little blocks and assign to many computers to complete cooperatively and synchronously, which was originally done by only one computer, such questions as poor speed, high request...
Resource Discovery and Resource Selection are the crucial tasks in grid scheduling and resource management. The goal of resource discovery and selection is to identify list of authenticated resources that are available in the grid for job submission and to choose the best node. Recently adaptive push-pull method was proposed for information dissemination of information for dynamic web data. In this...
Grid and cloud schedulers benefit from predictable service for their choices in allocating jobs on remote servers/clusters. Predictable service on local clusters supports fairness and user satisfaction. The paper looks into servers that employ batch scheduling and support time sharing and/or space partitioning of the available resources among different parallel-job workloads. This provides the basis...
In the further advancements for the third generation (3G) long-term evolution (LTE) system, i.e. the LTE-Advanced system, carrier aggregation (CA) is applied to support wide system bandwidth and ensure backward compatibility. In this paper, two traffic load balance methods are proposed to improve the performance of the independent carrier scheduling (ICS) scheme in CA based LTE-Advanced system with...
Grid users may experience inconsistent performance due to specific characteristics of grids, such as fluctuating workloads, high failure rates, and high resource heterogeneity. Although extensive research has been done in grids, providing consistent performance remains largely an unsolved problem. In this study we use overdimensioning, a simple but cost-ineffective solution, to solve the performance...
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