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Cloud computing is attracting an increased number of researches in delivering modeling and simulation abilities as a service. Among which, simulation execution as a service (EaaS) is a hot spot. It aims at releasing users from complex running configurations and meanwhile guaranteeing the QoS requirements. Under the motivation, focusing on EaaS for parallel and distributed simulation (PADS) application,...
Cloud computing employs parallel and distributed computing concepts to provide users with shared resources through the internet. One of the most important issues which are raised in a cloud environment is task scheduling on existing resources; so that on the one hand it can provide user's requirements, such as minimum run time or cost and on the other hand with the proper use of resources, can also...
Today, Cloud Computing provides many technological oriented applications distributed over the internet. Cloud Computing facilitate tremendous changes in the IT world, to increases the maximum profits from this new platform. In IT industry everyday new applications coming up and increases the complexity of scheduling process. For this purpose, job scheduling plays a most important responsibility in...
Cloud computing has emerged as a new marketoriented business model for elucidating large-scale problems in heterogeneous distributed systems. It provides defended, rapid, beneficial data storage and computing power with the assistance of internet. Cloud provides on-demand services for different QoS requirements of different users. So, scheduling the services is wearying one. In this paper, we proposed...
In cloud computing, scheduling plays a critical role for quality of service (QoS) and provider efficiency which are generally measured by several metrics and make the scheduling a multiobjective problem (MOP). In this paper, we propose a differential evolution algorithm with double-level archives (DE-DLA) for bi-objective cloud task scheduling. The proposed algorithm is based on the newly-developed...
A major requirement of cloud block storage services is guaranteed performance and high availability. However, offering guaranteed Service Level Agreements (SLAs) in cloud block storage services is often not straightforward. Cloud block storage performance may be affected by physical disk background operations, like garbage collection, storage cluster features, workload interference and the chraracteristcs...
Cloud Computing is a major area of research. Cost and Load balancing has become an important QoS parameter. Load Balancing directly affects the Reliability, Response Time, Throughput and Energy Efficiency of a Server. A good Load Balanced architecture implies minimized overall time, less server failure, minimized response time, increased throughput and less wastage of energy. Such architecture also...
The era of cloud based multimedia applications has lead to a huge increase in the no. of requests on cloud. The increased no. of requests on cloud leads to an increased workload, making workload balancing an important QoS Parameter. Workload Balancing also leads to a judicious use of resources like electricity etc. and thus promotes the concept of Green IT. The paper presents a new Load Balanced Resource...
Long Term Evolution (LTE) is a breakthrough in broadband technology which aims to support several high level quality and real time multimedia services for the mobile users. This paper proposes a resource block preserver (RBP) scheduling algorithm which optimizes the performance of the downlink transmission system in LTE network. The resource block preserver algorithm has two layers, upper and lower...
Cloud computing is a computing model based on Internet and computer technology. With the rapid development of cloud computing, scheduling of computing resources is more and more important to cloud systems. Most of the existing researches concerned resource allocation as a problem of task scheduling which is a paradigm of cloud service. In this paper, we consider another paradigm that is user-oriented...
In an optical network research community needs optimized scheduling algorithm to achieve high speed communication. The previous algorithms are providing the un-optimized solution. In this paper contributes the novel method to realize the optimal solution to support variable length of packet in priority based multi scheduling through fuzzy and assignment method. Fuzzy is used to reduce the total space,...
In multihop NGEO satellite network (MSN), given the un-uniform user distribution in satellite footprints, and further affected by topology variations and link capacity jitters, the inter-satellite links (ISLs) are expected to endure wildly volatile traffic load and even suffer from severe congestion. This leads to the poor quality of service (QoS) for the delay-sensitive flows. To alleviate this problem,...
This paper proposes an improved QoS scheduling scheme, called the Modified Proportional Fairness with Multi-Hop (MPF-MH) algorithm for Cognitive Radio Mobile Ad Hoc Networks (CR MANET). Within the context of multi-channel MAC enabled networks, mobile nodes can experience simultaneous transmission across multiple channels. Benefiting from the proposed cross layer design, the real-time channel conditions...
Grid is a distributed infrastructure which allows large scale resources sharing and system integration. Task scheduling in grid becomes more complicated when strategy needs to combine user's QoS with system's computing performance. On the basis of analysing classic Min-min heuristic, an improved task scheduling algorithm using triangle module operator to integrate user's QoS with system's computing...
Long Term Evolution (LTE) has been proposed as a promising radio access technology to bring higher peak data rates and better spectral efficiency. However, scheduling and resource allocation in LTE still face huge design challenges due to their complexity. This paper divides the complex problem into three sub-problems: scheduling pattern, scheduling priority and quantity of scheduled data. Based on...
In this paper, we investigate call admission control (CAC) with opportunistic scheduling and propose a novel CAC algorithm for users with quality of service (QoS) requirements. Our main contribution is threefold. First, we verify that, compared with several other scheduling schemes, cumulative distributed function based scheduling (CS) makes the best tradeoff between efficiency and fairness in full-load...
For repairable flow networks with complex topology, a simple and efficient algorithm is proposed for minimising the lost flow due to component failures during a specified time interval, at a specified output flow rate. The algorithm is based on two fundamental properties of repairable flow networks which involve the new concept 'specific resistance of a flow path'. The developed algorithm can be applied...
Modern wireless networks, such as WiMAX or LTE are using OFDM/OFDMA as the enabling technologies for broadband transmission in cellular environments with QoS capabilities. In these networks, such schema as radio resource management, admission control, scheduling are essential. In this article we firstly introduce a Time-Frequency Burst Mapping algorithm for radio resource management that improves...
Mobile WiMAX's scheduling service is a key factor in Radio Resource Management (RRM) in realizing Quality of Service (QoS). The choice in scheduling algorithm for Mobile WiMAX base stations, albeit outside of the scope of the standard, critically impacts the performance and robustness of Mobile WiMAX networks. This paper provides an in-depth study of four major scheduling algorithms: Round Robin (RR),...
We consider wireless femtocell networks where scheduling of transmissions is coordinated across multiple cells to mitigate interference and deliver fairness and quality of service (QoS). Coordination across multiple cells entails (i) exchange of (serving and interfering) channel information and traffic priority (which is a function of packet delays, average rate, queue length), and (ii) signalling...
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