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In utility computing models, users consume services based on their Quality of Service (QoS) requirements. QoS provides a basis for task scheduling, but it also makes task scheduling problems more complex. In this paper, we present a heuristic scheduling algorithm, named Budget-Deadline Constrained Workflow Scheduling (BDCWS). The algorithm calculates the task priority by a new method to balance the...
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...
This paper presents the performance of scheduling for adaptive modulation and coding based on the dynamic margin control. To cover various wireless channel conditions and requirements for multimedia traffic QoS, the selection of suitable MCS (Modulation and Coding Scheme) is important technique in real deployment and management fields. In this paper, we propose dynamic margin control schemes based...
Personnel scheduling problems are widely studied both by the scientific community and by the human resource managers of the companies. The financial impact of the decisions, the welfare of the employees, or more subjective concepts like “fairness” and “balance”, turn this case into much more than just a routine problem. When it comes to medical personnel scheduling, additional difficulties can be...
In this paper, we introduce a utility driven strategy to schedule concurrent workflows constrained to user's QoS parameters, namely Deadline and Budget. The Multi-Workflow Deadline-Budget Scheduling algorithm (MW-DBS) can schedule multiple workflows that can arrive to the system at any instant of time, with the aim of satisfying individual QoS requirements. Common approaches optimize one factor, e...
In a mobile crowd sensing system, a smartphone undertakes many different sensing tasks that demand data from various sensors. In this paper, we consider the problem of scheduling different sensing tasks assigned to a smartphone with the objective of minimizing sensing energy consumption while ensuring Quality of SenSing (QoSS). First, we consider a simple case in which each sensing task only requests...
In this paper, we propose a fair allocation scheduling algorithm using linear programming, where resource allocation is a function of dynamic queue-sizes of heterogeneous traffic classes and delays of the projected traffic categories. The delay is managed in a manner that the delay-sensitive traffic will be given priority over the delay-tolerant traffic, while still meeting the delay bound and maximum...
Grid computing promotes resource sharing, dynamic computational resource allocation, distributed data access from disjoint application domains and allowing various service providers to meet different demands efficiently. With an increase of user demands to the resources, planning the guaranteed Quality of Service (QoS) is a challenging task. The objective of this paper is to propose an agent based...
The growth of different types of applications in the Internet arises the need for supporting Quality of Service (QoS) for them. Differentiating services aims to differentiate among applications in order to provide their requirements based on the level of QoS they need and their characteristics. In this paper we introduce a dynamic QoS-Aware queuing algorithm to differentiate services in IP basednetworks,...
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...
With the conglomeration of large-scale heterogeneous systems, the grid computing environment makes the whole network into a powerful and reliable resource available nearly everywhere. Resource scheduling is a fundamental issue in grid computing. For this NP-hard problem, we take into account of the geographic distribution of resources and the requirement of job entity in the scheduling algorithm....
In this paper, the fuzzy logic-based decision algorithm is proposed for queue scheduling. This algorithm is employed to determine the optimal values for achieving fairness control for each queue-type serviced. It takes into account the dynamic nature of the internet traffic as regards to its time-varying packet arrival process that affects the network states and performance. In order that the fairness...
Orthogonal Frequency Division Multiple Access (OFDMA), Multiple Input Multiple Output (MIMO), and Adaptive Modulation and Coding (AMC) are advanced signal processing techniques introduced in the wireless 3GPP LTE standard. In MIMO-OFDMA system, by taking advantage of the spatial dimension and depending on the time-varying wireless channel condition, the most efficient modulation and coding with spatial...
Job scheduling problem is a core and challenging issue in cloud computing. It is impossible to predict the job execution time in cloud environment. Hence the scheduler must be dynamic. Parallel job scheduling strategies like EASY, conservative backfill algorithms are failed to fill the resource gap fully. In combinational backfill algorithm (CBA) small jobs are getting high priority. To achieve QOS...
Grid computing comprises of distributed computer systems which are geographically dispersed to share the combination of resources in a heterogeneous environment. Grid computing is one of the latest technologies to solve very complex problems in scientific applications, using the resource sharing concept in the dynamic virtual organizations. The main problem occurs in most of the organization is that...
The influence of the uncertain or malicious service nodes on the Web service composition (WSC) performance is generally fatal in the Internet, so the problems of services selecting for WSC can not be completely solved by the perspective of performance. In the paper, the two-tier model of reputation computing, which describes the credibility evolution mechanism of the inter-entity relations in the...
In this paper, an admission control (AC) scheme is proposed for handling multiclass Grade of Service (GoS) and Quality of Service (QoS) in Uplink Long Term Evolution (LTE) systems. GoS requirement in conjunction with QoS has been seldom taken into account in previous admission control and resource allocation algorithms for LTE uplink. We propose a novel algorithm for handling the priorities while...
We consider the problem of cross-layer resource allocation in time-varying cellular wireless networks, and incorporate information theoretic secrecy as a Quality of Service constraint. Specifically, each node in the network injects two types of traffic, private and open, at rates chosen in order to maximize a global utility function, subject to network stability and secrecy constraints. The secrecy...
Next-generation real-time systems will be increasingly based on heterogeneous MPSoC design paradigms, where predictability and performance will be key issues to deal with. Such issues can be tackled both at the hardware level, by embedding technologies such as TDMA busses, and at the OS level, where suitable scheduling techniques can improve performance and reduce energy consumption. Among these,...
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