Journal ArticleDOI
CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
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TLDR
The result of this case study proves that the federated Cloud computing model significantly improves the application QoS requirements under fluctuating resource and service demand patterns.Abstract:
Cloud computing is a recent advancement wherein IT infrastructure and applications are provided as ‘services’ to end-users under a usage-based payment model. It can leverage virtualized services even on the fly based on requirements (workload patterns and QoS) varying with time. The application services hosted under Cloud computing model have complex provisioning, composition, configuration, and deployment requirements. Evaluating the performance of Cloud provisioning policies, application workload models, and resources performance models in a repeatable manner under varying system and user configurations and requirements is difficult to achieve. To overcome this challenge, we propose CloudSim: an extensible simulation toolkit that enables modeling and simulation of Cloud computing systems and application provisioning environments. The CloudSim toolkit supports both system and behavior modeling of Cloud system components such as data centers, virtual machines (VMs) and resource provisioning policies. It implements generic application provisioning techniques that can be extended with ease and limited effort. Currently, it supports modeling and simulation of Cloud computing environments consisting of both single and inter-networked clouds (federation of clouds). Moreover, it exposes custom interfaces for implementing policies and provisioning techniques for allocation of VMs under inter-networked Cloud computing scenarios. Several researchers from organizations, such as HP Labs in U.S.A., are using CloudSim in their investigation on Cloud resource provisioning and energy-efficient management of data center resources. The usefulness of CloudSim is demonstrated by a case study involving dynamic provisioning of application services in the hybrid federated clouds environment. The result of this case study proves that the federated Cloud computing model significantly improves the application QoS requirements under fluctuating resource and service demand patterns. Copyright © 2010 John Wiley & Sons, Ltd.read more
Citations
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Journal ArticleDOI
Formal modeling and analysis of resource management for cloud architectures: an industrial case study using Real-Time ABS
Elvira Albert,Frank S. de Boer,Reiner Hähnle,Einar Broch Johnsen,Rudolf Schlatte,S. Lizeth Tapia Tarifa,Peter Y. H. Wong +6 more
TL;DR: This case study demonstrates by a case study of an industrial distributed system how performance, resource consumption, and deployment on the cloud can be formally modeled and analyzed using the abstract behavioral specification language Real-Time ABS.
Journal ArticleDOI
An ACO-LB Algorithm for Task Scheduling in the Cloud Environment
TL;DR: A ACO-LB(Load balancing optimization algorithm based on ant colony algorithm) algorithm to solve the load imbalance of virtual machine in the process of task scheduling and it will not only shorten the makespan oftask scheduling, but also maintain the load balance of virtual machines in the data center.
Journal ArticleDOI
Resource-Aware Detection and Defense System against Multi-Type Attacks in the Cloud: Repeated Bayesian Stackelberg Game
TL;DR: Experiments conducted using Amazon’s datacenter and Amazon Web Services honeypot data reveal that the proposed solution maximizes the detection, minimizes the number of attacked services, and runs efficiently compared to the state-of-the-art detection and defense strategies, namely Collabra, probabilistic migration, Stackelberg, maxmin, and fair allocation.
Journal ArticleDOI
Virtual machine consolidation enhancement using hybrid regression algorithms
TL;DR: A multiple regression algorithm is developed that uses CPU utilization, memory utilization and bandwidth utilization for host overload detection and significantly reduces energy consumption while ensuring a high level of adherence to Service Level Agreements (SLA).
Journal ArticleDOI
Open-source simulators for Cloud computing: Comparative study and challenging issues
TL;DR: To understand and apply better the state-of-the-art of Cloud computing simulators, and to improve them, four known open-source simulators are studied.
References
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The Grid 2: Blueprint for a New Computing Infrastructure
Ian Foster,Carl Kesselman +1 more
TL;DR: The Globus Toolkit as discussed by the authors is a toolkit for high-throughput resource management for distributed supercomputing applications, focusing on real-time wide-distributed instrumentation systems.
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Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility
TL;DR: This paper defines Cloud computing and provides the architecture for creating Clouds with market-oriented resource allocation by leveraging technologies such as Virtual Machines (VMs), and provides insights on market-based resource management strategies that encompass both customer-driven service management and computational risk management to sustain Service Level Agreement (SLA) oriented resource allocation.
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The GRID: Blueprint for a New Computing Infrastructure
TL;DR: The main purpose is to update the designers and users of parallel numerical algorithms with the latest research in the field and present the novel ideas, results and work in progress and advancing state-of-the-art techniques in the area of parallel and distributed computing for numerical and computational optimization problems in scientific and engineering application.
Journal ArticleDOI
GridSim: a toolkit for the modeling and simulation of distributed resource management and scheduling for Grid computing
Rajkumar Buyya,Manzur Murshed +1 more
TL;DR: This work states that clusters, Grids, and peer‐to‐peer (P2P) networks have emerged as popular paradigms for next generation parallel and distributed computing and introduces a number of resource management and application scheduling challenges in the domain of security, resource and policy heterogeneity, fault tolerance, continuously changing resource conditions, and politics.
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