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Free elasticity and free CPU power for scientific workloads on IaaS Clouds

Free elasticity and free CPU power for scientific workloads ...

引用

IEEE 18th international Conference on parallel and distributed systems (ICPADS)

作者： Michon, Etienne Gossa, Julien Genaud, Stephane Univ Strasbourg CNRS LSIIT ICPS UMR 7005 F-67400 Illkirch Graffenstaden France

ISBN: (纸本)9781467345651;9780769549033

Recent Infrastructure as a Service (IaaS) solutions, such as Amazon's EC2 cloud, provide virtualized on-demand computing resources on a pay-per-use model. From the user point of view, the cloud provides an inexhaustible supply of resources, which can be dynamically claimed and released. In the context of independent tasks, the main pricing model of EC2 promises two exciting features that drastically change the problem of resource provisioning and job scheduling. We call them free elasticity and free CPU power. Indeed, the price of CPU cycles is constant whatever the type of CPU and the amount of resources leased. Consequently, as soon as a user is able to keep its resources busy, the cost of one computation is the same using a lot of powerful resources or few slow ones. In this article, we study if these features can be exploited to execute bags of tasks, and what efforts are required to reach this goal. Efforts might be put on implementation, with complex provisioning and scheduling strategies, and in terms of performance, with the acceptance of execution delays. Using real workloads, we show that: (1) Most of the users can benefit from free elasticity with few efforts;(2) Free CPU power is difficult to achieve;(3) Using adapted provisioning and scheduling strategies can improve the results for a significant number of users;And (4) the outcomes of these efforts is difficult to predict.

关键词： cloud provisioning resource management

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Task scheduling with Load Balancing for Computational Grid Using NSGA II with Fuzzy Mutation

Task Scheduling with Load Balancing for Computational Grid U...

引用

2nd IEEE international Conference on parallel, distributed and Grid Computing (PDGC)

作者： Salimi, Reza Motameni, Homayun Omranpour, Hesam Tabari Inst Higher Educ Coll Comp Sci Babol Sar Iran Islamic Azad Univ Dept Comp Engn Sari Branch Sari Iran Amirkabir Univ Technol Dept Comp Engn Tehran Iran

ISBN: (纸本)9781467329255;9781467329224

The resources management in a grid computing is a complicated problem. scheduling algorithms play important role in the parallel distributed computing systems for scheduling jobs, and dispatching them to appropriate resources. An efficient task scheduling algorithm is needed to reduce the total Time and Cost for job execution and improve the Load balancing between resources in the grid. In grid computing, load balancing is a technique to distribute workload fairly across computational resources, in order to obtain optimal resource utilization with minimum response time, and avoid overload. Load balancing is a crucial problem to grid computing. In this paper, we address scheduling problem of independent tasks in the market-based grid. In market grids, resource providers can request payment from users based on the amount of computational resource that used by them. Beside we consider Makespan and Load balancing. In this paper, NSGA II with Fuzzy Adaptive Mutation Operator is used to address independent task assignments problems in parallel distributed computing systems. Results obtained proved that our innovative algorithm converges to Pareto-optimal solutions faster and with more quality.

关键词： Task scheduling grid computing Non-dominated Sorting Genetic Algorithm (II) Adaptive Mutation Operator fuzzy logic

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Designing Flexible resource Rental Models for Implementing HPC-as-a-Service in Cloud

Designing Flexible Resource Rental Models for Implementing H...

引用

26th IEEE international parallel and distributed Processing Symposium (IPDPS) / workshop on High Performance Data Intensive Computing

作者： Zhao, Han Li, Xiaolin Univ Florida Dept Comp & Informat Sci & Engn Gainesville FL 32611 USA Univ Florida Dept Elect & Comp Engn Gainesville FL USA

ISBN: (纸本)9780769546766

Due to its ability of delivering virtually unlimited computing power as a metered service, the emerging cloud computing paradigm becomes an attractive option for scientific communities to experiment large-scale resource-demanding applications traditionally deployed in high performance computing (HPC) centers. Planning resource rental is difficult in cloud environment because various parties may have fundamentally different interests. To accommodate such diverse heterogeneity, designing flexible resource rental models for multiple parties in the cloud market becomes a challenging issue. In this study, we investigate the problem of designing flexible resource rental models for implementing HPC-as-a-Service in cloud market. First, from the perspective of resource customers, we present cost-effective resource rental planning models to better utilize on-demand and spot resources in cloud. Next, we approach the problem from the perspective of resource providers, and propose a novel service scheduling model for a multi-tenant cloud resource sharing platform. The remaining work to complete the PhD dissertation is then presented. The proposed research highlights flexibility for resource rental planning in the following two aspects. (1) Flexibility for resource customers ensures them to deploy elastic HPC applications taking most advantage of both fixed-price on-demand resources and dynamic spot resources. (2) Flexibility for resource providers accommodates differentiated service requirements from various customers and achieves efficient HPC service scheduling. We believe that the proposed work presented in this paper offers a novel means to address the need for flexible resource rental models in cloud, and sheds light on future research in the broad area of resource management in cloud computing.

关键词： Property Leasing High Performance Computing Research Proposal Cloud Computing Perspective scientific community

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Hardware-assisted Decentralized resource management for Networks on Chip with QoS

Hardware-assisted Decentralized Resource Management for Netw...

引用

26th IEEE international parallel and distributed Processing Symposium (IPDPS) / workshop on High Performance Data Intensive Computing

作者： Heisswolf, Jan Zaib, Aurang Weichslgartner, Andreas Koenig, Ralf Wild, Thomas Teich, Juergen Herkersdorf, Andreas Becker, Juergen Karlsruhe Inst Technol Karlsruhe Germany Tech Univ Munich Munich Germany Univ Erlangen Nurnberg Erlangen Germany

ISBN: (纸本)9780769546766

Networks-on-Chip have shown their scalability for future many-core systems on chip. In real world scenarios, concurrent applications with different QoS requirements affect each other through overlapping communication. Therefore computation resources may not be efficiently utilized because the required communication resources are already occupied. Hence, an efficient resource management strategy is required that ensures fair sharing of communication resources between applications. Decentralized strategies provide better scalability in many-core systems. In this paper, we propose a hardware supported decentralized NoC resource management strategy. Our concept enables to define NoC regions through decentralized reconfigurable resource management policies. It offers improved performance and communication resource allocation within the regions. The proposed concept is investigated through simulation of real world application scenarios. The simulation results highlight the performance benefit within the region and the increased probability for successful reservation of communication resources. Implementation results show the low area overhead of the proposed hardware support.

关键词： communication resources management of resources Quality of service Decentralized network-on-chip Scalability Computer hardware Simulation results

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A QoS scheduling Scheme with Availability Constraint in distributed systems

A QoS Scheduling Scheme with Availability Constraint in Dist...

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13th international Conference on parallel and distributed Computing, Applications, and Technologies (PDCAT)

作者： Tong, Zhao Li, Kenli Xiao, Zheng Qin, Xiao Hunan Univ Coll Informat Sci & Engn Changsha 410082 Hunan Peoples R China Auburn Univ Dept Comp Sci & Software Engn Auburn AL USA

ISBN: (纸本)9780769548791

An efficient resource management mechanism is important in a heterogeneous system to discover available resources, to allocate an appropriate subset of resources to applications, and to map data or tasks onto selected resources. The key component, tasks scheduling, draws our attention. Makespan is the principal concern many existing researches. But, other QoS requirements are also important in more and more realistic applications. Like Grid service it is expected that the service provider be reliable, robust, or highly available. In this study, an existing availability-aware scheduling model called SSAC is investigated first. Then, we proposed an optimization approach to increase the availability and to reduce the makespan of tasks running in heterogeneous systems. Three quantitative conditions are used to guide the optimization. Our experimental results show that compared with three existing solutions (Minmin, SSAC and ACO), our algorithm significantly improves the availability and performance of multiclass tasks running in heterogeneous systems.

关键词： Heterogeneous systems Task scheduling QoS scheduling Availability

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VM Performance Isolation to support QoS in Cloud

VM Performance Isolation to support QoS in Cloud

引用

26th IEEE international parallel and distributed Processing Symposium (IPDPS) / workshop on High Performance Data Intensive Computing

作者： Silva, Marcio Ryu, Kyung Dong Da Silva, Dilma IBM TJ Watson Res Ctr Yorktown Hts NY USA

ISBN: (纸本)9780769546766

An increasing number of business workloads are being migrated to the cloud. Recently, cloud providers have been improving the stability and consumability of their systems and offering cost efficiency through utility-like pricing model and dynamic resilience. However, providing performance isolation and quality of services for performance-sensitive enterprise workloads remains a challenge. In this paper, we propose a scheme to achieve performance isolation of collocated VMs through resource bounding, named Fine-grain Virtual resource Control (FVRC), and introduce a simple yet effective QoS classification built on top of the FVRC framework. Our preliminary experiments with a KVM-based implementation show that CPU and network bandwidth can be accurately controlled and meet consistent QoS requirements while disk bandwidth control still needs improvement.

关键词： Quality of Service resource management Virtualization Cloud Computing

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Conflict Avoidance scheduling using Grouping List for Transactional Memory

Conflict Avoidance Scheduling using Grouping List for Transa...

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26th IEEE international parallel and distributed Processing Symposium (IPDPS) / workshop on High Performance Data Intensive Computing

作者： Choi, Dongmin Kim, Seung Hun Ro, Won W. Samsung Elect Div Mobile Commun Gumi Gyeongbuk South Korea Yonsei Univ Sch Elect & Elect Engn Seoul South Korea

ISBN: (纸本)9780769546766

Conventional Transactional Memory (TM) systems may experience performance degradation in applications with high contention, given the fact that execution of transaction will frequently restart due to conflicts. The restarting of transaction essentially requires rollback that is a wasteful operation. To address this point, we developed a system to reduce the overhead caused by high contention. In this paper, we present a method called Conflict Avoidance scheduling (CAS), which prevents the conflicts in high contention by use of conflict characteristic. In CAS, threads that execute transactions which have high probability of conflicts are grouped together. Based on the group information, concurrent execution of threads in the same group is restricted. Therefore, threads that may cause conflict are serially executed. We evaluate the performance of the proposed design by comparing it with LogTM-SE. The simulation results show that our system improves the performance by 23% on an average in applications with high contention, as compared with the conventional LogTM-SE.

关键词： Transactional Memory Contention management Conflict Avoidance scheduling High Contention

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Intelligent distributed Computing VI: Proceedings of the 6th international Symposium on Intelligent distributed Computing - IDC 2012, Calabria, Italy, ... 2012

引用

2012年

作者： Giancarlo Fortino Costin Bădică Michele Malgeri Rainer Unland

ISBN: (纸本)9783642325236

This book represents the combined peer-reviewed proceedings of the Sixth international Symposium on Intelligent distributed Computing -- IDC~2012, of the international workshop on Agents for Cloud -- A4C~2012 and of the Fourth international workshop on Multi-Agent systems Technology and Semantics -- MASTS~2012. All the events were held in Calabria, Italy during September 24-26, 2012. The 37 contributions published in this book address many topics related to theory and applications of intelligent distributed computing and multi-agent systems, including: adaptive and autonomous distributed systems, agent programming, ambient assisted living systems, business process modeling and verification, cloud computing, coalition formation, decision support systems, distributed optimization and constraint satisfaction, gesture recognition, intelligent energy management in WSNs, intelligent logistics, machine learning, mobile agents, parallel and distributed computational intelligence, parallel evolutionary computing, trust metrics and security, scheduling in distributed heterogenous computing environments, semantic Web service composition, social simulation, and software agents for WSNs.

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Fairness resource sharing for dynamic workflow scheduling on heterogeneous systems

Fairness resource sharing for dynamic workflow scheduling on...

引用

2012 10th IEEE international Symposium on parallel and distributed Processing with Applications, ISPA 2012

作者： Arabnejad, Hamid Barbosa, Jorge Departamento de Engenharia Informática Faculdade de Engenharia Universidade Do Porto Rua Dr. Roberto Frias 4200-465 Porto Portugal

ISBN: (纸本)9780769547015

For most Heterogeneous Computing systems (HCS) the completion time of an application is the most important requirement. Many applications are represented by a workflow that is therefore schedule in a HCS system. Recently, researchers have proposed algorithms for concurrent workflow scheduling in order to improve the execution time of several applications in a HCS system. Although, most of these algorithms were designed for static scheduling, that is all application must be submitted at the same time, there are a few algorithms, such as OWM (online workflow management) and RANK\-HYBD, that were presented for dealing with dynamic application scheduling. In this paper, we present a new algorithm for dynamic application scheduling. The algorithm focus on the Quality of Service (QoS) experienced by each application (or user). It reduces the waiting and execution times of each individual workflow, unlike other algorithms that give privilege to average completion time of all workflows. The simulation results show that the proposed approach significantly outperforms the other algorithms in terms of individual response time. © 2012 IEEE.

关键词： Quality of service

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Addressing QoS in grids through a fairshare meta-scheduling in-advance architecture

Addressing QoS in grids through a fairshare meta-scheduling ...

引用

2012 7th international Conference on P2P, parallel, Grid, Cloud and Internet Computing, 3PGCIC 2012

作者： Tomás, Luis Östberg, Per-Olov Caminero, Blanca Carrión, Carmen Elmroth, Erik Dept. of Computing Systems University of Castilla-La Mancha Campus Universitario S/n 02071 Albacete Spain Dept. of Computing Science Umeå University SE-901 87 Umeå Sweden

Federated Grid resources typically span multiple administrative domains and utilize heterogeneous schedulers. This complexity complicates not only provisioning of quality of service but also management and enforcement of end-user resource utilization allocations. to overcome these problems, we propose to combine high-level meta-scheduling techniques with lower-level fairs hare prioritization mechanisms to create a framework that improves end-user quality of service in heterogeneous distributed computing environments. to illustrate the approach we present a prototype architecture based on two existing systems, the meta-scheduling framework SA-Layer and the distributed fairs hare prioritization system Aequus. the proposed architecture constitutes a predictive meta-scheduling architecture that performs fair user-level scheduling prioritization and enacts resource utilization quotas, whilst also providing synergetic effects that improve the performance of the individual system components. to characterize the contribution, the proposed system is evaluated on a test bed consisting of geographically dispersed, heterogeneous computing resources spanning multiple administration domains. © 2012 IEEE.

关键词： Quality of service

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