We report on design, implementation and evaluation of a resource management system that builds upon OpenStack, an open-source cloud platform for private and public clouds. Our implementation supports an Infrastructure...
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ISBN:
(纸本)9781450322102
We report on design, implementation and evaluation of a resource management system that builds upon OpenStack, an open-source cloud platform for private and public clouds. Our implementation supports an Infrastructure-as-a-Service (IaaS) cloud and currently provides allocation for computational resources in support of both interactive and computationally intensive applications. the design supports an extensible set of management objectives between which the system can switch at runtime. We demonstrate through examples how management objectives related to load-balancing and energy efficiency can be mapped onto the controllers of the resource allocation subsystem, which attempts to achieve an activated management objective at all times. the design is extensible in the sense that additional objectives can be introduced by providing instantiations for generic functions in the controllers. Our implementation monitors the fulfillment of the relevant management metrics in real time. Testbed evaluation demonstrates the effectiveness of our approach in a dynamic environment. It further illustrates the trade-off between closely meeting a specific management objective and the associated cost of VM live-migration.
"Algorithmically Transitive network" (ATN) is a novel computational model based on a data-flow network, consisting of the following operations: a forward propagation propelled with node firing and token crea...
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In recent years, a lot of interest has been drawn to the so-called multiple input multiple output (MIMO) systems in their potential to achieve enormous capacity gains. this increase in capacity is dependent upon the p...
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ISBN:
(纸本)9781612846835;9781612846828
In recent years, a lot of interest has been drawn to the so-called multiple input multiple output (MIMO) systems in their potential to achieve enormous capacity gains. this increase in capacity is dependent upon the propagation environment exhibiting sufficient scattering. the characterization of MIMO channels is therefore required in order to analyze the performance of such systems in real environments. this paper describes the realization of a measurement method adopts optimum m-sequence pairs for this application, capable of completing parallel measurements within the coherence time of the channel. Results based on measurements in LOS and NLOS locations are referenced and show the effectiveness of the proposed method. A further objective of these experiments is to get insight into the channel estimation.
this work presents a novel parallel multiobjective approach based on the Artificial Bee Colony algorithm for grooming low-speed traffic requests onto high-capacity optical channels. the traffic grooming problem in mes...
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this work presents a novel parallel multiobjective approach based on the Artificial Bee Colony algorithm for grooming low-speed traffic requests onto high-capacity optical channels. the traffic grooming problem in mesh optical networks is an NP-hard problem, so the usage of metaheuristics and parallelism jointly for increasing the network performance is a great option in order to reduce execution times. the parallel multiobjective approach is implemented by using OpenMP. We have measured the speedup and efficiency obtained by our parallel approach with 2, 4, 8, and 16 cores. Efficient numerical results are reported in the experimental phase conducted on two optical networks. Finally, we present a comparative study with traditional methods; in which we show that the usage of swarm intelligence outperforms previous results published in the literature.
In this paper we analyze the trade-off between energy and performance for a data-parallel execution of the LU factorization with partial pivoting on a multi-core processor. To improve energy efficiency, we adapt the r...
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In this paper we analyze the trade-off between energy and performance for a data-parallel execution of the LU factorization with partial pivoting on a multi-core processor. To improve energy efficiency, we adapt the runtime in charge of controlling the concurrent execution of the algorithm to leverage DVFS and block idle threads. For a CPU-bounded operation like the LU factorization, experiments on an AMD 8-core processor report a reduction around 5% in energy consumption for the largest problem sizes in exchange for a minor increase in the execution time.
We consider the task of electing a leader in a distributed manner in ad hoc multi-hop radio networks. Radio networks represent the class of wireless networks in which one frequency is used for transmissions, network...
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the design and analysis of complex systems need to determine suitable configurations for meeting requirement constraints. the Monotonic Indices Space (MIS) method is a useful approach for monotonic requirement space e...
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ISBN:
(纸本)9783642244025;9783642244032
the design and analysis of complex systems need to determine suitable configurations for meeting requirement constraints. the Monotonic Indices Space (MIS) method is a useful approach for monotonic requirement space exploration. However, the method is highly time and memory-Consuming. Aiming to the problem of low efficiency of sequential MIS method, this paper introduces a coarse-grained parallel execution mechanism to the MIS method for accelerating the process of requirement space exploration. the task pool model is used to receive and deploy hyperboxes for work balancing. To validate our approach, the speedup is estimated by a mathematical analysis and then an experiment is conducted in a PC cluster environment. the results show that high speedup and efficiency is achieved through our approach.
Dynamic behavior of resources is a non-negligible feature in grid system, and most research efforts on advance reservation cannot effectively deal withthe negative effect resulted from the dynamic feature. In this pa...
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ISBN:
(纸本)9783642244025
Dynamic behavior of resources is a non-negligible feature in grid system, and most research efforts on advance reservation cannot effectively deal withthe negative effect resulted from the dynamic feature. In this paper, a new grid system architecture using resource pool is proposed firstly. theoretical analysis demonstrates that resource pool can well adapt to dynamic behavior of resources. Secondly, Quality of Service (QoS) distance computation method for hybrid variable types is presented. then, k-set Availability Prediction Admission Control (kAPAC) algorithm is described in detail. Experimental results show that kAPAC can significantly increase success ratio of reservation, resource utilization and stability of grid system.
Authentication is of great importance in information security. Traditional method only focus on encryption of the content itself, which is the same withthe later proposed methods named information hiding and digital ...
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ISBN:
(纸本)9783642244025
Authentication is of great importance in information security. Traditional method only focus on encryption of the content itself, which is the same withthe later proposed methods named information hiding and digital watermark. Since data transmission is in the open network, it can easily be detected and intercepted by the malicious party. In this paper, we put forward a new method which utilize the communication channel, not the content, as the data carrier, and guarantee the validation of the user's identity during the common data transmission. Specifically, by manipulating the inter-packet delays, we implement a prototype system for authentication and embed the authentication tag within the packet intervals based on network covert channel. By conducting a series of experiments, we prove that our method performs well in LAN and Campus network.
this paper presents a novel parallel programming framework that orchestrates multiple languages such as C, C++, and Fortran and multiple computational architectures such as x86, POWER, and NVIDIA's Fermi to enhanc...
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ISBN:
(纸本)9781450306980
this paper presents a novel parallel programming framework that orchestrates multiple languages such as C, C++, and Fortran and multiple computational architectures such as x86, POWER, and NVIDIA's Fermi to enhance productivity of parallel stencil applications while supporting high performance. Unlike traditional parallel programming frameworks, our framework provides three unique features: (1) simple meta-level, visual programming to construct work-flows of components written in traditional programming languages, (2) optimal component parallelization and resource scheduling withthe stencil communication pattern resolution, and (3) automatic network code generation including MPI, sockets, memory copies, and pointer passing. We pro-totyped incompressible computational fluid dynamics applications and demonstrate the effectiveness of our approach by evaluating our framework.
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