The migration technology of virtual machine has received extensive attention in load balancing. In this paper, we purpose an optimized control strategy which combines multi-strategy mechanism with the prediction mecha...
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The migration technology of virtual machine has received extensive attention in load balancing. In this paper, we purpose an optimized control strategy which combines multi-strategy mechanism with the prediction mechanism. According to the weighted average of the CPU, memory, I/O and network bandwidth utilization, we divide the hosts into four status domains. The hosts within different load status domain adopt different migration strategy, which considers migration timing, migration candidate VM and migration destination. Through this strategy, it reduces the number of the overloaded hosts, avoids instantaneous peak problem caused by the migration of virtual machines, solves the imbalance problem and the high-cost problem in tradition scheduling algorithm of migration. Experimental results demonstrate that this strategy is able to reduce the migration times and improve system performance.
Service composition (SC) is currently one of the most popular research topics in service computing domain. Given a specific functional and non-functional requirements on a specific service, a composition algorithm sel...
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Service composition (SC) is currently one of the most popular research topics in service computing domain. Given a specific functional and non-functional requirements on a specific service, a composition algorithm selects a set of service components from an existing repository and composes them together as a total solution to fulfill the requirement. There have been fruitful achievements, e.g., template-based composition, planning-based composition, automated/semi-automated/manual composition, etc. However, along with BIRIS becomes a dominate form of modern service systems, a series of new appearing features bring great challenges to traditional SC researches, e.g., (1) from one single requirement to temporally sequential requirements, (2) the available services from abundant to limited, (3) from orchestration-oriented composition solution to choreography-oriented ones, (4) from specified requirements to ambiguous and personalized ones, (5) from the objective of maximizing customer satisfaction to ensuring the benefits of customers and providers together, etc. This paper analyzes these challenges elaborately and presents a classification framework which includes 4 dimensions and 13 sub-dimensions. Several typical SC issues in BIRIS scenario are identified under the framework.
Value is considered as the ultimate goal of a good service, and whether and to what degree the expected value could be delivered to customers and providers depends on capacities and quality of various functional servi...
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Value is considered as the ultimate goal of a good service, and whether and to what degree the expected value could be delivered to customers and providers depends on capacities and quality of various functional service elements in service system. Different elements have different contributions to the value production. Due to the limit of available service components to construct the service system, it is necessary to measure the priority of each service element in service models so that those elements with higher value-oriented priorities (VOP) should be implemented by concrete service components earlier and with higher capability during the service system development. This paper presents a quantitative evaluation method of VOP. Basic definition and measurement of service value are firstly introduced, and then VOP is put forward following three types of particular priorities called sensitivity points, tradeoff points and key points. Their characteristics and evaluation principles are presented in details, and the process of the quantitative evaluation method is put forward subsequently. To complement the above discussion, a case study from ocean transportation service is applied for demonstration.
Grid computing uses a job submission model that requires the users to perform a set of interactive operations for executing an application on the Grid. Grid users are therefore burdened with the tasks of understanding...
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Grid computing uses a job submission model that requires the users to perform a set of interactive operations for executing an application on the Grid. Grid users are therefore burdened with the tasks of understanding the basic concept of Grid computing and the details of job management. Cloud computing, on the other hand, applies a utility model that allows the user to access the underlying platform via Web services. This work brings the Cloud concept to the Grid with a result of replacing the job submission model with a service infrastructure. In this case, Grid applications are presented as Web services that can be executed on the Grid automatically without user interactions. All issues related to job management are performed by the system. The service infrastructure significantly simplifies the users' task in accessing the Grid.
MicroRNAs can regulate hundreds of target genes and play a pivotal role in a broad range of biological process. However, relatively little is known about how these highly connected miRNAs-target networks are remodelle...
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ISBN:
(纸本)9781457716669
MicroRNAs can regulate hundreds of target genes and play a pivotal role in a broad range of biological process. However, relatively little is known about how these highly connected miRNAs-target networks are remodelled in the context of various diseases. Here we examine the dynamic alteration of context-specific miRNA regulation to determine whether modified microRNAs regulation on specific biological processes is a useful information source for predicting cancer prognosis. A new concept, Context-specific miRNA activity (CoMi activity) is introduced to describe the statistical difference between the expression level of a miRNA's target genes and non-targets genes within a given gene set (context). The microarray gene expression profile of brain tumors from 356 patients (The Cancer Genome Atlas dataset) was converted into a CoMi activity pattern, and showed significant positive correlation with the corresponding miRNA expression pattern. In a breast cancer cohort, the differential CoMi activity between good prognosis (longer survival) vs. bad prognosis patients forms a scale-free network, which highlighted a group of important cancer-related microRNAs and GO terms, e.g. hsa-miR-34a and 'cell adhesion'. Then two breast cancer cohorts were used in outcome prediction in an independent test. Using a popular T-test feature selection method and a support vector machine (SVM) classifier with 10-fold cross-validation, the CoMi activity feature achieves an area under curve (AUC) of 0.7155, better than the AUC value of 0.6339 for feature selection based on mRNA expression. In an independent test, CoMi feature selection achieved an AUC of 0.6874. Survival analysis also shows signatures defined by CoMi activity was predictive of survival and superior to mRNAs signatures. In short, we have demonstrated the first interrogation of dynamic remodeling of context specific miRNAs regulation networks in cancer. The altered microRNAs regulation on specific contexts could be used to predi
This paper describes the CDRAS (Call Detail Records Analysis System) system, the motivation behind it, its approach and its background. The system aims at dealing with the notorious Man-in-the-Middle attack in the con...
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Radio frequency spectrum is a finite and scarce resource. However, past research efforts usually assume orthogonal channels of fixed bandwidth, prohibiting the effective use of the spectrum. Recently some work began t...
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Radio frequency spectrum is a finite and scarce resource. However, past research efforts usually assume orthogonal channels of fixed bandwidth, prohibiting the effective use of the spectrum. Recently some work began to explore dynamic channel width adaptation. In this paper, by reducing the optimal channel width adaptation into the "elastic packing" problem, we devise distributed algorithms based on graph multi-interval coloring and max-coloring. We then integrate our algorithms into the multi-radio multi-channel wireless mesh networks. Simulation results show that our schemes can improve network performance significantly.
We describe the implementation and performance of dense matrix multiplication and LU decomposition on the GRAPE-DR SIMD accelerator board. A GRAPE-DR card, with 4 GRAPE-DR chips, has the theoretical peak DP performanc...
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We describe the implementation and performance of dense matrix multiplication and LU decomposition on the GRAPE-DR SIMD accelerator board. A GRAPE-DR card, with 4 GRAPE-DR chips, has the theoretical peak DP performance of 819 Gflops. Each GRAPE-DR chip has 512 processing elements and operates with 400 MHz clock cycle. each PE can perform one addition and one multiplication in every two clock cycles. The measured performance of matrix multiplication is 730 Gflops for the multiplication of matrices with size 51200 by 2048 and 2048 by 51200. The performance of LU decomposition is 480 Gflops for the problem size of 51200.
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