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SWG MapReduce amortized cost for clouds

Cost efficient scheduling of MapReduce applications on public clouds

Cost efficient scheduling of MapReduce applications on public clouds

... Public Clouds have become a natural host for these MapReduce ...greedy-based MapReduce application scheduling algorithm (MASA) that considers the user’s constraints in order to minimize cost ...

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Cost-Minimizing Preemptive Scheduling of MapReduce Workloads on Hybrid Clouds

Cost-Minimizing Preemptive Scheduling of MapReduce Workloads on Hybrid Clouds

... hybrid clouds, consisting of private infrastructure owned by themselves and public clouds such as Amazon EC2, to process their spiky MapReduce workloads, which fully utilize their own on-premise ...

6

Cost-minimizing preemptive scheduling of mapreduce workloads on hybrid clouds

Cost-minimizing preemptive scheduling of mapreduce workloads on hybrid clouds

... hybrid clouds, consisting of private infrastructure owned by themselves and public clouds such as Amazon EC2, to process their spiky MapReduce workloads, which fully utilize their own on-premise ...

7

MapReduce in the Clouds for Science

MapReduce in the Clouds for Science

... scientific MapReduce applications on two popular cloud ...scientific MapReduce applications executed in the cloud infrastructures exhibited performance and efficiency comparable to the MapReduce ...

8

Dependable mapreduce in a cloud-of-clouds

Dependable mapreduce in a cloud-of-clouds

... BFT MapReduce in the non-speculative and speculative ...the cost of seeks (White, ...BFT MapReduce in 200 cores, as our framework uses twice as many resources as the first with f = 1 and no faults, ...

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Hadoop MapReduce for Mobile Clouds

Hadoop MapReduce for Mobile Clouds

... The centralized architecture has many advantages. 1) Since a single node in the cluster stores the complete metadata, there is no wastage of the device memory by storing same metadata in all nodes when compared to the ...

15

Just in Time Clouds: Enabling Highly-Elastic Public Clouds over Low Scale Amortized Resources

Just in Time Clouds: Enabling Highly-Elastic Public Clouds over Low Scale Amortized Resources

... of amortized resources could act as suppliers of a particular type of cloud data centers, which we name JiT Data ...its cost of operation, at the same time that it avoids upfront investments in ...

8

Resilin: Elastic MapReduce for Private and Community Clouds

Resilin: Elastic MapReduce for Private and Community Clouds

... the cost of execution of MapReduce ...Cloud MapReduce system, showing its efficiency as it handles instance terminations more gracefully than a Hadoop ...

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Resilin: Elastic MapReduce over Multiple Clouds

Resilin: Elastic MapReduce over Multiple Clouds

... Elastic MapReduce cluster to some ...Elastic MapReduce starts executing the associated job ...instance cost is rounded up to the hour, which means a 1-minute and a 59-minute job flow cost the ...

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Chrysaor: Fine-Grained, Fault-Tolerant Cloud-of-Clouds MapReduce

Chrysaor: Fine-Grained, Fault-Tolerant Cloud-of-Clouds MapReduce

... Hadoop MapReduce runtimes spread in different clouds to provide fault-tolerance against arbitrary and malicious faults, and cloud ...reasonable cost, as our experimental evaluation ...

10

A Virtual Machine Consolidation Framework for MapReduce Enabled Computing Clouds

A Virtual Machine Consolidation Framework for MapReduce Enabled Computing Clouds

... the MapReduce job, T , is varied from 5000 to 500 accordingly so that the total amount of I/O bandwidth consumed by all the MapReduce instances remains in a constant ...host MapReduce instances.). ...

8

Scaling MapReduce Applications across Hybrid Clouds to Meet Soft Deadlines

Scaling MapReduce Applications across Hybrid Clouds to Meet Soft Deadlines

... The second set of experiments aimed at examining how the provisioning policy reacts to variation in deadlines while the execution time of Map tasks is kept constant. A two minute sleep time for each Map task was chosen ...

8

A Constraint Programming Based Hadoop Scheduler for Handling MapReduce Jobs with Deadlines on Clouds

A Constraint Programming Based Hadoop Scheduler for Handling MapReduce Jobs with Deadlines on Clouds

... a MapReduce framework for heterogeneous and load- imbalanced environments is ...the MapReduce matchmaking and scheduling problem using linear ...of MapReduce workloads that contain best-effort jobs ...

12

MapReduce in the Clouds for Science

MapReduce in the Clouds for Science

...  Analyze the performance and viability of performing 2 types of bioinformatics computations using MapReduce.. in cloud environments.[r] ...

22

Clouds and MapReduce for Scientific Applications

Clouds and MapReduce for Scientific Applications

... Metagenomics ‐ A Grand Challenge Vignette The study of microbial genomes is complicated by the fact that only small number of species can be isolated successfully and the current way forward is metagenomic studies of ...

5

Classification On The Clouds Using MapReduce

Classification On The Clouds Using MapReduce

... Since sending the instances between jobs is clearly a very costly option, one of the best options seems to be to iterate the entire data set in each job, and for each example tra[r] ...

8

Amortized Cost is Fair for Money Market Funds

Amortized Cost is Fair for Money Market Funds

... Rule 2a-7 thus became GAAP for money market mutual funds as they applied the Rule’s requirements both in calculating their daily stable price per share and in reporting the value of their investments in their financial ...

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ANALYSIS OF SECURITY AND PRIVACY FEATURES IN MAPREDUCE ON CLOUDS

ANALYSIS OF SECURITY AND PRIVACY FEATURES IN MAPREDUCE ON CLOUDS

... 1.1. MapReduce Framework MapReduce may be a process technique and a program model for distributed computing supported ...The MapReduce formula contains necessary tasks, specifically Map and scale ...

7

Optimizing data storage for MapReduce applications in the Azure Clouds

Optimizing data storage for MapReduce applications in the Azure Clouds

... Our system uses the metadata management provided by BlobSeer and allows us to send just small messages between entities, eliminating in this way the need to store additional information in Azure tables. Figure 12 ...

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A unifying type-theory for higher-order (amortized) cost analysis

A unifying type-theory for higher-order (amortized) cost analysis

... for amortized cost analysis of higher-order functional programs and shows that existing type systems for cost analysis can be embedded in ...for cost analysis in 𝜆-amor showing that, despite ...

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