Quantitative system performance: computer system analysis using queueing network models
Quantitative system performance: computer system analysis using queueing network models
Online computation and competitive analysis
Online computation and competitive analysis
Routing and admission control in general topology networks with Poisson arrivals
Proceedings of the seventh annual ACM-SIAM symposium on Discrete algorithms
Triage: Performance differentiation for storage systems using adaptive control
ACM Transactions on Storage (TOS)
Dynamic instrumentation of production systems
ATEC '04 Proceedings of the annual conference on USENIX Annual Technical Conference
MapReduce: simplified data processing on large clusters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Operating system profiling via latency analysis
OSDI '06 Proceedings of the 7th USENIX Symposium on Operating Systems Design and Implementation - Volume 7
Dryad: distributed data-parallel programs from sequential building blocks
Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007
MapReduce: simplified data processing on large clusters
Communications of the ACM - 50th anniversary issue: 1958 - 2008
SCOPE: easy and efficient parallel processing of massive data sets
Proceedings of the VLDB Endowment
PARDA: proportional allocation of resources for distributed storage access
FAST '09 Proccedings of the 7th conference on File and storage technologies
VL2: a scalable and flexible data center network
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
Quincy: fair scheduling for distributed computing clusters
Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles
Hadoop: The Definitive Guide
Delay scheduling: a simple technique for achieving locality and fairness in cluster scheduling
Proceedings of the 5th European conference on Computer systems
ParaTimer: a progress indicator for MapReduce DAGs
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Towards optimizing hadoop provisioning in the cloud
HotCloud'09 Proceedings of the 2009 conference on Hot topics in cloud computing
CloudCmp: comparing public cloud providers
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
Runtime measurements in the cloud: observing, analyzing, and reducing variance
Proceedings of the VLDB Endowment
SecondNet: a data center network virtualization architecture with bandwidth guarantees
Proceedings of the 6th International COnference
Reining in the outliers in map-reduce clusters using Mantri
OSDI'10 Proceedings of the 9th USENIX conference on Operating systems design and implementation
Sharing the data center network
Proceedings of the 8th USENIX conference on Networked systems design and implementation
Disks are like snowflakes: no two are alike
HotOS'13 Proceedings of the 13th USENIX conference on Hot topics in operating systems
Near optimal online algorithms and fast approximation algorithms for resource allocation problems
Proceedings of the 12th ACM conference on Electronic commerce
ARIA: automatic resource inference and allocation for mapreduce environments
Proceedings of the 8th ACM international conference on Autonomic computing
Towards predictable datacenter networks
Proceedings of the ACM SIGCOMM 2011 conference
CloudProphet: towards application performance prediction in cloud
Proceedings of the ACM SIGCOMM 2011 conference
No one (cluster) size fits all: automatic cluster sizing for data-intensive analytics
Proceedings of the 2nd ACM Symposium on Cloud Computing
Towards Optimal Resource Provisioning for Running MapReduce Programs in Public Clouds
CLOUD '11 Proceedings of the 2011 IEEE 4th International Conference on Cloud Computing
Jockey: guaranteed job latency in data parallel clusters
Proceedings of the 7th ACM european conference on Computer Systems
Orchestrating the deployment of computations in the cloud with conductor
NSDI'12 Proceedings of the 9th USENIX conference on Networked Systems Design and Implementation
Performance isolation and fairness for multi-tenant cloud storage
OSDI'12 Proceedings of the 10th USENIX conference on Operating Systems Design and Implementation
Bridging the gap between applications and networks in data centers
ACM SIGOPS Operating Systems Review
Efficient online scheduling for deadline-sensitive jobs: extended abstract
Proceedings of the twenty-fifth annual ACM symposium on Parallelism in algorithms and architectures
A vision for personalized service level agreements in the cloud
Proceedings of the Second Workshop on Data Analytics in the Cloud
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The disconnect between the resource-centric interface exposed by today's cloud providers and tenant goals hurts both entities. Tenants are encumbered by having to translate their performance and cost goals into the corresponding resource requirements, while providers suffer revenue loss due to un-informed resource selection by tenants. Instead, we argue for a "job-centric" cloud whereby tenants only specify high-level goals regarding their jobs and applications. To illustrate our ideas, we present Bazaar, a cloud framework offering a job-centric interface for data analytics applications. Bazaar allows tenants to express high-level goals and predicts the resources needed to achieve them. Since multiple resource combinations may achieve the same goal, Bazaar chooses the combination most suitable for the provider. Using large-scale simulations and deployment on a Hadoop cluster, we demonstrate that Bazaar enables a symbiotic tenant-provider relationship. Tenants achieve their performance goals. At the same time, holistic resource selection benefits providers in the form of increased goodput.