The space complexity of approximating the frequency moments
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
Resource containers: a new facility for resource management in server systems
OSDI '99 Proceedings of the third symposium on Operating systems design and implementation
Log-based architectures for general-purpose monitoring of deployed code
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Operating systems should support business change
HOTOS'05 Proceedings of the 10th conference on Hot Topics in Operating Systems - Volume 10
Modeling the relative fitness of storage
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PeerReview: practical accountability for distributed systems
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Pors: proofs of retrievability for large files
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Provable data possession at untrusted stores
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Flicker: an execution infrastructure for tcb minimization
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Virtual platform architectures for resource metering in datacenters
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Hey, you, get off of my cloud: exploring information leakage in third-party compute clouds
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Secure in-VM monitoring using hardware virtualization
Proceedings of the 16th ACM conference on Computer and communications security
Delay scheduling: a simple technique for achieving locality and fairness in cluster scheduling
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Towards automatic optimization of MapReduce programs
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A Case for Consumer-centric Resource Accounting Models
CLOUD '10 Proceedings of the 2010 IEEE 3rd International Conference on Cloud Computing
Improving MapReduce performance in heterogeneous environments
OSDI'08 Proceedings of the 8th USENIX conference on Operating systems design and implementation
Performance profiling in a virtualized environment
HotCloud'10 Proceedings of the 2nd USENIX conference on Hot topics in cloud computing
A collaborative monitoring mechanism for making a multitenant platform accountable
HotCloud'10 Proceedings of the 2nd USENIX conference on Hot topics in cloud computing
CloudCmp: comparing public cloud providers
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
Verifiable network-performance measurements
Proceedings of the 6th International COnference
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ETTM: a scalable fault tolerant network manager
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Sharing the data center network
Proceedings of the 8th USENIX conference on Networked systems design and implementation
HiTune: dataflow-based performance analysis for big data cloud
USENIXATC'11 Proceedings of the 2011 USENIX conference on USENIX annual technical conference
Enabling security in cloud storage SLAs with CloudProof
USENIXATC'11 Proceedings of the 2011 USENIX conference on USENIX annual technical conference
The Case for Evaluating MapReduce Performance Using Workload Suites
MASCOTS '11 Proceedings of the 2011 IEEE 19th Annual International Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems
Exertion-based billing for cloud storage access
HotCloud'11 Proceedings of the 3rd USENIX conference on Hot topics in cloud computing
Towards verifiable resource accounting for outsourced computation
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Verifying cloud services: present and future
ACM SIGOPS Operating Systems Review
Cloudoscopy: services discovery and topology mapping
Proceedings of the 2013 ACM workshop on Cloud computing security workshop
Verifiable network function outsourcing: requirements, challenges, and roadmap
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An equation-based Heap Sizing Rule
Performance Evaluation
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Cloud computing offers users the potential to reduce operating and capital expenses by leveraging the amortization benefits offered by large, managed infrastructures. However, the black-box and dynamic nature of the cloud infrastructure makes it difficult for them to reason about the expenses that their applications incur. At the same time, the profitability of cloud providers depends on their ability to multiplex several customer applications to maintain high utilization levels. However, this multiplexing may cause providers to incorrectly attribute resource consumption to customers or implicitly bear additional costs thereby reducing their cost-effectiveness. Our position in this paper is that for cloud computing as a paradigm to be sustainable in the long term, we need a systematic approach for verifiable resource accounting. Verifiability here means that cloud customers can be assured that (a) their applications indeed physically consumed the resources they were charged for and (b) that this consumption was justified based on an agreed policy. As a first step toward this vision, in this paper we articulate the challenges and opportunities for realizing such a framework.