Ryan Hancock, Sreeharsha Udayashankar, A. Mashtizadeh, S. Al-Kiswany
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引用次数: 3
Abstract
Serverless computing is rapidly growing area of research. No standardized benchmark currently exists for evaluating orchestration level decisions or executing large serverless workloads because of the limited data provided by cloud providers. Current benchmarks focus on other aspects, such as the cost of running general types of functions and their runtimes.We introduce OrcBench, the first orchestration benchmark based on the recently published Microsoft Azure serverless data set. OrcBench categorizes 8622 serverless functions into 17 distinct models, which represent 5.6 million invocations from the original trace.OrcBench also incorporates a time-series analysis to identify function chains within the dataset. OrcBench can use these to create workloads that mimic complete serverless applications, which includes simulating CPU and memory usage. The modeling allows these workloads to be scaled according to the target hardware configuration.
期刊介绍：
Cessation.
IEEE Cloud Computing is committed to the timely publication of peer-reviewed articles that provide innovative research ideas, applications results, and case studies in all areas of cloud computing. Topics relating to novel theory, algorithms, performance analyses and applications of techniques are covered. More specifically: Cloud software, Cloud security, Trade-offs between privacy and utility of cloud, Cloud in the business environment, Cloud economics, Cloud governance, Migrating to the cloud, Cloud standards, Development tools, Backup and recovery, Interoperability, Applications management, Data analytics, Communications protocols, Mobile cloud, Private clouds, Liability issues for data loss on clouds, Data integration, Big data, Cloud education, Cloud skill sets, Cloud energy consumption, The architecture of cloud computing, Applications in commerce, education, and industry, Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), Business Process as a Service (BPaaS)
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