On the public citation graph

SALSA: A Framework for Dynamic Configuration of Cloud Services

https://doi.org/10.1109/cloudcom.2014.99

0 signed · 44 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-09873-9_4openalex-snapshot

c-Eclipse: An Open-Source Management Framework for Cloud Applications

inferredcites →https://doi.org/10.1007/978-3-642-13645-0_12openalex-snapshot

Automatic Software Deployment in the Azure Cloud

inferredcites →https://doi.org/10.1007/978-3-642-45005-1_31openalex-snapshot

Multi-level Elasticity Control of Cloud Services

inferredcites →https://doi.org/10.1007/s10723-014-9296-5openalex-snapshot

Dynamic Management of Virtual Infrastructures

inferredcites →https://doi.org/10.1016/j.future.2011.07.005openalex-snapshot

The Aneka platform and QoS-driven resource provisioning for elastic applications on hybrid Clouds

inferredcites →https://doi.org/10.1109/aina.2010.81openalex-snapshot

A DSL-Based Approach to Software Development and Deployment on Cloud

inferredcites →https://doi.org/10.1109/ccgrid.2012.52openalex-snapshot

Lightweight Resource Scaling for Cloud Applications

inferredcites →https://doi.org/10.1109/cloud.2012.91openalex-snapshot

Placement in Clouds for Application-Level Latency Requirements

inferredcites →https://doi.org/10.1109/cloud.2013.133openalex-snapshot

Towards Model-Driven Provisioning, Deployment, Monitoring, and Adaptation of Multi-cloud Systems

inferredcites →https://doi.org/10.1109/cloudcom.2011.102openalex-snapshot

Automating Application Deployment in Infrastructure Clouds

inferredcites →https://doi.org/10.1109/cloudcom.2011.75openalex-snapshot

A Deployment Platform for Dynamically Scaling Applications in the Cloud

inferredcites →https://doi.org/10.1109/cloudcom.2013.116openalex-snapshot

An Exact Placement Approach for Optimizing Cost and Recovery Time under Faulty Multi-cloud Environments

inferredcites →https://doi.org/10.1109/cloudcom.2013.141openalex-snapshot

On-Demand Automated Fast Deployment and Coordinated Cloud Services

inferredcites →https://doi.org/10.1109/cloudcom.2013.18openalex-snapshot

MELA: Monitoring and Analyzing Elasticity of Cloud Services

inferredcites →https://doi.org/10.1109/cloudcom.2013.79openalex-snapshot

An Architecture for Evaluating Distributed Application Deployments in Multi-clouds

inferredcites →https://doi.org/10.1109/depcos-relcomex.2007.16openalex-snapshot

Dependability in Software Component Deployment

inferredcites →https://doi.org/10.1109/mic.2012.43openalex-snapshot

Portable Cloud Services Using TOSCA

inferredcites →https://doi.org/10.1109/ncca.2012.14openalex-snapshot

Dynamic Topology Orchestration for Distributed Cloud-Based Applications

inferredcites →https://doi.org/10.1109/wetice.2012.76openalex-snapshot

Approximate Placement of Service-Based Applications in Hybrid Clouds

inferredcites →https://doi.org/10.1145/2513534.2513542openalex-snapshot

Managing multi-cloud systems with CloudMF

inferredcites →https://doi.org/10.1155/2011/940242openalex-snapshot

Autonomic Management of Application Workflows on Hybrid Computing Infrastructure

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-319-59834-5_3openalex-snapshot

Distributed Computing Patterns Useful in Big Data Analytics

inferred← citeshttps://doi.org/10.1007/s10723-017-9421-3openalex-snapshot

Occopus: a Multi-Cloud Orchestrator to Deploy and Manage Complex Scientific Infrastructures

inferred← citeshttps://doi.org/10.1016/j.advengsoft.2018.08.001openalex-snapshot

Deploying Docker Swarm cluster on hybrid clouds using Occopus

inferred← citeshttps://doi.org/10.1080/17445760.2017.1334777openalex-snapshot

Fast-Sec: an approach to secure Big Data processing in the cloud

inferred← citeshttps://doi.org/10.1109/access.2019.2931637openalex-snapshot

Quantifying Uncertainty in Internet of Medical Things and Big-Data Services Using Intelligence and Deep Learning

inferred← citeshttps://doi.org/10.1109/access.2023.3322936openalex-snapshot

FaaS-Oriented Node.js Applications in an RPC Approach Using the Node2FaaS Framework

inferred← citeshttps://doi.org/10.1109/ccgrid49817.2020.00-55openalex-snapshot

Performance Comparison of Terraform and Cloudify as Multicloud Orchestrators

inferred← citeshttps://doi.org/10.1109/cist.2016.7804963openalex-snapshot

A cloud services composition approach based on customer's models and cloud services vendor's rules and specifications

inferred← citeshttps://doi.org/10.1109/cit/iucc/dasc/picom.2015.29openalex-snapshot

SMART: An Application Framework for Real Time Big Data Analysis on Heterogeneous Cloud Environments

inferred← citeshttps://doi.org/10.1109/edocw.2016.7584353openalex-snapshot

ClouNS - a Cloud-Native Application Reference Model for Enterprise Architects

inferred← citeshttps://doi.org/10.1109/hpcs.2018.00140openalex-snapshot

Enabling Strategies for Big Data Analytics in Hybrid Infrastructures

inferred← citeshttps://doi.org/10.1109/icacci.2018.8554632openalex-snapshot

Favour prediction of Taxi services using real-time visualization

inferred← citeshttps://doi.org/10.1109/icccri.2016.12openalex-snapshot

SINC - An Information-Centric Approach for End-to-End IoT Cloud Resource Provisioning

inferred← citeshttps://doi.org/10.1109/ieee.iciot.2017.23openalex-snapshot

P4SINC - An Execution Policy Framework for IoT Services in the Edge

inferred← citeshttps://doi.org/10.1109/ispras51486.2020.00015openalex-snapshot

Michman: an Orchestrator to deploy distributed services in cloud environments

inferred← citeshttps://doi.org/10.1109/mcc.2015.23openalex-snapshot

Principles for Engineering IoT Cloud Systems

inferred← citeshttps://doi.org/10.1109/mobserv.2016.20openalex-snapshot

Managing On-Demand Sensing Resources in IoT Cloud Systems

inferred← citeshttps://doi.org/10.1109/tetc.2020.3019202openalex-snapshot

StreamFlow: Cross-Breeding Cloud With HPC

inferred← citeshttps://doi.org/10.1145/3009925.3009930openalex-snapshot

The Prospects for Multi-Cloud Deployment of SaaS Applications with Container Orchestration Platforms

inferred← citeshttps://doi.org/10.1145/3107091.3107093openalex-snapshot

Testing uncertainty of cyber-physical systems in IoT cloud infrastructures: combining model-driven engineering and elastic execution

inferred← citeshttps://doi.org/10.1145/3144457.3144490openalex-snapshot

Modeling and Provisioning IoT Cloud Systems for Testing Uncertainties

inferred← citeshttps://doi.org/10.4018/978-1-5225-0153-4.ch008openalex-snapshot

EUBrazilCC Federated Cloud

inferred← citeshttps://doi.org/10.70675/325abfe2z01dez4452z9888z0a95a40baef3openalex-snapshot

A sofware product lines-based approach for the setup and adaptation of multi-cloud environments

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.