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2022 IEEE International Conference on Cloud Engineering (IC2E) : IC2E 2022 : Pacific Grove, California, USA, 26-30 September 2022 / Cristina Ceballos, editor.

IEEE Xplore (IEEE/IET Electronic Library - IEL) Available online

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Format:
Book
Contributor:
Ceballos, Cristina, editor.
Language:
English
Subjects (All):
Computer engineering--Congresses.
Computer engineering.
Physical Description:
1 online resource : illustrations
Other Title:
2022 IEEE International Conference on Cloud Engineering
Place of Publication:
Los Alamitos : IEEE, 2022.
Summary:
The IEEE International Conference on Cloud Engineering (IC2E) is a premier conference on cloud computing, which represents a paradigm shift for the use and delivery of information technology (IT) that has revolutionized on demand access to resources, economies of scale, and dynamic sourcing options IC2E provides a high quality and comprehensive forum where researchers and practitioners can exchange information on engineering principles, enabling technologies, and practical experiences related to Cloud Computing The conference brings together experts who work on different levels of the cloud stack including systems, storage, networking, platforms, databases, applications, and software engineering IC2E offers an end to end view of the challenges and technologies in Cloud Computing, fosters new research that addresses the interaction between different layers of the stack, and ultimately helps shape the future of cloud transformed business and society.
Contents:
TDIS 2022 Paper Session 1
Network Emulation in Large-Scale Virtual Edge Testbeds: A Note of Caution and the Way Forward
IoTreeplay: Synchronous Distributed Traffic Replay in IoT Environments
Integration of C-V2X Into a Hybrid Testbed to Co-Simulate ITS Applications and Scenarios
TDIS 2022 Paper Session 2
An End-to-End Framework for Benchmarking Edge-Cloud Cluster Management Techniques
Towards Energy Consumption and Carbon Footprint Testing for AI-Driven IoT Services
Data Processing
Decentralized Computation Market for Stream Processing Applications
Efficient Transmission and Reconstruction of Dependent Data Streams via Edge Sampling
Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing
Streaming vs. Functions: A Cost Perspective on Cloud Event Processing
Serverless Computing
Hardless: A Generalized Serverless Compute Architecture for Hardware Processing Accelerators
Fusionize: Improving Serverless Application Performance Through Feedback-Driven Function Fusion
TriggerBench: A Performance Benchmark for Serverless Function Triggers
Function Memory Optimization for Heterogeneous Serverless Platforms with CPU Time Accounting
Pay-as-you-Train: Efficient Ways of Serverless Training
Data Storage
Log-Based CRDT for Edge Applications
Privacy-Preserving Storage in the Fog
Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning
Novel Abstraction and Offload Mechanisms for High Performance Cloud-Native Distributed Object Stores
4DHI: An Index for Approximate kNN Search of Remotely Sensed Images in Key-Value Databases
Scalable Collaborative Software Visualization as a Service
CloudBruno: A Low-Overhead Online Workload Prediction Framework for Cloud Computing
Resource Management
UnifiedNetManagement: Unified Network Management for Heterogeneous Edge Enterprise Network
Optimum VM Placement for NFV Infrastructure
Workload-Aware Dynamic GPU Resource Management in Component-Based Applications
Security & Privacy
MicroBlind: Flexible and Secure File System Middleware for Application Sandboxe
Guarding Against Universal Adversarial Perturbations in Data-Driven Cloud/Edge Services
Understanding Software Security Vulnerabilities in Cloud Server Systems
Automated Traces-Based Anomaly Detection and Root Cause Analysis in Cloud Platforms
PACED: Provenance-Based Automated Container Escape Detection
Posters
Adaptive Replication Strategy in Highly Distributed Data Management Systems
Demo Paper: Benchmarking Scalability of Cloud-Native Applications with Theodolite
Is Ant Colony System Better than FFD for VM Placement in a Heterogeneous Cluster?
Poster Paper: Operating System Support for Applications Performance Analysis
Author Index.
Notes:
Description based on publisher supplied metadata and other sources.
Includes index.
ISBN:
1-66549-115-9

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