The Inter-cloud Meta-scheduling (ICMS) Framework

This work covers the inter-cloud meta-scheduling system that encompasses the essential components of the interoperable cloud setting for wide service dissemination. The study herein illustrates a set of distributed and decentralized operations by highlighting meta-computing characteristics. This is...

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Bibliographic Details
Main Authors: Sotiriadis, S., Bessis, N., Kuonen, P., Antonopoulos, N.
Format: Conference Proceeding
Language:English
Subjects:
Availability
Cloud computing
cloud metrics
cloud service distribution
Decision making
Dynamic scheduling
Inter-cloud
Measurement
Meta-brokers
Monitoring
Resource management
service meta-scheduling
SimIC
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Description
Summary:This work covers the inter-cloud meta-scheduling system that encompasses the essential components of the interoperable cloud setting for wide service dissemination. The study herein illustrates a set of distributed and decentralized operations by highlighting meta-computing characteristics. This is achieved by using meta-brokers that determine a middle-standing component for orchestrating the decision making process in order to select the most appropriate datacenter resource among collaborated clouds. The selection is based on heuristic performance criteria (e.g. the service execution time, latency, energy efficiency etc.). Our solution is more advanced when compared to conventional centralized schemes, as it offers robust real-time scalable, elastic and flexible service scheduling in a fully decentralized and dynamic manner. Similarly, issues related with bottleneck on multiple service requests, heterogeneity, information exposition and consideration of variation of workloads are of prime focus. In view of that, the whole process is based upon random service requests from users that are clients of a sub-cloud of an inter-cloud datacenter and access is done via a meta-broker. The inter-cloud facility distributes the request for service by enclosing each personalized service into a host virtual machine. The study presents a detailed discussion of the algorithmic model for demonstrating the whole service dissemination, allocation, execution and monitoring process along with the preliminary implementation and configuration on a proposed SimIC simulation framework.
ISSN:1550-445X
2332-5658
DOI:10.1109/AINA.2013.122