Heuristic and meta-heuristic workflow scheduling algorithms in multi-cloud environments — A survey

2015 ◽  
Author(s):  
C. Nandhakumar ◽  
K. Ranjithprabhu
Keyword(s):  
Scheduling Algorithms ◽  
Workflow Scheduling ◽  
Cloud Environments ◽  
Multi Cloud

scholarly journals Workflow Scheduling Algorithms for Hard-deadline Constrained Cloud Environments

2016 ◽  
Vol 80 ◽  
pp. 2098-2106 ◽  
Author(s):  
Alexander A. Visheratin ◽  
Mikhail Melnik ◽  
Denis Nasonov
Keyword(s):  
Scheduling Algorithms ◽  
Workflow Scheduling ◽  
Cloud Environments ◽  
Hard Deadline

scholarly journals Adaptive Resource Allocation and Consolidation for Scientific Workflow Scheduling in Multi-Cloud Environments

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 190173-190183
Author(s):  
Zheyi Chen ◽  
Kai Lin ◽  
Bing Lin ◽  
Xing Chen ◽  
Xianghan Zheng ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Scientific Workflow ◽  
Workflow Scheduling ◽  
Adaptive Resource Allocation ◽  
Cloud Environments ◽  
Adaptive Resource ◽  
Multi Cloud

Integer linear programming-based multi-objective scheduling for scientific workflows in multi-cloud environments

2019 ◽  
Vol 75 (10) ◽  
pp. 6683-6709
Author(s):  
Somayeh Mohammadi ◽  
Latif PourKarimi ◽  
Hossein Pedram
Keyword(s):  
Linear Programming ◽  
Integer Linear Programming ◽  
Scientific Workflows ◽  
Multi Objective ◽  
Cloud Environments ◽  
Multi Cloud

scholarly journals Security for Multi Cloud Using Server less Registering Approach

2021 ◽  
Vol 12 (3) ◽  
pp. 4801-4804
Author(s):  
Shravani Jasthi Et. al.
Keyword(s):  
Distributed Computing ◽  
Specific Area ◽  
Cloud Service ◽  
Service Access ◽  
Security Issue ◽  
Application Development ◽  
Security Enhancement ◽  
Execution Model ◽  
Cloud Environments ◽  
Multi Cloud

These days, in any application development, security for specific area has become crucial job in the service access environment. Since clients needs to utilize the unique services and resources in distributed computing environment. Here the security administrations and cloud portal frameworks have been highly advanced based on the client necessities. However cloud offers a lot of resources through the global service vendors and Multicloud technologies are rapidly in use, but still the cloud requires security enhancement. Applications become complex and have attacks when deployed on multiclouds .So it is very important factor to protect the data and resources from the hackers. In multiple cloud environments it is possible to control all the applications, user resources, secret information and other confidential user process level with the help of server less approach. The server less computing approach is a sort of Distributed computing execution model through which Cloud Service provider will allocate the resource to the client in a dynamic manner .This paper represents what is Multi cloud, advantages of Multicloud, Why Security issue with Multi cloud, How server less is different from monolith services and Security Approaches to multi cloud with server less computing.

An API for Development of User-Defined Scheduling Algorithms in Aneka PaaS Cloud Software

2019 ◽  
pp. 170-187 ◽  
Author(s):  
Rajinder Sandhu ◽  
Adel Nadjaran Toosi ◽  
Rajkumar Buyya
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Scheduling Algorithms ◽  
Research Area ◽  
Programming Models ◽  
Hybrid Cloud ◽  
Main Research ◽  
Cloud Application ◽  
Cloud Environments ◽  
Cloud Infrastructures

Cloud computing provides resources using multitenant architecture where infrastructure is created from one or more distributed datacenters. Scheduling of applications in cloud infrastructures is one of the main research area in cloud computing. Researchers have developed many scheduling algorithms and evaluated them using simulators such as CloudSim. Their performance needs to be validated in real-time cloud environments to improve their usefulness. Aneka is one of the prominent PaaS software which allows users to develop cloud application using various programming models and underline infrastructure. This chapter presents a scheduling API developed for the Aneka software platform. Users can develop their own scheduling algorithms using this API and integrate it with Aneka to test their scheduling algorithms in real cloud environments. The proposed API provides all the required functionalities to integrate and schedule private, public, or hybrid cloud with the Aneka software.

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