An Effective Selection Method for Scheduling of Gridlets among Heterogeneous Resources with Load Balancing on GridSim

Fog computing and Edge computing are few of the latest technologies which are offered as solution to challenges faced in Cloud Computing. Instead of offloading of all the tasks to centralized cloud servers, some of the tasks can be scheduled at intermediate Fog servers or Edge devices. Though this solves most of the problems faced in cloud but also encounter other traditional problems due to resource-related constraints like load balancing, scheduling, etc. In order to address task scheduling and load balancing in Cloud-fog-edge collaboration among servers, we have proposed an improved version of min-min algorithm for workflow scheduling which considers cost, makespan, energy and load balancing in heterogeneous environment. This algorithm is implemented and tested in different offloading scenarios- Cloud only, Fog only, Cloud-fog and Cloud-Fog-Edge collaboration. This approach performed better and the result gives minimum makespan, less energy consumption along with load balancing and marginally less cost when compared to min-min and ELBMM algorithms

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Dynamic Load Balancing of Black-Box Applications with a Resource Selection Mechanism on Heterogeneous Resources of the Grid

Lecture Notes in Computer Science - Parallel Computing Technologies ◽

10.1007/978-3-540-73940-1_26 ◽

2007 ◽

pp. 245-260 ◽

Cited By ~ 4

Author(s):

Valeria V. Krzhizhanovskaya ◽

Vladimir V. Korkhov

Keyword(s):

Load Balancing ◽

Dynamic Load ◽

Resource Selection ◽

Black Box ◽

Dynamic Load Balancing ◽

Selection Mechanism ◽

Heterogeneous Resources

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An effective selection method for low-mass active black holes and first spectroscopic identification

Publications of the Astronomical Society of Japan ◽

10.1093/pasj/psw033 ◽

2016 ◽

Vol 68 (3) ◽

pp. 40 ◽

Cited By ~ 7

Author(s):

Tomoki Morokuma ◽

Nozomu Tominaga ◽

Masaomi Tanaka ◽

Naoki Yasuda ◽

Hisanori Furusawa ◽

...

Keyword(s):

Black Holes ◽

Selection Method ◽

Effective Selection ◽

Low Mass ◽

Spectroscopic Identification

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Distributed Dynamic Load Balancing in P2P Grid Systems

Cloud, Grid and High Performance Computing ◽

10.4018/978-1-60960-603-9.ch018 ◽

2011 ◽

pp. 284-298

Author(s):

You-Fu Yu ◽

Po-Jung Huang ◽

Kuan-Chou Lai

Keyword(s):

Load Balancing ◽

Large Scale ◽

Resource Monitoring ◽

Grid Systems ◽

Resource Information ◽

Distributed Load ◽

Communication Mechanism ◽

Geographically Distributed ◽

Dynamic Resource ◽

Heterogeneous Resources

P2P Grids could solve large-scale scientific problems by using geographically distributed heterogeneous resources. However, a number of major technical obstacles must be overcome before this potential can be realized. One critical problem to improve the effective utilization of P2P Grids is the efficient load balancing. This chapter addresses the above-mentioned problem by using a distributed load balancing policy. In this chapter, we propose a P2P communication mechanism, which is built to deliver varied information across heterogeneous Grid systems. Basing on this P2P communication mechanism, we develop a load balancing policy for improving the utilization of distributed computing resources. We also develop a P2P resource monitoring system to capture the dynamic resource information for the decision making of load balancing. Moreover, experimental results show that the proposed load balancing policy indeed improves the utilization and achieves effective load balancing.

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