Resource Allocation for Virtual Service Based on Heterogeneous Shared Hosting Platforms

Energy Efficient Resource Allocation for Virtual Services Based on Heterogeneous Shared Hosting Platforms in Cloud Computing

“…As stated in our previous work [12], for each type of resource under consideration a physical machine may have one or more single element resource (i.e., one or more single real CPU, one or more single real memory, …) and aggregate resources. Thus, the resources of a physical machine are represented by an ordered pair of multi-dimensional resource vectors ( , ).…”

“…We obtain the initial solution best by FFD [12] and calculate the objective function best . Next, an initial solution best is showed a current solution current .…”

“…F e l l e r, R i l l i n g and M o r i n [6] showed a resource allocation based on a homogeneous platforms model to provide the number of physical machines to virtual machine and proved that the energy consumption of the system is reduced if the number of used physical machines is diminished. We will explore the heterogeneous platforms as far as the resources of the physical machines are not the same [12,13]. In [12,25] the resource allocation problem is established and FFD algorithm is used to solve it.…”

“…We will explore the heterogeneous platforms as far as the resources of the physical machines are not the same [12,13]. In [12,25] the resource allocation problem is established and FFD algorithm is used to solve it. However, S e t z e r and S t a g e [11] demonstrated that this algorithm tends to wasting capabilities.…”

Applying Ant Colony System algorithm in multi-objective resource allocation for virtual services

“…In our previous studies (Nguyen, Dang, Nguyen, Le, & Nguyen, 2015;Pham et al, 2016), we proposed two algorithms to detect a deadlock mechanism for allocating resources in the heterogeneous shared platform. We designed the deadlock detection algorithms in order to resolve the resource optimization problems built on the recovery of allocated resources.…”